{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/learning"},"x-facet":{"type":"skill","slug":"learning","display":"Learning","count":100},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b252135-932"},"title":"Data Scientist","description":"<p>As a data scientist, you will work directly with internal engineering teams within Powertrain Engineering to help shape the effective use of digital tools, data and new methods (e.g. analytics, automation and AI) in engineering.</p>\n<p>Your contribution will have an impact that extends beyond individual projects, shaping the way engineering works, develops and remains efficient at AVL Powertrain Engineering in the long term.</p>\n<p><strong>Responsibilities:</strong> Analysis of large amounts of data and derivation of relevant insights Development and implementation of ML and statistical algorithms Application of modern data science methods for process and efficiency optimization Building models for structured and unstructured data Creating visualizations and dashboards for data-driven decisions Collaborating with engineering and specialist departments to identify potential Ensuring data quality and best practice standards Providing technical support in pre-sales phases and customer projects</p>\n<p><strong>Profile:</strong> Completed education (University, University of Technology, University of Applied Sciences) with a focus on mathematics, statistics, computer science or related fields At least 3–5 years of professional experience in data science, industrial ML use cases or related areas Confident use of Python/R/Scala and ML frameworks (e.g. TensorFlow, Spark) Knowledge of statistical modeling and data analysis Experience in building machine learning models Analytical and conceptual thinking, as well as the ability to communicate technical insights to different stakeholders in an understandable way Strong problem-solving skills and high quality awareness Strong communication and teamwork skills, as well as strong organizational skills Very good English skills, German skills are an advantage or at least a willingness to learn German Willingness to travel up to 10 percent of the time (mainly Croatia)</p>\n<p><strong>We Offer:</strong> Various working time models, flextime and the possibility of working from home Employee discounts for various offers and services Company sports club with more than 30 sections and regular sports events/trips 80% subsidy for public transportation costs or access to a personal parking space Attractive bike leasing program</p>\n<p><strong>Annual Remuneration:</strong> Due to the Austrian Equal Treatment Act we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: €61,000.00.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6b252135-932","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Graz-Data-Scientist-fmd/1368950533/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"€61,000.00","x-skills-required":["Python","R","Scala","TensorFlow","Spark","Statistical modeling","Data analysis","Machine learning","Data visualization","Data quality"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:34:57.406Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, R, Scala, TensorFlow, Spark, Statistical modeling, Data analysis, Machine learning, Data visualization, Data quality","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":61000,"maxValue":61000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_59ee66be-71c"},"title":"Data Scientist w/m/d","description":"<p>As a Data Scientist at AVL, you will work closely with engineering teams to design and implement data-driven solutions using machine learning, statistics, and data science methods. Your focus will be on creating efficient and sustainable development environments that improve the engineering process.</p>\n<p>Your role will involve analyzing large datasets, developing and implementing machine learning algorithms, and creating visualizations and dashboards for data-driven decision-making. You will also collaborate with engineering and other departments to identify opportunities for improvement and ensure data quality and best practices.</p>\n<p>We offer a range of benefits, including flexible working hours, a 80% public transportation reimbursement, and a comprehensive health insurance plan. Our company culture values diversity, equality, and inclusion, and we strive to create a workplace where everyone feels welcome and valued.</p>\n<p>If you are interested in this opportunity, please submit your application through our online portal. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_59ee66be-71c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL List GmbH","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Graz-Data-Scientist-wmd/1368950433/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"€61,000.00 brutto","x-skills-required":["Python","R","Scala","TensorFlow","Spark","statistical modeling","data analysis","machine learning","data visualization"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:34:53.948Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Graz"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, R, Scala, TensorFlow, Spark, statistical modeling, data analysis, machine learning, data visualization","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":61000,"maxValue":61000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_abbd735e-a83"},"title":"Werkstudent im Bereich Control Electronics","description":"<p>As a student in the field of control electronics, you will be working on exciting development projects for central electronic domains of modern vehicle architectures. Your tasks will include:</p>\n<p>Analyzing and evaluating hardware architectures Supporting tests of electronic prototypes Developing circuit diagrams and layouts for microcontrollers, power supplies, output stages, and CAN/Ethernet interfaces Using AI-based tools to automate review processes Programming microcontrollers</p>\n<p>You will have the opportunity to gain practical experience in modern development processes for vehicle control systems and electronics. You will be part of a team that works on high-innovative projects in the areas of e-mobility, ADAS/AD, and software development.</p>\n<p>AVL offers a dynamic and innovative work environment with opportunities for professional growth and development. We offer a competitive salary and benefits package, as well as a wide range of training and development programs.</p>\n<p>If you are interested in working in a fast-paced and dynamic environment, and are looking for a challenging and rewarding career opportunity, we encourage you to apply for this position.</p>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Dynamic and innovative work environment</li>\n<li>Wide range of training and development programs</li>\n<li>Mobile work options, flexible working hours, and modern working conditions</li>\n</ul>\n<p>We are an equal opportunities employer and welcome applications from all qualified candidates.</p>\n<p>Please note that this is a temporary position, and the duration of the contract will be discussed during the interview process.</p>\n<p>Required skills:</p>\n<ul>\n<li>Bachelor&#39;s degree in electrical engineering, mechatronics, or a related field</li>\n<li>Good knowledge of control electronics and related components</li>\n<li>Analytical thinking and problem-solving skills</li>\n<li>Excellent communication and teamwork skills</li>\n<li>Proficiency in programming languages such as C, C++, or Python</li>\n<li>Experience with AI-based tools and machine learning algorithms</li>\n</ul>\n<p>Preferred skills:</p>\n<ul>\n<li>Experience with embedded systems and microcontrollers</li>\n<li>Knowledge of automotive electronics and systems</li>\n<li>Familiarity with simulation tools and modeling software</li>\n<li>Experience with version control systems such as Git</li>\n<li>Certification in areas such as automotive electronics, control systems, or software development</li>\n</ul>\n<p>If you are interested in this position, please submit your application, including your resume, cover letter, and any relevant certificates or references. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_abbd735e-a83","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL Software and Functions GmbH","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Regensburg-Werkstudent-im-Bereich-Control-Electronics-%28mwd%29/1380406133/","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["control electronics","microcontrollers","AI-based tools","machine learning algorithms","C","C++","Python"],"x-skills-preferred":["embedded systems","automotive electronics","simulation tools","modeling software","version control systems","Git"],"datePosted":"2026-04-22T17:34:32.530Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Regensburg"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"control electronics, microcontrollers, AI-based tools, machine learning algorithms, C, C++, Python, embedded systems, automotive electronics, simulation tools, modeling software, version control systems, Git"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cea12da4-788"},"title":"Werkstudent (m/w/d) Data Science & Range Management","description":"<p>As a Werkstudent in our Data Science &amp; Range Management team, you will play a key role in developing and implementing data-driven solutions to optimize our electric vehicle&#39;s range and performance. Your tasks will include supporting the planning, execution, and evaluation of test drives, as well as developing and applying data science methods to analyze real-world data from our vehicles. You will also contribute to the development of a comprehensive and efficient simulation workflow, including model development, data management, and result analysis.</p>\n<p>Our team is responsible for designing, developing, testing, and releasing the characteristics of our future sports cars. We work on energy prediction, displaying the current remaining range, optimizing charging stops, and developing functions to increase the perceived range of our vehicles.</p>\n<p>As a Werkstudent, you will have the opportunity to gain hands-on experience in a dynamic and innovative environment, working closely with experienced professionals and contributing to the development of cutting-edge technology.</p>\n<p>We are looking for a highly motivated and talented individual with a strong background in data science, computer science, or a related field. You should have excellent programming skills, particularly in Python, and experience with data analysis and visualization tools such as MatLab/Simulink. Additionally, you should have a solid understanding of machine learning concepts and be able to apply them to real-world problems.</p>\n<p>If you are passionate about data science, innovation, and the automotive industry, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cea12da4-788","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20469","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"part-time","x-salary-range":null,"x-skills-required":["data science","computer science","Python","MatLab/Simulink","machine learning"],"x-skills-preferred":["data analysis","visualization","programming"],"datePosted":"2026-04-22T17:33:13.549Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Weissach"}},"employmentType":"PART_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"data science, computer science, Python, MatLab/Simulink, machine learning, data analysis, visualization, programming"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9118d9b1-13e"},"title":"Assistant Engineer, Robotics","description":"<p>We are seeking an Assistant Engineer, Robotics to join our team in Shanghai. As an Assistant Engineer, you will assist the R&amp;D team in the design, development, and optimisation of robot hardware and software. Your responsibilities will include maintaining and running robotics-related CICD/Simulation tool chains, supporting VLA-related technology development and deployment, and participating in the testing, debugging, and verification of robot prototypes.</p>\n<p>The ideal candidate will have a fresh graduate degree in Robotics, Mechanical Engineering, Electrical Engineering, Automation, Computer Science, Artificial Intelligence, or a related field. You should be proficient in at least one programming language, with Python being highly preferred. Additionally, you should have practical experience in Computer Vision, Natural Language Processing, or Reinforcement Learning.</p>\n<p>As an Assistant Engineer, you will work closely with the development team to understand business scenarios, identify business opportunities, and ensure solutions meet requirements. You will also stay up-to-date with industry trends in robotics and apply them to practical work under the guidance of senior colleagues.</p>\n<p>If you are passionate about robotics and technological innovation, with strong learning ability and curiosity, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9118d9b1-13e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche Engineering Group GmbH","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20417","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Robotics","Computer Vision","Natural Language Processing","Reinforcement Learning"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:33:13.087Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, Robotics, Computer Vision, Natural Language Processing, Reinforcement Learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5bcf593-890"},"title":"Werkstudent (m/w/d) für Automatisierung/Data Analysis/Machine Learning im Kontext einer techn. Großanlage","description":"<p>As a work student, you will support the continuous operation of a technical large-scale facility. Your tasks will include data analysis, machine learning, and data storage. You will work closely with our team to develop and implement new methods and techniques to improve our operations.</p>\n<p>Our team is responsible for the continuous operation of a technical large-scale facility. We are looking for a work student to support us in our daily tasks. As a work student, you will have the opportunity to gain hands-on experience in data analysis, machine learning, and data storage.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Support the continuous operation of a technical large-scale facility</li>\n<li>Data analysis and machine learning</li>\n<li>Data storage and management</li>\n<li>Development and implementation of new methods and techniques</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Study of engineering or computer science with a focus on automation, data processing, or related fields</li>\n<li>Experience with machine learning and data analysis</li>\n<li>Good knowledge of Python</li>\n<li>Excellent communication and teamwork skills</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Opportunity to gain hands-on experience in data analysis, machine learning, and data storage</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Competitive salary and benefits package</li>\n</ul>\n<p>If you are interested in this opportunity, please send your application, including your resume and cover letter, to [insert contact information].</p>\n<p>We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d5bcf593-890","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20459","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"part-time","x-salary-range":null,"x-skills-required":["Python","Machine learning","Data analysis","Data storage","Automation"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:32:27.108Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Weissach"}},"employmentType":"PART_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, Machine learning, Data analysis, Data storage, Automation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6746b70e-abf"},"title":"Assistant Engineer, AI Test Development","description":"<p>As an Assistant Engineer in AI Test Development, you will design and develop AI models to address specific testing challenges, build AI-powered testing applications, and participate in the development of the team&#39;s AI platform. You will work on the deployment and serving infrastructure for AI models in cloud or on-premise environments, collaborate with testers and developers to understand business scenarios, and stay updated with industry trends in AI testing.</p>\n<p>We are looking for a fresh graduate with a Bachelor&#39;s degree or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related majors. You should be proficient in at least one programming language, preferably Python, and have basic coding, debugging, and problem-solving skills. Practical experience in Computer Vision, Natural Language Processing, or Reinforcement Learning is also required.</p>\n<p>You will work in a dynamic and innovative R&amp;D team, where you will have the opportunity to learn new technologies and contribute to the development of cutting-edge AI solutions. If you are eager to learn and grow with a leading company in the automotive industry, please apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6746b70e-abf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche Engineering Group GmbH","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20416","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","AI/ML","Computer Vision","Natural Language Processing","Reinforcement Learning"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:32:20.008Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, AI/ML, Computer Vision, Natural Language Processing, Reinforcement Learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_456e74ae-bd7"},"title":"Praktikant (m/w/d) Disposition Serie","description":"<p>As a member of our team, you will be responsible for ensuring the availability of materials for the series production of one of the world&#39;s most modern car factories. You will work closely with internal interfaces, international suppliers, and logistics companies to achieve this goal.</p>\n<p>Your tasks will include:</p>\n<ul>\n<li>Coordinating with suppliers to ensure timely delivery of materials</li>\n<li>Collaborating with logistics teams to optimize material flow</li>\n<li>Developing strategies to mitigate supply chain disruptions</li>\n<li>Analyzing data to identify areas for improvement</li>\n</ul>\n<p>In return, we offer a dynamic and challenging work environment, opportunities for professional growth, and a competitive salary.</p>\n<p>If you are a motivated and detail-oriented individual with excellent communication skills, we encourage you to apply for this exciting opportunity.</p>\n<p><strong>Duration:</strong> 6 months <strong>Start date:</strong> 01.10.2026 <strong>Location:</strong> Leipzig</p>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Business Administration, Engineering, or a related field</li>\n<li>Excellent communication and organizational skills</li>\n<li>Ability to work independently and as part of a team</li>\n<li>Proficiency in Microsoft Office and SAP</li>\n</ul>\n<p><strong>Preferred qualifications:</strong></p>\n<ul>\n<li>Experience in logistics or supply chain management</li>\n<li>Knowledge of transportation planning tools and warehouse management systems</li>\n<li>Familiarity with artificial intelligence and machine learning</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Opportunities for professional growth and development</li>\n<li>Dynamic and challenging work environment</li>\n<li>Flexible working hours</li>\n</ul>\n<p><strong>How to apply:</strong></p>\n<p>Please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_456e74ae-bd7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche Leipzig GmbH","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20345","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Logistics","Supply Chain Management","Communication","Organizational Skills","Microsoft Office","SAP"],"x-skills-preferred":["Transportation Planning","Warehouse Management","Artificial Intelligence","Machine Learning"],"datePosted":"2026-04-22T17:32:19.134Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Leipzig"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Automotive","skills":"Logistics, Supply Chain Management, Communication, Organizational Skills, Microsoft Office, SAP, Transportation Planning, Warehouse Management, Artificial Intelligence, Machine Learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a6c403fe-896"},"title":"Functional Support Specialist for SAP FI Processes","description":"<p>As a Functional Support Specialist for SAP FI Processes, you will provide end-to-end functional support for SAP FI processes, lead incident analysis and resolution for complex FI-related issues, and perform impact analysis and solution design for change requests. You will also act as the primary FI contact for business finance stakeholders and ensure solutions align with SAP Best Practices and internal accounting controls.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Providing functional support for SAP FI processes, including General Ledger, Accounts Receivable, Accounts Payable, Asset Accounting, and Bank Accounting</li>\n<li>Leading incident analysis and resolution for complex FI-related issues</li>\n<li>Performing impact analysis and solution design for change requests</li>\n<li>Acting as the primary FI contact for business finance stakeholders</li>\n<li>Ensuring solutions align with SAP Best Practices and internal accounting controls</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Strong experience in SAP Financial Accounting, with a focus on General Ledger (New GL/Universal Journal), Accounts Receivable, Accounts Payable, Asset Accounting, and Bank Accounting</li>\n<li>Proven experience in SAP S/4HANA Finance, with at least one AMS or post-go-live support engagement, working in L2/L3 support models</li>\n<li>Solid configuration knowledge of SAP FI processes</li>\n<li>Deep understanding of financial integration points</li>\n<li>Confident use of SAP Fiori Launchpad, application logs, and message handling</li>\n<li>Bachelor&#39;s Degree in Computer Science or a related field is an advantage</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in SAP S/4HANA implementation projects</li>\n<li>Functional support for data migration mapping and load</li>\n<li>Involvement in both ECC and S/4HANA environments</li>\n<li>Experience in SAP FI Localization</li>\n<li>Strong analytical mindset</li>\n<li>Structured problem-solving skills</li>\n<li>Excellent communication skills</li>\n<li>Continuous learning attitude</li>\n<li>Ability to deliver on parallel projects</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a6c403fe-896","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"http://www.mhp.com/","logo":"https://logos.yubhub.co/mhp.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20396","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SAP Financial Accounting","SAP S/4HANA Finance","SAP Fiori Launchpad","SAP Application Logs","SAP Message Handling","General Ledger","Accounts Receivable","Accounts Payable","Asset Accounting","Bank Accounting"],"x-skills-preferred":["SAP S/4HANA Implementation Projects","Data Migration Mapping and Load","ECC and S/4HANA Environments","SAP FI Localization","Analytical Mindset","Structured Problem-Solving Skills","Excellent Communication Skills","Continuous Learning Attitude","Ability to Deliver on Parallel Projects"],"datePosted":"2026-04-22T17:31:37.766Z","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Consulting","skills":"SAP Financial Accounting, SAP S/4HANA Finance, SAP Fiori Launchpad, SAP Application Logs, SAP Message Handling, General Ledger, Accounts Receivable, Accounts Payable, Asset Accounting, Bank Accounting, SAP S/4HANA Implementation Projects, Data Migration Mapping and Load, ECC and S/4HANA Environments, SAP FI Localization, Analytical Mindset, Structured Problem-Solving Skills, Excellent Communication Skills, Continuous Learning Attitude, Ability to Deliver on Parallel Projects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ded9cb6-4d5"},"title":"Development of a Methodology for Detection, Tracking, and Qualitative and Quantitative Evaluation of Particles in the Venting Process of a Thermal Runaway Event","description":"<p>The increasing use of lithium-ion batteries in future electric vehicles requires a more in-depth examination of system safety, particularly in the context of rising energy densities and growing performance requirements. A central safety-critical scenario is the thermal runaway of individual battery cells. In this event, a high-energy gas particle stream is released, characterised by strong transient thermal, mechanical, and abrasive stresses. These loads can cause significant damage to adjacent components up to structural failure. The goal of the thesis is the development of a methodology for detection, tracking, and qualitative and quantitative evaluation of particles in the venting process of a thermal runaway event. For this purpose, a neural network is to be designed, trained, and applied to high-speed recordings of the venting process. The evaluation data generated by the model are to be compared with results from classical PIV methods (Particle Image Velocimetry) to assess the performance and validity of the approach. Based on the data obtained, characteristic parameters are to be identified and derived to describe the particle emission during the thermal runaway. In the first work step, a systematic literature review is conducted on existing particle tracking procedures and related image-based analysis methods. On this basis, a suitable model for particle tracking in the context of thermal runaway is developed and implemented. The validation of the model takes place using experimental data to evaluate its predictive quality and robustness. Finally, the applicability and potential for further development of the developed approach are critically discussed.</p>\n<p>The tasks of the thesis include the analysis of safety-critical thermal runaway scenarios in lithium-ion batteries and the development of a methodology for AI-supported detection, tracking, and evaluation of particles in the venting process. For this purpose, suitable neural network architectures are identified for particle tracking in highly dynamic and optically challenging environments, and their performance is evaluated in comparison to established image-based methods such as PIV. Based on experimental high-speed recordings, relevant physical parameters are derived and their validity for characterising the thermal runaway event is assessed. The work typically includes the following focal points:</p>\n<p>Literature review on particle tracking procedures, image-based flow analysis, and AI methods in the context of safety-critical battery scenarios (e.g., neural networks, deep learning for computer vision, tracking algorithms). Analysis of the physical and measurement-related boundary conditions at thermal runaway of lithium-ion batteries, particularly the gas particle emission and the associated thermal, mechanical, and abrasive stresses. Design, implementation, and training of a neural network for detection and tracking of particles in high-speed recordings of the venting process. Evaluation and validation of the developed approach using experimental data and comparison with classical PIV methods regarding accuracy, robustness, and validity. Derivation of characteristic parameters for qualitative and quantitative description of particle emission during thermal runaway. Documentation and scientific preparation of the results in the framework of a bachelor&#39;s or master&#39;s thesis with strong practical relevance.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1ded9cb6-4d5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20341","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Python","Machine Learning","Künstliche Intelligenz","Deep Learning","Computer Vision","Tracking-Algorithmen","Neuronale Netze","Particle Image Velocimetry","Flow Analysis","Image Processing"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:31:34.836Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Weissach"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, Machine Learning, Künstliche Intelligenz, Deep Learning, Computer Vision, Tracking-Algorithmen, Neuronale Netze, Particle Image Velocimetry, Flow Analysis, Image Processing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dd821a22-5a6"},"title":"Abschlussarbeit (J000020339)","description":"<p>The increased use of lithium-ion batteries in future electric vehicles presents new challenges to systems security, particularly in terms of high energy densities and increased performance demands. A particularly safety-relevant scenario is thermal runaway of individual battery cells. In this process, a highly energetic gas-particle stream is released, characterised by strong transient thermal, mechanical, and abrasive loads. These stresses can cause significant damage to adjacent components and lead to structural failure.</p>\n<p>The goal of this work is to develop a predictive method for evaluating material performance under thermal runaway conditions due to escaping gas and particles at materials used in venting structures. To achieve this, a neural network will be designed, trained, and applied to new materials. The neural network will be trained and validated using existing experimental and simulation data. The generated evaluation data will be compared with results from classical substitute and cell tests to evaluate the performance and reliability of the developed approach. Based on the obtained data, characteristic parameters for evaluating material failure under thermal runaway conditions will be identified and derived.</p>\n<p>In the first step, a systematic literature review will be conducted on existing experimental, analytical, and simulation methods for evaluating fire protection materials in the thermal runaway context. Based on this, a suitable model for evaluating material performance in the context of thermal runaway will be developed, trained, and implemented. The model will be validated using experimental data to assess its predictive accuracy and robustness. Finally, the applicability of the developed approach and potential opportunities for further development will be critically discussed.</p>\n<p>Key tasks:</p>\n<ul>\n<li>Conduct a systematic literature review on existing experimental, analytical, and simulation methods for evaluating fire protection materials in the thermal runaway context.</li>\n</ul>\n<ul>\n<li>Design, train, and implement a neural network for predictive evaluation of material performance under thermal runaway conditions.</li>\n</ul>\n<ul>\n<li>Evaluate and analyse experimental and simulation data to validate the model.</li>\n</ul>\n<ul>\n<li>Compare generated evaluation data with results from classical substitute and cell tests.</li>\n</ul>\n<ul>\n<li>Identify and derive characteristic parameters for evaluating material failure under thermal runaway conditions.</li>\n</ul>\n<ul>\n<li>Critically discuss the applicability of the developed approach and potential opportunities for further development.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s or master&#39;s degree in computer science, mechanical engineering, electrical engineering, or a related field.</li>\n</ul>\n<ul>\n<li>Experience in machine learning and deep learning.</li>\n</ul>\n<ul>\n<li>Familiarity with Python programming language and relevant libraries.</li>\n</ul>\n<ul>\n<li>Good understanding of thermal runaway phenomena and fire protection materials.</li>\n</ul>\n<ul>\n<li>Excellent communication and teamwork skills.</li>\n</ul>\n<ul>\n<li>Ability to work independently and manage multiple tasks.</li>\n</ul>\n<p>Preferred skills:</p>\n<ul>\n<li>Experience with neural networks and deep learning frameworks such as TensorFlow or PyTorch.</li>\n</ul>\n<ul>\n<li>Familiarity with simulation software such as ANSYS or COMSOL.</li>\n</ul>\n<ul>\n<li>Knowledge of thermal analysis and heat transfer.</li>\n</ul>\n<ul>\n<li>Experience with data analysis and visualisation tools such as Matplotlib or Seaborn.</li>\n</ul>\n<ul>\n<li>Familiarity with version control systems such as Git.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dd821a22-5a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20339","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Machine learning","Deep learning","Neural networks","Data analysis","Data visualisation","Simulation software","Thermal analysis","Heat transfer"],"x-skills-preferred":["TensorFlow","PyTorch","ANSYS","COMSOL","Matplotlib","Seaborn","Git"],"datePosted":"2026-04-22T17:28:20.238Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Weissach"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Python, Machine learning, Deep learning, Neural networks, Data analysis, Data visualisation, Simulation software, Thermal analysis, Heat transfer, TensorFlow, PyTorch, ANSYS, COMSOL, Matplotlib, Seaborn, Git"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_468176dd-4f0"},"title":"Research Scientist (Sensor Simulation)","description":"<p>We&#39;re looking for a Research Scientist to join our team and help us develop new sensor simulation techniques. As a Research Scientist, you will be responsible for researching and developing new methods for simulating sensor data, as well as collaborating with other teams to integrate these simulations into our production processes.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Research and develop new methods for simulating sensor data</li>\n<li>Collaborate with other teams to integrate sensor simulations into production processes</li>\n<li>Analyze and optimize sensor simulation algorithms for improved accuracy and efficiency</li>\n<li>Develop and maintain documentation for sensor simulation methods and tools</li>\n<li>Present research findings and results to internal stakeholders</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD in Computer Science, Mathematics, or related field</li>\n<li>Strong background in machine learning and deep learning</li>\n<li>Experience with computer vision and image processing</li>\n<li>Proficiency in Python and C++ programming languages</li>\n<li>Excellent communication and collaboration skills</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with Gaussian splatting and other sensor simulation techniques</li>\n<li>Familiarity with popular machine learning frameworks such as TensorFlow and PyTorch</li>\n<li>Experience with Linux operating system and Git version control</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a leading automotive manufacturer</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Professional development opportunities</li>\n</ul>\n<p>If you&#39;re passionate about research and development, and want to contribute to the creation of innovative sensor simulation techniques, we encourage you to apply for this exciting opportunity!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_468176dd-4f0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20313","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Deep Learning","Computer Vision","Image Processing","Python","C++"],"x-skills-preferred":["Gaussian Splatting","TensorFlow","PyTorch","Linux","Git"],"datePosted":"2026-04-22T17:28:18.205Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Machine Learning, Deep Learning, Computer Vision, Image Processing, Python, C++, Gaussian Splatting, TensorFlow, PyTorch, Linux, Git"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_10b210c5-098"},"title":"Manager Workday (f/m/d)","description":"<p><strong>Job Description</strong></p>\n<p>Du bist begeistert von HR-Transformationen und bringst eine ausgeprägte IT-Affinität mit, insbesondere für Workday? Dann werde Teil unseres Teams und gestalte die digitale Zukunft unserer Kunden – mit Schwerpunkten wie Human Capital Management, Recruiting, Learning, Performance Management und mehr.</p>\n<p>Als Workday Streamlead nutzt du deine Expertise, um End-to-End-Prozesse zu optimieren, Workday-Lösungen erfolgreich zu integrieren und innovative Digitalisierungskonzepte im HR-Bereich voranzutreiben.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li><strong>Workday-Lösungsimplementierung:</strong> Du bist verantwortlich für erfolgreiche Workday Implementierungen in Modulen wie HCM, Compensation, Recruiting, Talent, Learning, Time Tracking, Absence, Performance oder Daten</li>\n<li><strong>Projektleitung &amp; Stream-Verantwortung:</strong> Du übernimmst die Verantwortung für die Planung, Durchführung und Überwachung von Workday-Projekten oder führst einzelne Projektstreams. Dabei berätst du unsere Kunden zu Best Practices und unterstützt sie bei der Optimierung ihrer HR-Prozesse</li>\n<li><strong>Systemkonfiguration &amp; Datenintegration</strong>: Du konfigurierst Workday-Lösungen, extrahierst Daten aus anderen HR-IT-Tools und integrierst diese nahtlos in die bestehende Systemlandschaft</li>\n<li><strong>Architektur- und Prozessberatung:</strong> Du bewertest HR-Prozesse auf ihre Systemkompatibilität, definierst Anforderungen und entwickelst optimale Lösungen innerhalb der Workday-Architektur</li>\n<li><strong>Networking &amp; Wissensvermittlung:</strong> Du baust Kundenbeziehungen auf und pflegst diese aktiv. Zusätzlich trägst du zur Weiterentwicklung unserer Beratungsleistungen und der Wissensvermittlung innerhalb des Teams bei</li>\n<li><strong>Business Development:</strong> Du unterstützt bei (Pre)-Sales Aktivitäten, entwickelst passgenaue Angebote für unsere Bestands- und Neukunden und verantwortest den kompletten Angebotsprozess</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<p>Um für deinen Weg als (Senior) Manager Workday (f/m/d) gewappnet zu sein, bringst du folgende Qualifikationen mit:</p>\n<ul>\n<li><strong>Abgeschlossenes Studium</strong> im Bereich Informatik, Wirtschaftsinformatik, Betriebswirtschaft oder einem vergleichbaren Studiengang und mind. 5 Jahre Erfahrung und Kenntnisse im HR und Workday Umfeld</li>\n<li><strong>Leidenschaft</strong> für Beratung sowie für Stakeholder-Management</li>\n<li><strong>Expertise</strong> im Consulting sowie in HR-Prozessen und eine hohe Affinität für zukunftsweisende Technologien im HR-Umfeld. Zudem verfügst Du bereits über eine oder mehrere Workday-Zertifizierungen (z. B. HCM Core, Compensation etc.)</li>\n<li>Eine <strong>Arbeitsweise</strong> ist strukturiert, analytisch, kundenorientiert und geprägt von Flexibilität</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Bei MHP wächst du in einem innovativen und fördernden Umfeld kontinuierlich an deinen Aufgaben. Das macht uns zum perfekten Sparring-Partner für deine Karriere. Sowohl für fachlichen Input als auch berufliches Networking. Unter anderem bieten wir dir dabei:</p>\n<ul>\n<li>Wertschätzung. Wir unterstützen und schätzen Kolleg:innen so wie sie sind und feiern unsere Erfolge gemeinsam.</li>\n<li>Wir freuen uns immer über Kreativität und neue Impulse.</li>\n<li>Flexibilität. Zeitlich wie örtlich – je nach Projekt zu Hause, im Office, beim Kunden.</li>\n<li>Du hast mit uns die Möglichkeit zu wachsen, in den Aufgaben, deinem Knowhow und in der Verantwortung.</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>Bewirb dich am besten gleich. Ganz einfach online über unseren JobLocator. Dort kannst du deine Bewerbungsunterlagen, wie Lebenslauf, Zeugnisse und ggf. Projektlisten, in wenigen Klicks an uns schicken. Ein Anschreiben ist nicht erforderlich.</p>\n<p><strong>Contact</strong></p>\n<p>Du hast noch Fragen? Dann schaue dir unsere FAQs auf unserer Karriereseite an.</p>\n<p>Für weitere Anliegen wende dich gerne an unser Recruiting Team unter +49 (0)7141 7856 1600.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_10b210c5-098","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"https://mhp.com","logo":"https://logos.yubhub.co/mhp.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=14930","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Unsere Mitarbeiter erhalten ein marktkonformes Gehalt.","x-skills-required":["Workday","Human Capital Management","Recruiting","Learning","Performance Management","Systemkonfiguration","Datenintegration","Architektur- und Prozessberatung","Networking","Wissensvermittlung","Business Development"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:27:13.474Z","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Workday, Human Capital Management, Recruiting, Learning, Performance Management, Systemkonfiguration, Datenintegration, Architektur- und Prozessberatung, Networking, Wissensvermittlung, Business Development"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2f018386-f6d"},"title":"Praktikant (m/w/d) im Bereich Unternehmens- & Arbeitssicherheit, Brand- & Umweltschutz mit Schwerpunkt Digitalisierung und E-Learning","description":"<p>As a trainee in the field of corporate and work safety, brand and environmental protection with a focus on digitalization and e-learning, you will gain comprehensive insights into the Porsche working world and support us in various projects and tasks.</p>\n<p>Your tasks will include supporting the implementation of digitalization projects, participating in the conception of e-learning modules in the field of occupational safety and environmental protection, assisting in the creation of presentation and training materials, and supporting the operational daily business.</p>\n<p>To be successful in this role, you should have a strong interest in digitalization and e-learning, as well as excellent communication and teamwork skills. You should also be able to work independently and structured.</p>\n<p>The traineeship will last for 5-6 months and will start at the beginning of each semester, either on the 1st or 15th of the month.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2f018386-f6d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche Leipzig GmbH","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20274","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Digitalization","E-learning","Occupational safety","Environmental protection","Communication","Teamwork","Independence","Structured work"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:27:07.221Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Leipzig"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Digitalization, E-learning, Occupational safety, Environmental protection, Communication, Teamwork, Independence, Structured work"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_77daa033-d93"},"title":"Praktikant (m/w/d) Personalentwicklung","description":"<p>We are seeking a motivated and enthusiastic intern to join our Human Resources department. As a key member of our team, you will support the planning, organisation and implementation of personnel development measures. Your tasks will include accompanying the training management over our digital learning platform, contributing to the creation of digital learning content, and playing a crucial role in the follow-up and evaluation of training sessions and seminars. You will also assist in creating training concepts and preparing presentations, bringing your own ideas to the table for didactic design.</p>\n<p>As a full-fledged team member in the Personnel department, you will support us in our daily business with your engagement.</p>\n<p>The internship will start in August 2026 and last for 6 months. You will work 35 hours per week.</p>\n<p>Requirements:</p>\n<ul>\n<li>Currently studying Business Psychology, Business Administration or a comparable course with a focus on personnel and a passion for personnel development</li>\n<li>Good knowledge of MS Office</li>\n<li>Fluent in German (B2 level) and good in English</li>\n<li>Motivated to work in a team with helpful and friendly colleagues, demonstrating your excellent communication skills and customer orientation</li>\n<li>Strong analytical and conceptual skills, as well as independent working style</li>\n</ul>\n<p>Note: A valid matriculation at a university or college (or currently in a gap year) is required.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_77daa033-d93","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche Engineering Services GmbH","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=5097","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["MS Office","Business Psychology","Business Administration","Personnel Development","Training Management","Digital Learning Platform","Learning Content Creation","Training Evaluation","Presentation Preparation"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:26:48.727Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bietigheim-Bissingen"}},"employmentType":"INTERN","occupationalCategory":"Human Resources","industry":"Automotive","skills":"MS Office, Business Psychology, Business Administration, Personnel Development, Training Management, Digital Learning Platform, Learning Content Creation, Training Evaluation, Presentation Preparation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_121112f5-aa8"},"title":"Practice Lead Data Science & AI Engineering","description":"<p>Are you interested in shaping the future of data-driven and intelligent systems - from classic AI use cases to physical AI in real-world applications (e.g., production, simulation, robotics, autonomous systems)? Then take responsibility for building and scaling our Practice.</p>\n<p>Your tasks will include:</p>\n<ul>\n<li>Leading and developing the Practice Data Science &amp; AI Engineering - technically and disciplinarily - and scaling teams, structures, and competences</li>\n<li>Being responsible for the strategic further development of our AI portfolio - especially in the areas of machine learning, computer vision, physical AI, and quantum computing</li>\n<li>Defining technical standards and reference architectures for AI, vision, and edge systems</li>\n<li>Identifying new use cases (e.g., visual quality inspection, autonomous systems, intelligent sensors, generative design) and developing scalable solutions for our customers</li>\n<li>Driving business development forward, developing offer portfolios, and supporting presales through technical solution designs</li>\n<li>Being responsible for expanding your team and managing the economic steering of the practice (e.g., utilization, growth, profitability)</li>\n</ul>\n<p>To be well-prepared for your path, you should have the following qualifications:</p>\n<ul>\n<li>Completed studies and several years of experience in building and leading technical teams or practices</li>\n<li>Passion for implementing complex AI or vision projects and technical solution design and presales</li>\n<li>Expertise in relevant technologies such as Python, TensorFlow, PyTorch, OpenCV, Kubernetes, and cloud or edge platforms (AWS, Azure, GCP)</li>\n<li>Knowledge in machine learning, AI systems, and computer vision and physical AI</li>\n<li>Your work style is characterized by analytical thinking, leadership, pragmatism, and strong team and customer orientation</li>\n</ul>\n<p>Important information before departure:</p>\n<ul>\n<li>Start date: after agreement - always at the beginning of a month</li>\n<li>Working hours: full-time (40 hours) and/or part-time possible; 30 vacation days</li>\n<li>Employment relationship: Unlimited</li>\n<li>Field: Consulting</li>\n<li>Language: Secure German and English</li>\n<li>Flexibility and travel readiness</li>\n<li>Other: Valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date</li>\n</ul>\n<p>As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the industry, with a global presence and a team of over 3,000 experts. MHP&#39;s mission is to drive excellence and sustainable success, and the company is committed to delivering high-quality services and solutions to its customers.</p>\n<p>At MHP, you will have the opportunity to grow and develop your skills in a dynamic and supportive environment. We offer a range of benefits, including flexible working hours, a comprehensive training program, and opportunities for professional development. Our team is passionate about innovation and customer satisfaction, and we are committed to making a positive impact on our customers&#39; businesses.</p>\n<p>If you are interested in this opportunity, please submit your application through our job locator. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_121112f5-aa8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20141","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Python","TensorFlow","PyTorch","OpenCV","Kubernetes","Cloud or edge platforms (AWS, Azure, GCP)","Machine learning","AI systems","Computer vision","Physical AI"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:26:47.887Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TensorFlow, PyTorch, OpenCV, Kubernetes, Cloud or edge platforms (AWS, Azure, GCP), Machine learning, AI systems, Computer vision, Physical AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c05eef2e-517"},"title":"Lead Data Scientist and AI Engineer","description":"<p>If you want to work on innovative AI solutions and lead a team, this might be the right opportunity for you. As a Lead Data Scientist and AI Engineer, you will be responsible for leading a team of data scientists, AI engineers, and computer vision specialists, as well as overseeing the successful implementation of data-driven and intelligent projects.</p>\n<p>Your tasks will include:</p>\n<ul>\n<li>Leading a team of data scientists, AI engineers, and computer vision specialists in a technical and disciplinary manner</li>\n<li>Managing AI, computer vision, and physical AI projects and being responsible for their successful implementation - from use case to productive deployment</li>\n<li>Steering the operational project deployment of your team and ensuring high utilization and delivery quality</li>\n<li>Supporting architectural decisions and ensuring compliance with technical standards (AI engineering, MLOps, vision pipelines)</li>\n<li>Actively participating in presales, developing demos, and supporting technical solution designs</li>\n<li>Developing your team technically and disciplinarily and building targeted competences in the areas of ML and physical AI</li>\n</ul>\n<p>To be successful in this role, you will need to have a strong background in data science, AI engineering, or machine learning, as well as leadership experience. You should also have a passion for implementing AI projects and a good understanding of technical solution designs.</p>\n<p>In addition to your technical expertise, you should have excellent communication and leadership skills, as well as the ability to work in a fast-paced environment.</p>\n<p>We offer a competitive salary and a range of benefits, including flexible working hours, a generous holiday allowance, and opportunities for professional development.</p>\n<p>If you are interested in this opportunity, please submit your application, including your resume and cover letter, through our online portal.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c05eef2e-517","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"https://www.mhp.com","logo":"https://logos.yubhub.co/mhp.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20142","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["data science","AI engineering","machine learning","leadership","communication","team management"],"x-skills-preferred":["computer vision","MLOps","vision pipelines","presales","demos","technical solution design"],"datePosted":"2026-04-22T17:26:27.506Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, AI engineering, machine learning, leadership, communication, team management, computer vision, MLOps, vision pipelines, presales, demos, technical solution design"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_083cf497-dd5"},"title":"Studio Manager","description":"<p>This is your chance to join Porsche. The Porsche Centre Studio Sylt is seeking a Studio Manager to strengthen our team. As the face of our Porsche Studio, you will welcome customers with high professionalism and create a positive first impression through excellent welcome management.</p>\n<p>You will identify the wishes and needs of our exclusive customers and fulfill them with passion and attention to detail.</p>\n<p>You will ensure a professional customer contact and impress our guests with excellent, customer-centred service.</p>\n<p>You will create a welcoming and warm atmosphere for our customers, making their visit to our Porsche Studio a unique experience.</p>\n<p>You will support our team in organisational and commercial tasks and contribute to a smooth daily routine.</p>\n<p>You will maintain customer data in the unified customer database C@P.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Welcome customers with high professionalism and create a positive first impression through excellent welcome management.</li>\n</ul>\n<ul>\n<li>Identify the wishes and needs of our exclusive customers and fulfill them with passion and attention to detail.</li>\n</ul>\n<ul>\n<li>Ensure a professional customer contact and impress our guests with excellent, customer-centred service.</li>\n</ul>\n<ul>\n<li>Create a welcoming and warm atmosphere for our customers, making their visit to our Porsche Studio a unique experience.</li>\n</ul>\n<ul>\n<li>Support our team in organisational and commercial tasks and contribute to a smooth daily routine.</li>\n</ul>\n<ul>\n<li>Maintain customer data in the unified customer database C@P.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Completed commercial training or equivalent qualification.</li>\n</ul>\n<ul>\n<li>Practical experience in the automotive industry is desirable but not essential. We value quick learning ability and the ability to quickly adapt to new tasks.</li>\n</ul>\n<ul>\n<li>Excellent communication and organisational skills.</li>\n</ul>\n<ul>\n<li>Proficient in MS Office.</li>\n</ul>\n<ul>\n<li>High reliability, flexibility, and commitment.</li>\n</ul>\n<ul>\n<li>Well-groomed appearance.</li>\n</ul>\n<ul>\n<li>Valid driving licence class B.</li>\n</ul>\n<ul>\n<li>Good knowledge of foreign languages, particularly English (desirable).</li>\n</ul>\n<p>We offer:</p>\n<ul>\n<li>A secure job with long-term prospects.</li>\n</ul>\n<ul>\n<li>30 days&#39; annual leave.</li>\n</ul>\n<ul>\n<li>Further training within our Emil Frey Academy.</li>\n</ul>\n<ul>\n<li>Exclusive employee discounts and corporate benefits.</li>\n</ul>\n<ul>\n<li>Occupational pension scheme/deferred compensation.</li>\n</ul>\n<ul>\n<li>Employee events and our Emil Frey team spirit.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_083cf497-dd5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Emil Frey Sportwagen GmbH","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20185","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["welcome management","customer service","communication skills","organisational skills","MS Office"],"x-skills-preferred":["foreign languages","quick learning ability"],"datePosted":"2026-04-22T17:25:24.038Z","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Automotive","skills":"welcome management, customer service, communication skills, organisational skills, MS Office, foreign languages, quick learning ability"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4cd24ec0-18d"},"title":"Praktikum Controlling – Digitalisierung & KI aktiv mitgestalten","description":"<p>As a member of our Data &amp; AI Team, you will contribute to the development and implementation of modern reporting and KI solutions that support data-driven decision-making processes in Controlling. Your tasks will include:</p>\n<p>Developing and implementing innovative planning tools Business Intelligence with SAP Analytics Cloud: creating and enhancing dashboards and reports for management Data modelling and integration with SAP Datasphere to create powerful data structures for analysis and forecasting Implementing and testing small machine learning solutions to automate and improve Controlling processes Supporting the Data &amp; AI Team in developing the strategy, methods, and tools for digital transformation in Controlling Collaborating in interdisciplinary projects focused on digitalisation and data-based process optimisation</p>\n<p>You will work closely with our Data &amp; AI Team to design and implement cutting-edge solutions that drive business success. Your contributions will help shape the future of Controlling at Porsche.</p>\n<p>In this role, you will have the opportunity to work on various projects, including:</p>\n<p>Developing and implementing new reporting and analytics solutions Enhancing existing dashboards and reports Creating data models and integrating them with SAP Datasphere Implementing machine learning algorithms to automate and improve Controlling processes Collaborating with cross-functional teams to drive digital transformation</p>\n<p>As a member of our team, you will be part of a dynamic and innovative environment where you can grow professionally and personally. You will have access to state-of-the-art technology and tools, as well as opportunities for professional development and networking.</p>\n<p>If you are passionate about data-driven decision-making, innovation, and collaboration, we encourage you to apply for this exciting opportunity.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Develop and implement modern reporting and KI solutions</li>\n<li>Create and enhance dashboards and reports for management</li>\n<li>Design and implement data models and integrate them with SAP Datasphere</li>\n<li>Implement and test small machine learning solutions</li>\n<li>Support the Data &amp; AI Team in developing the strategy, methods, and tools for digital transformation</li>\n<li>Collaborate in interdisciplinary projects focused on digitalisation and data-based process optimisation</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Economics, Computer Science, Mathematics, Data Science, Business Administration, or a related field</li>\n<li>First-hand experience in Business Intelligence, preferably with SAP Analytics Cloud and SAP Datasphere</li>\n<li>Basic knowledge of data modelling, data analysis, and machine learning</li>\n<li>Proficiency in MS Office and interest in modern database and cloud technologies</li>\n<li>Self-motivated, structured, and analytical working style</li>\n<li>Enjoy working in a team and being part of innovative digital solutions</li>\n<li>Flexibility and high motivation to learn and apply new technologies in Controlling</li>\n<li>Excellent German language skills and good English language skills</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Personal mentors and an open feedback culture</li>\n<li>Digital learning and working tools</li>\n<li>Mobile learning after coordination with the team</li>\n<li>Own project work</li>\n<li>Team events on a voluntary basis</li>\n<li>Active internship community</li>\n</ul>\n<p>Duration: 5-6 months</p>\n<p>Start date: September</p>\n<p>Location: Zuffenhausen</p>\n<p>We look forward to receiving your application!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4cd24ec0-18d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. Porsche AG","sameAs":"https://jobs.porsche.com","logo":"https://logos.yubhub.co/jobs.porsche.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=19216","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SAP Analytics Cloud","SAP Datasphere","Machine Learning","Data Modelling","Business Intelligence","Python","R","SQL"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:24:38.605Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zuffenhausen"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Automotive","skills":"SAP Analytics Cloud, SAP Datasphere, Machine Learning, Data Modelling, Business Intelligence, Python, R, SQL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d072c0e4-fd5"},"title":"Data Management and Analysis Co-op/Intern","description":"<p>This job description reflects potential openings for the Fall 2026 Co-op/Internship Session (August-December). As a Data Management and Analysis Co-op/Intern at Honda, you will collaborate with HR stakeholders to develop data-driven insights using Power BI and SQL, supporting a variety of HR functions such as recruiting, workforce planning, and talent management.</p>\n<p>You will be responsible for analyzing data to inform business decisions, developing reports and dashboards to communicate findings, and working closely with cross-functional teams to implement data-driven solutions.</p>\n<p>Additional responsibilities may include:</p>\n<ul>\n<li>Collaborating with HR stakeholders to develop data-driven insights using Power BI and SQL</li>\n<li>Supporting a variety of HR functions such as recruiting, workforce planning, and talent management</li>\n<li>Analyzing data to inform business decisions</li>\n<li>Developing reports and dashboards to communicate findings</li>\n<li>Working closely with cross-functional teams to implement data-driven solutions</li>\n</ul>\n<p>To be successful in this role, you will need to have strong analytical and problem-solving skills, excellent communication and collaboration skills, and the ability to work effectively in a fast-paced environment.</p>\n<p>If you are a motivated and detail-oriented individual who is passionate about data analysis and wants to contribute to a dynamic team, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d072c0e4-fd5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Honda","sameAs":"https://careers.honda.com","logo":"https://logos.yubhub.co/careers.honda.com.png"},"x-apply-url":"https://careers.honda.com/us/en/job/10828/Data-Management-and-Analysis-Co-op-Intern-Fall-2026","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"co-op/internship","x-salary-range":"$23.35-$30.21","x-skills-required":["Power BI","SQL","data analysis","reporting","dashboard development"],"x-skills-preferred":["data visualization","machine learning","statistics"],"datePosted":"2026-04-22T17:17:43.631Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Marysville, Ohio"}},"employmentType":"INTERN","occupationalCategory":"HR","industry":"Automotive","skills":"Power BI, SQL, data analysis, reporting, dashboard development, data visualization, machine learning, statistics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8877414b-002"},"title":"Product Lead - Security and Crime Prevention","description":"<p>At bunq, we&#39;re not just building a banking app; we&#39;re reshaping how people around the world experience financial freedom. As our Product Lead - Security and Crime Prevention, you will be the guardian of our users&#39; trust. Your mission is to ensure every user can access bunq safely from anywhere, always, by building a world-class, fortified, and intelligent security ecosystem.</p>\n<p>Take ownership: As our Product Lead - Security and Crime Prevention, you’ll own the product vision and roadmap to protect our users and our platform from constantly evolving threats.</p>\n<p>Own the end-to-end product strategy for security, guiding your team to design and control systems that provide robust protection while maintaining a seamless and beautiful user experience.</p>\n<p>Lead your team in the charge against financial crime by designing, building, and implementing advanced systems for fraud prevention, AML, and sanctions screening that stay ahead of emerging threats.</p>\n<p>Drive the operational excellence of our security functions, empowering your team to leverage automation, AI, and FinCrime modeling to improve efficiency, reduce manual workload, and stay in control of our regulatory obligations.</p>\n<p>Requirements: Proven skills in directly leading and guiding product teams. Familiarity with modern fraud prevention methods and technology. Strong understanding of financial regulations, compliance certifications, and audits. Basic skills in Machine Learning. Ability to think from a user&#39;s perspective, with a keen ability to balance security decisions with the end-user experience. Excellent communication and fluency in English.</p>\n<p>Your space to perform: We give you the space and the tools you need to succeed. Great, international colleagues who share your mindset. Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. Support for growth with bunq Academy and €1500 annual learning budget. Massive discount with Urban Sports Club for your wellbeing. Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices). Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration. Reward for tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office. MacBook provided. Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options. Optional pension plan with monthly contribution from bunq. Private health insurance, just in case. Monthly contribution to your phone and internet bills. Friday drinks and other celebrations - bunq style.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8877414b-002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/product-lead-fraud-and-crime-prevention","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product leadership","security","fraud prevention","AML","sanctions screening","Machine Learning","financial regulations","compliance certifications","audits"],"x-skills-preferred":[],"datePosted":"2026-04-19T13:29:23.585Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product leadership, security, fraud prevention, AML, sanctions screening, Machine Learning, financial regulations, compliance certifications, audits"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4f189c4-7f6"},"title":"Transaction Reviews Team Lead","description":"<p>As a Transaction Reviews Team Lead, your mission is to stop fraud before it happens, let genuine payments flow instantly, and protect our users without slowing them down.</p>\n<p>At bunq, we make life easy. That means every payment should be fast, safe, and stress-free. When something looks off, users count on us to act fast , with precision, clarity, and care.</p>\n<p>You&#39;ll lead a team of transaction review agents that while ensuring we&#39;re always one step ahead without compromising the user experience.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Take ownership</strong></p>\n<ul>\n<li>Ensure high accuracy in Transaction Reviews by maintaining a low error rate in identifying and blocking suspicious transactions while ensuring legitimate transactions are processed smoothly</li>\n</ul>\n<ul>\n<li>Manage escalations efficiently by making sure user inquiries regarding transaction reviews are addressed within the required timeframe</li>\n</ul>\n<ul>\n<li>Work on continuously improving our review processes by keeping up with evolving suspicious patterns and regulatory requirements</li>\n</ul>\n<p><strong>You&#39;ll thrive in our environment if this sounds like you:</strong></p>\n<ul>\n<li>Your keen attention to detail allows you to spot anomalies in transactions while ensuring error rates remain low</li>\n</ul>\n<ul>\n<li>You&#39;re familiar with AI and machine learning models, and you know how to leverage them to streamline processes and enhance accuracy</li>\n</ul>\n<ul>\n<li>You know how to handle escalations and user inquiries efficiently, ensuring swift resolution with solutions for long-term impact</li>\n</ul>\n<ul>\n<li>You&#39;re passionate about working in a data-driven environment</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>You&#39;re fluent in English</li>\n</ul>\n<ul>\n<li>You’re familiar with transaction monitoring, compliance regulations, and have experience managing operational processes</li>\n</ul>\n<ul>\n<li>You’ve successfully led a team before and know how to inspire and influence your team to achieve their best</li>\n</ul>\n<ul>\n<li>You understand compliance standards and regulatory requirements, enabling you to ensure adherence while improving how things are done</li>\n</ul>\n<ul>\n<li>You can develop realistic schedules and operational plans to tackle backlogs while maintaining high quality and accuracy</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d4f189c4-7f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/transaction-reviews-team-lead-2","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Transaction Monitoring","Compliance Regulations","Operational Processes"],"x-skills-preferred":[],"datePosted":"2026-04-19T13:28:02.901Z","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"AI, Machine Learning, Transaction Monitoring, Compliance Regulations, Operational Processes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ea5cbf61-e1b"},"title":"Senior Experience Support Guide","description":"<p>At bunq, we&#39;re looking for a Senior Experience Support Guide to join our team. As a Senior Experience Support Guide, you&#39;ll deliver fast, reliable, and humane support to our customers. You&#39;ll solve issues at their root, not just on the surface, and combine empathy with efficiency to build real user trust.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Delivering best-in-class support by maintaining exceptional response and resolution times</li>\n<li>Going beyond surface-level fixes by identifying root causes and implementing structural solutions</li>\n<li>Continuously improving support operations by optimizing workflows, refining escalation paths, and introducing smart automation</li>\n<li>Leveraging AI tools and data insights to enhance efficiency and proactively improve the user experience</li>\n<li>Acting as a mentor for junior guides by coaching, sharing knowledge, and elevating team performance</li>\n<li>Communicating complex topics in a simple, clear, and reassuring way, always aligned with bunq&#39;s tone of voice</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Thriving in fast-paced environments and delivering both speed and quality</li>\n<li>Naturally empathizing with users and turning frustration into trust</li>\n<li>Having a strong &#39;fix it for good&#39; mindset and digging into root causes</li>\n<li>Being an excellent written communicator who keeps things clear and human</li>\n<li>Enjoying mentoring others and raising the bar for your team</li>\n<li>Loving using AI, data, and automation to work smarter</li>\n<li>Taking full ownership and constantly looking for ways to improve</li>\n</ul>\n<p>If you&#39;re curious to see how we make life easy, try the bunq app – it only takes 5 minutes to sign up.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ea5cbf61-e1b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/senior-support-experience-guide-2","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","data","automation","communication","problem-solving","empathy","teamwork"],"x-skills-preferred":["machine learning","cloud computing","cybersecurity"],"datePosted":"2026-04-19T13:26:18.945Z","employmentType":"FULL_TIME","occupationalCategory":"Customer Support","industry":"Financial Services","skills":"AI, data, automation, communication, problem-solving, empathy, teamwork, machine learning, cloud computing, cybersecurity"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b33cbd91-bc9"},"title":"Systematic Production Support Engineer","description":"<p>We are seeking an experienced Systematic Production Support Engineer to help us scale our systematic operations and support engineering capabilities. This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.</p>\n<p>As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations</li>\n<li>Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions</li>\n<li>Implementing automated systems and processes focused on trading and operations</li>\n<li>Streamlining development and deployment processes</li>\n</ul>\n<p>Technical qualifications include:</p>\n<ul>\n<li>5+ years of development experience in Python</li>\n<li>Experience working in a Linux/Unix environment</li>\n<li>Experience working with PostgreSQL or other relational databases</li>\n</ul>\n<p>Preferred skills and experience include:</p>\n<ul>\n<li>Understanding of NLP, supervised/non-supervised learning, and Generative AI models</li>\n<li>Experience operating and monitoring low-latency trading environments</li>\n<li>Familiarity with quantitative finance and electronic trading concepts</li>\n<li>Familiarity with financial data</li>\n<li>Broad understanding of equities, futures, FX, or other financial instruments</li>\n<li>Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#</li>\n<li>Experience with Apache/Confluent Kafka</li>\n<li>Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)</li>\n<li>Experience with containerization and orchestration technologies</li>\n<li>Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure</li>\n<li>Contributions to open-source projects</li>\n</ul>\n<p>This is a unique opportunity to drive significant value creation for one of the world&#39;s leading investment managers.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b33cbd91-bc9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Unknown","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954716155","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Linux/Unix","PostgreSQL","NLP","supervised/non-supervised learning","Generative AI models","low-latency trading environments","quantitative finance","electronic trading concepts","financial data","equities","futures","FX","distributed systems","backend development","C/C++","Java","Scala","Go","C#","Apache/Confluent Kafka","SDLC pipelines","containerization","orchestration technologies","AWS","GCP","Azure"],"x-skills-preferred":["Understanding of NLP, supervised/non-supervised learning, and Generative AI models","Experience operating and monitoring low-latency trading environments","Familiarity with quantitative finance and electronic trading concepts","Familiarity with financial data","Broad understanding of equities, futures, FX, or other financial instruments","Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#","Experience with Apache/Confluent Kafka","Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)","Experience with containerization and orchestration technologies","Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure","Contributions to open-source projects"],"datePosted":"2026-04-18T22:14:36.583Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami, Florida, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Linux/Unix, PostgreSQL, NLP, supervised/non-supervised learning, Generative AI models, low-latency trading environments, quantitative finance, electronic trading concepts, financial data, equities, futures, FX, distributed systems, backend development, C/C++, Java, Scala, Go, C#, Apache/Confluent Kafka, SDLC pipelines, containerization, orchestration technologies, AWS, GCP, Azure, Understanding of NLP, supervised/non-supervised learning, and Generative AI models, Experience operating and monitoring low-latency trading environments, Familiarity with quantitative finance and electronic trading concepts, Familiarity with financial data, Broad understanding of equities, futures, FX, or other financial instruments, Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#, Experience with Apache/Confluent Kafka, Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline), Experience with containerization and orchestration technologies, Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure, Contributions to open-source projects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bd2d1b2-84f"},"title":"Senior Machine Learning Researcher","description":"<p>We are seeking a senior machine learning researcher to join our Core AI team.</p>\n<p>As part of the team, you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.</p>\n<p>You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.</p>\n<p>You will work closely with other AI/ML researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the full lifecycle of solution development, including requirements gathering with business, experimentation and algorithmic exploration, development, and assistance with productization.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Work independently or as part of a team to help design and implement high accuracy and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.</li>\n</ul>\n<ul>\n<li>Participate in all aspects of solution development, including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.</li>\n</ul>\n<ul>\n<li>Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.</li>\n</ul>\n<ul>\n<li>Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.</li>\n</ul>\n<ul>\n<li>Research and stay updated with the latest advancements in machine learning and AI technologies.</li>\n</ul>\n<ul>\n<li>Participate in code reviews, technical discussions, and knowledge sharing sessions.</li>\n</ul>\n<ul>\n<li>Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.</li>\n</ul>\n<p>Required Skills &amp; Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s with 10+ years, Master&#39;s with 7+ years, or PhD with 5+ years in Computer Science, Data Science, Machine Learning, or related field.</li>\n</ul>\n<ul>\n<li>Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.</li>\n</ul>\n<ul>\n<li>Hands-on experience with data processing, experimentation, and exploration.</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python.</li>\n</ul>\n<ul>\n<li>Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.</li>\n</ul>\n<ul>\n<li>Excellent problem-solving skills and attention to detail.</li>\n</ul>\n<ul>\n<li>Strong communication skills to collaborate with technical and non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Ability to work independently and collaboratively.</li>\n</ul>\n<p>Additional Preferred Skills &amp; Qualifications:</p>\n<ul>\n<li>Understanding of the financial markets, including experience with financial datasets, is strongly preferred.</li>\n</ul>\n<ul>\n<li>Experience with ML frameworks such as PyTorch, TensorFlow.</li>\n</ul>\n<ul>\n<li>Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.</li>\n</ul>\n<ul>\n<li>Previous experience working in an Agile environment.</li>\n</ul>\n<p>Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1bd2d1b2-84f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT - Artificial Intelligence","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954012324","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$175,000 to $250,000","x-skills-required":["Python","Machine Learning","NLP","GenAI","Agentic technologies","Data processing","Experimentation","Exploration","Cloud platforms (AWS, Azure, GCP)","Problem-solving skills","Communication skills"],"x-skills-preferred":["PyTorch","TensorFlow","MLOps practices and tools (SageMaker, MLflow, Airflow)","Agile environment"],"datePosted":"2026-04-18T22:14:27.951Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, NLP, GenAI, Agentic technologies, Data processing, Experimentation, Exploration, Cloud platforms (AWS, Azure, GCP), Problem-solving skills, Communication skills, PyTorch, TensorFlow, MLOps practices and tools (SageMaker, MLflow, Airflow), Agile environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":175000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_82f0539c-3ff"},"title":"Cross Asset Risk Research","description":"<p>The firm is looking for a quantitative researcher to join a new Cross Asset Risk team.</p>\n<p>The goal of the team is to build a unified set of risk data for decision-makers at the firm level to make informed decisions about the firm&#39;s complex set of positions. The team will be coordinating with multiple different asset-class risk teams to build the firm&#39;s high-level view, including building out individual asset-class risk analytics in cases where it is deemed necessary.</p>\n<p>This role involves research into using many different statistical and probabilistic techniques to evolve the firm&#39;s understanding of risk. Key to the role will be understanding the ways in which different market structures impact their individual asset classes, the behavior of large market participants, shared traits of popular trading strategies, and developing probabilistic methodologies to anticipate potential stress scenarios.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and validate cross-asset risk measures.</li>\n<li>Identify market factors across asset classes and identify common risk premia trades.</li>\n<li>Apply feature discovery and classification-style ML to identify and interpret portfolio/trade drivers with careful validation and robustness testing.</li>\n<li>Partner closely with asset class risk teams to test assumptions, interpret results, and drive adoption of the analytics.</li>\n<li>Develop forward-looking scenario models, identifying risks in the firm shared across asset classes.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>1–5 years of hands-on experience in quantitative research, modeling, or applied ML</li>\n<li>Strong foundation in applied mathematics / statistics / machine learning (especially probability theory, linear algebra, calculus, and statistics)</li>\n<li>Demonstrated ability to design, implement, and validate models from scratch (not just apply off-the-shelf packages)</li>\n<li>Python proficiency for research prototyping and analysis</li>\n<li>Experience with deep learning frameworks (For example, PyTorch/TensorFlow)</li>\n<li>Strong research habits: hypothesis formation, experimentation, back testing/validation, and clear communication</li>\n<li>Financial markets experience is helpful but not required</li>\n</ul>\n<p>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_82f0539c-3ff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Unknown","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954949488","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$175,000 to $250,000","x-skills-required":["quantitative research","modeling","applied ML","probability theory","linear algebra","calculus","statistics","Python","deep learning frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:14:07.581Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"quantitative research, modeling, applied ML, probability theory, linear algebra, calculus, statistics, Python, deep learning frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":175000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_df5b7bcd-4f2"},"title":"Workday Specialist - Recruiting","description":"<p>As a Workday Specialist at HR Services, you will support the configuration, maintenance, and optimisation of Workday with Recruiting as the primary accountability.</p>\n<p>This role partners with stakeholders to translate business needs into scalable Workday solutions and drive continuous process improvement.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Configure and maintain Workday Recruiting (Job Application Framework, Recruiting Business Processes, Offer Letters, Recruiting Reports, Requisition Management, and Assessment setup) to ensure efficient candidate management.</li>\n<li>Manage the configuration of Eightfold, our candidate and recruiter-facing AI recruiting solution that integrates directly with Workday.</li>\n<li>Configure and support Workday Advanced Reporting, Learning, and Talent, including calculated fields, complex reports, business processes, condition rules, notifications, and security roles.</li>\n<li>Own end-to-end recruiting-related workflows in Workday and Eightfold, partnering with Talent Acquisition Operations and Recruiters to reconcile results, troubleshoot issues, and ensure compliance with applicable regulations.</li>\n<li>Support and coordinate Workday and Eightfold releases and new feature enablements: review release notes, assess impact, configure updates, and manage testing and sign-off.</li>\n<li>Serve as a Workday subject matter expert and escalation point for stakeholders; provide guidance on best practices and recommend process and configuration improvements.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>5+ years of hands-on Workday experience, with significant configuration and support experience in Workday Recruiting.</li>\n<li>Experience supporting Eightfold or another CRM that integrates with Workday highly preferred.</li>\n<li>Experience in the financial services industry is a strong plus.</li>\n</ul>\n<p><strong>Technical Skills</strong></p>\n<ul>\n<li>Strong Workday Recruiting configuration skills (Job Application Framework, Recruiting Business Processes, Offer Letters, Recruiting Reports, Requisition Management, and Assessment setup).</li>\n<li>Experience configuring and supporting Workday Recruiting and at least two of: Recruiting, Learning and Talent.</li>\n<li>Proven experience with business processes, security groups, calculated fields, and advanced/custom reports.</li>\n<li>Experience with EIBs and vendor integrations (especially payroll and benefits related) strongly preferred.</li>\n</ul>\n<p><strong>Soft Skills</strong></p>\n<ul>\n<li>Strong analytical and problem-solving skills; high attention to detail and data quality.</li>\n<li>Excellent communication skills, with the ability to explain complex Workday configuration and recruiting processes to non-technical stakeholders.</li>\n<li>Ability to manage multiple priorities, meet deadlines, and work collaboratively in a fast-paced environment.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Workday Pro certification or relevant Workday Recruiting training.</li>\n<li>Prior experience in a financial services organisation using Workday.</li>\n<li>Participation in at least one Workday implementation or major enhancement project involving Recruiting.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_df5b7bcd-4f2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"HR Services","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955481551","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Workday Recruiting","Eightfold","Workday Advanced Reporting","Learning","Talent","Business processes","Security groups","Calculated fields","Advanced/custom reports","EIBs","Vendor integrations"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:14:02.696Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Finance","skills":"Workday Recruiting, Eightfold, Workday Advanced Reporting, Learning, Talent, Business processes, Security groups, Calculated fields, Advanced/custom reports, EIBs, Vendor integrations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2aa29c41-6f4"},"title":"Intern Sales & Account Management Bodensee (w/m/d)","description":"<p>Join our dynamic and successful team in Friedrichshafen and be part of our exciting journey. As an intern in sales and account management, you will identify opportunities to expand and optimize our holiday home portfolio. You will work with the team to develop strategies that increase the performance of our holiday homes. You will support various campaigns, such as re-publishing listings, and contribute to important projects that drive revenue and success.</p>\n<p>We are looking for students or recent graduates in tourism, business, or a related field who have a strong learning ability, a proactive attitude, and interest in analytical thinking. You should have near-native German and fluent English skills, both in writing and speaking. No prior experience is required.</p>\n<p>As an intern at Holidu, you will have the opportunity to work with the latest technologies, grow with responsibility from day one, and develop yourself through regular feedback, workshops, and knowledge exchange. You will benefit from flat hierarchies, responsibility, and freedom to implement your own ideas. You will also have the chance to network and have fun with international and diverse people at work and during regular events.</p>\n<p>If you are interested in joining our team, please apply online on our career page. Your first point of contact will be Sabrina from HR.</p>\n<p>We are committed to diversity in all areas of our company and welcome applications from all genders, cultures, and backgrounds. You can submit your application without a photo and without stating your gender, date of birth, marital status, nationality, or disability status (if applicable). If you require special assistance during the interview process, please contact the HR representative responsible for this position.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2aa29c41-6f4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2604857","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"Internship","x-salary-range":null,"x-skills-required":["German","English","Analytical thinking","Learning ability","Proactive attitude"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:14:00.346Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Friedrichshafen, Germany"}},"employmentType":"INTERN","occupationalCategory":"Sales","industry":"Technology","skills":"German, English, Analytical thinking, Learning ability, Proactive attitude"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c70414d-4e6"},"title":"Full‑Stack data engineer","description":"<p>We are seeking a highly self-sufficient, motivated engineer with strong full-stack data engineering skills to join our team. This is a remote/offshore role that requires autonomy, excellent communication, and the ability to deliver high-quality work with limited supervision while collaborating with a predominantly US-based team.</p>\n<p>You will build reliable, scalable data products and user experiences that power AI/ML modeling, agentic workflows, and reporting,working end-to-end from data ingestion and transformation through to UI. Our Python-based data platform is undergoing a major evolution toward a modern, cloud-native ELT architecture. We are standardizing on Snowflake as our central data platform and dbt as our core transformation framework, implementing scalable, maintainable ELT practices that simplify ingestion, modeling, and deployment.</p>\n<p>This role will be pivotal in independently designing and building robust data pipelines and semantic layers that directly power our AI and machine learning initiatives,delivering clean, reliable, and well-modeled data assets to our data science team for feature engineering, model training, and production inference. You will collaborate closely (primarily via remote channels) with data scientists and ML engineers to ensure our data ecosystem is optimized for experimentation speed, model performance, and seamless integration into downstream products and services.</p>\n<p>Key Responsibilities</p>\n<ul>\n<li>Remote collaboration &amp; communication: Operate effectively as an offshore member of a distributed team, proactively communicating status, risks, and blockers across time zones and coordinating overlap with US working hours as needed.</li>\n</ul>\n<ul>\n<li>Full-stack data engineering: Build across the entire stack, including data ingestion/acquisition and transformation, APIs, front-end components, and automated test suites, delivering production-grade solutions with minimal hand-holding.</li>\n</ul>\n<ul>\n<li>Autonomous delivery &amp; ownership: Take end-to-end ownership of features and projects,clarifying requirements, breaking work into milestones, estimating timelines, and delivering high-quality, well-documented solutions.</li>\n</ul>\n<ul>\n<li>Specification and design: Translate short- and long-term business requirements, architectural considerations, and competing timelines into clear, actionable technical specifications and design documents.</li>\n</ul>\n<ul>\n<li>Code quality: Write clean, maintainable, efficient code that adheres to evolving standards and quality processes, including unit tests and isolated integration tests in containerized environments.</li>\n</ul>\n<ul>\n<li>Continuous improvement: Contribute to agile practices and provide input on technical strategy, architectural decisions, and process improvements, continuously suggesting better tools, patterns, and automation.</li>\n</ul>\n<p>Required Skills &amp; Experience</p>\n<ul>\n<li>Professional experience: 5+ years in software engineering, with a full-stack background building complex, scalable data-engineering pipelines using data warehouse technology, SQL with dbt, Python, AWS with Terraform, and modern UI technologies.</li>\n</ul>\n<ul>\n<li>Modern data engineering: Strong experience with medallion data architecture patterns using data warehouse technologies (e.g., Snowflake), data transformation tooling (e.g., dbt), BI tooling, and NoSQL data marts (e.g., Elasticsearch/OpenSearch).</li>\n</ul>\n<ul>\n<li>Testing and QA: Solid understanding of unit testing, CI/CD automation, and quality assurance processes for both data pipeline testing and operational data quality tests.</li>\n</ul>\n<ul>\n<li>Remote work &amp; autonomy: Proven track record working in a remote or distributed environment, demonstrating self-motivation, reliable execution, and the ability to make sound technical decisions independently.</li>\n</ul>\n<ul>\n<li>Agile methodology: Working knowledge of Agile development practices and workflows (e.g., sprint planning, stand-ups, retrospectives) in a distributed team setting.</li>\n</ul>\n<ul>\n<li>Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.</li>\n</ul>\n<p>Preferred Skills &amp; Experience</p>\n<ul>\n<li>Machine learning and AI: Hands-on experience with large language models (LLMs) and agentic frameworks/workflows.</li>\n</ul>\n<ul>\n<li>Search and analytics: Familiarity with the ELK stack (Elasticsearch, Logstash, Kibana) for search and analytics solutions.</li>\n</ul>\n<ul>\n<li>Cloud expertise: Experience with AWS cloud services; familiarity with SageMaker; and CI/CD tooling such as GitHub Actions or Jenkins.</li>\n</ul>\n<ul>\n<li>Front-end expertise: Experience building user interfaces with Angular or a modern UI stack.</li>\n</ul>\n<ul>\n<li>Financial domain knowledge: Broad understanding of equities, fixed income, derivatives, futures, FX, and other financial instruments.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5c70414d-4e6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"FIC & Risk Technology","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955321460","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Snowflake","dbt","AWS","Terraform","modern UI technologies","data warehouse technology","SQL","unit testing","CI/CD automation","quality assurance processes"],"x-skills-preferred":["machine learning","AI","large language models","agentic frameworks","ELK stack","search and analytics solutions","cloud expertise","AWS cloud services","SageMaker","CI/CD tooling","front-end expertise","Angular","financial domain knowledge"],"datePosted":"2026-04-18T22:13:54.584Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Snowflake, dbt, AWS, Terraform, modern UI technologies, data warehouse technology, SQL, unit testing, CI/CD automation, quality assurance processes, machine learning, AI, large language models, agentic frameworks, ELK stack, search and analytics solutions, cloud expertise, AWS cloud services, SageMaker, CI/CD tooling, front-end expertise, Angular, financial domain knowledge"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_efd22dd7-ca8"},"title":"Forecasting Director - US Oncology","description":"<p>At AstraZeneca, we&#39;re not afraid to do things differently. We&#39;re resetting expectations of what a bio-pharmaceutical company can be. This means we&#39;re opening up new ways to work, groundbreaking and cutting-edge methods, and bringing unexpected teams together.</p>\n<p>The Forecasting Director, Oncology leads the US forecasting process for Gynecology+ Genitourinary indications and the LYNPARZA brand in the Oncology portfolio. As a thought partner to the business, the Forecasting Director will develop product-specific short-term and long-term forecasts and provide critical insights into market risks &amp; opportunities that may impact performance to ultimately guide commercial strategy and decision-making.</p>\n<p>Strong analytical and critical thinking skills are essential to developing rigorous forecasts using patient-flow / patient-based models and incorporating new AI capabilities. The Forecasting Director seamlessly collaborates with Insights and Analytics colleagues to deliver fact-driven, actionable insights to the business.</p>\n<p>In addition, the Forecasting Director will closely partner with Marketing, Sales, Market Access, Sales Operations, Global Analytics &amp; Insights, Supply Planning, and Finance to ensure alignment on forecast assumptions and narrative. The Forecasting Director regularly presents to senior leaders the forecast and performance story.</p>\n<p>Key abilities include consultative and influencing skills, quantitative technical skills, and proficiency in interpreting primary market research / secondary data analyses. The Forecasting Director&#39;s deep expertise in forecasting enables them to solve complex technical challenges efficiently and effectively, anticipate upcoming forecast questions, and identify innovative solutions, including AI, that benefit the entire portfolio.</p>\n<p>Beyond brand-level contribution, the Forecasting Director plays an integral role as a leader within the US Oncology Forecasting &amp; Performance CoE (Center of Excellence), helping to deliver cross-brand forecasting alignment, efficiencies, best practices, and capability builds. In addition, the Forecasting Director will help to coach and train a forecasting &amp; performance talent pipeline.</p>\n<p>This role reports to the Integrated Insights Senior Director for the Tumor Franchise and sits within US Integrated Insights - Oncology Business Excellence organization, an inclusive team that partners with the US Oncology commercial organization to drive strategic decisions by providing objective, data-driven insight generation and analytics.</p>\n<p>Roles &amp; Responsibilities:</p>\n<ul>\n<li>Lead the US forecasting and business planning processes and all associated work streams for covered brand / indications (scenario planning, integration with Finance, etc.)</li>\n</ul>\n<ul>\n<li>Develop, build, and maintain up-to-date product-specific short-term and long-term forecasts models, synthesizing an integrated picture with information across multiple sources; as required, manage external agency executing the model build/update</li>\n</ul>\n<ul>\n<li>Proactively and clearly identify key drivers that impact short-term and long-range product and market forecasts, highlighting significant risks and opportunities</li>\n</ul>\n<ul>\n<li>Incorporate AI analytical tools into the forecast process and drive continuing enhancements of the AI forecasting platform</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with key commercial leaders, Business Excellence colleagues, and other forecast stakeholders to align on objective, data-driven forecast inputs</li>\n</ul>\n<ul>\n<li>Provide in-depth analyses of underlying drivers of brand performance in support of key business deliverables and milestones (e.g. Quarterly Business Reviews)</li>\n</ul>\n<ul>\n<li>Monitor external environment to stay up to date on the competitive landscape and latest market developments for covered brand/indications as well as broader Oncology trends</li>\n</ul>\n<ul>\n<li>Consult on primary research and secondary analytics relevant to forecasting, and incorporate results into modeling to add deep customer insight and assess future events</li>\n</ul>\n<ul>\n<li>Deliver insightful, objective presentations to senior leaders (e.g., SVP US Commercial Oncology, VP of US Franchise) that clearly and succinctly highlight critical insights and business implications through strong storytelling</li>\n</ul>\n<ul>\n<li>Collaborate with senior US leaders on performance narrative for C-level audience</li>\n</ul>\n<ul>\n<li>Maintain effective relationships with contractors and other third-party vendors through oversight of the vendor management process</li>\n</ul>\n<ul>\n<li>Direct and help prioritize work of Forecasting &amp; Performance Associate Directors, Sr. Managers, and Sr. Analysts</li>\n</ul>\n<ul>\n<li>Work with US Oncology Forecasting Center of Excellence Senior Director to build forecasting capabilities and identify and drive cross-brand forecasting process efficiencies, automation, and innovation (including AI capabilities)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_efd22dd7-ca8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"LYNPARZA Insights & Analytics","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689799584","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$194,500-$291,800","x-skills-required":["forecasting","data analytics","AI","machine learning","data science","statistics","mathematics","business planning","commercial strategy","market research","competitive intelligence"],"x-skills-preferred":["advanced analytics","primary market research","epidemiological data analysis","SEER data analysis","Kantar data analysis","DRG data analysis"],"datePosted":"2026-04-18T22:13:51.273Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gaithersburg, Maryland, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"forecasting, data analytics, AI, machine learning, data science, statistics, mathematics, business planning, commercial strategy, market research, competitive intelligence, advanced analytics, primary market research, epidemiological data analysis, SEER data analysis, Kantar data analysis, DRG data analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":194500,"maxValue":291800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_32932504-2b5"},"title":"Systematic Production Support Engineer","description":"<p>We are looking for an experienced professional to help us scale our systematic operations and support engineering capabilities.</p>\n<p>This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.</p>\n<p>This is a unique opportunity to drive significant value creation for one of the world&#39;s leading investment managers.</p>\n<p>Principal Responsibilities:</p>\n<ul>\n<li>Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.</li>\n<li>Work with portfolio managers and other internal customers to reduce operational risk through:</li>\n<li>Implementation of monitoring, reporting, and trade workflow solutions.</li>\n<li>Implementation of automated systems and processes focused on trading and operations.</li>\n<li>Streamlining development and deployment processes.</li>\n<li>Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.</li>\n</ul>\n<p>Technical Qualification:</p>\n<ul>\n<li>5+ years of development experience in Python.</li>\n<li>Experience working in a Linux / Unix environment.</li>\n<li>Experience working with PostgreSQL or other relational databases.</li>\n<li>Ability to understand and discuss requirements from portfolio managers.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Understanding of NLP, supervised/non-supervised learning and Generative AI models.</li>\n<li>Experience operating and monitoring low-latency trading environments.</li>\n<li>Familiarity with quantitative finance and electronic trading concepts.</li>\n<li>Familiarity with financial data.</li>\n<li>Broad understanding of equities, futures, FX, or other financial instruments.</li>\n<li>Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.</li>\n<li>Experience with Apache / Confluent Kafka.</li>\n<li>Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).</li>\n<li>Experience with containerization and orchestration technologies.</li>\n<li>Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.</li>\n<li>Contributions to open-source projects.</li>\n</ul>\n<p>The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&#39;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_32932504-2b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Equity IT","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954627501","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$100,000 to $175,000","x-skills-required":["Python","Linux / Unix","PostgreSQL","NLP","supervised/non-supervised learning","Generative AI models"],"x-skills-preferred":["Apache / Confluent Kafka","C/C++","Java","Scala","Go","C#","containerization","orchestration technologies","AWS","GCP","Azure"],"datePosted":"2026-04-18T22:13:42.254Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America · Old Greenwich, Connecticut, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Linux / Unix, PostgreSQL, NLP, supervised/non-supervised learning, Generative AI models, Apache / Confluent Kafka, C/C++, Java, Scala, Go, C#, containerization, orchestration technologies, AWS, GCP, Azure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100000,"maxValue":175000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_29d3ff16-9c8"},"title":"Employee Experience and Engagement (Learning & Development) Manager","description":"<p>We are seeking a motivated and detail-orientated individual to join our Employee Experience and Engagement team (Learning &amp; Development) within the Human Resources department of Millennium.</p>\n<p>This role is ideal for someone with deep experience in learning and development, program management or a related field who is passionate about driving employee growth and development in a fast-paced environment.</p>\n<p>As an Employee Experience and Engagement Manager at Millennium, your main responsibility is to play a key role in managing the delivery of impactful learning programs to support the development of our workforce and meet the needs of employees at all levels.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>Regional Program Management</strong></p>\n<ul>\n<li>Manage the end to end delivery of regional offerings, including planning, scheduling, logistics and evaluation for the region</li>\n<li>Coordinate with internal stakeholders and external vendors to ensure smooth execution of training initiatives working closely with the local coordinator</li>\n<li>Track program metrics and outcomes to measure effectiveness, impact and identify areas for improvement.</li>\n<li>Maintain detailed project plans, timelines and budgets for learning initiatives</li>\n</ul>\n<p><strong>Facilitation and Design</strong></p>\n<ul>\n<li>Experienced and highly competent at hosting and facilitating regional sessions. This includes briefing speakers, hosting a program and being able to facilitate and conduct learning workshops for large groups</li>\n<li>Proficiency in designing workshops</li>\n<li>Able to localize and maintain learning content and materials to ensure relevance for the region while maintaining global standards</li>\n</ul>\n<p><strong>Stakeholder Collaboration</strong></p>\n<ul>\n<li>Build strong relationships with internal teams to ensure alignment between learning initiatives and business goals</li>\n<li>Act as a point of contact for employees seeking guidance on learning opportunities and career development</li>\n<li>Support and advise department leaders within the region where applicable</li>\n</ul>\n<p><strong>Measurement and Analysis</strong></p>\n<ul>\n<li>Utilize our Learning Management Systems (LMS) to manage course registrations, track attendance and report on program outcomes</li>\n<li>Leverage data and analytics to assess the impact of learning programs and recommend improvements.</li>\n<li>Support the team on general administrative tasks</li>\n</ul>\n<p><strong>Qualifications/Skills Required</strong></p>\n<ul>\n<li>Bachelor’s degree with 7+ years of experience in learning and development, program management or a related field of experience</li>\n<li>Self-directed, solution orientated and organized problem solver with a desire to contribute to Millennium’s reputation and success</li>\n<li>Outstanding oral and written communication skills, stakeholder management, with poise and confidence to interact with individuals of all levels</li>\n<li>Strong program management skills including the ability to manage multiple projects simultaneously and meet deadlines</li>\n<li>Strong communication and interpersonal skills working collaboratively across a global team of colleagues</li>\n</ul>\n<p>Millennium is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_29d3ff16-9c8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"HR Strategy","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955075216","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 to $250,000","x-skills-required":["Bachelor’s degree","7+ years of experience in learning and development, program management or a related field of experience","Self-directed, solution orientated and organized problem solver","Outstanding oral and written communication skills, stakeholder management","Strong program management skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:28.993Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Finance","skills":"Bachelor’s degree, 7+ years of experience in learning and development, program management or a related field of experience, Self-directed, solution orientated and organized problem solver, Outstanding oral and written communication skills, stakeholder management, Strong program management skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f0fac7b-49f"},"title":"Head of Talent Management","description":"<p>We are looking for a Head of Talent Management to shape and deliver Tony&#39;s global, end-to-end Talent agenda. In this role, you will be responsible for driving the Talent Management, Learning &amp; Development, Diversity, Equity &amp; Inclusion, and Talent Acquisition agenda across our international footprint.</p>\n<p>You will lead and develop a Talent team consisting of a Talent Acquisition Manager and an L&amp;D Specialist. You will work in close partnership with the Chief People &amp; Culture, the People &amp; Culture Leads team, People Partners, Chiefs, and Country Managers to drive continuous improvement, transformation, and operational excellence across all Talent domains.</p>\n<p>Strong stakeholder management, a strategic mindset, and the ability to translate vision into action will be key to success in this role. The position sits within the People &amp; Culture team and plays a critical role in building a future-ready organization that lives and breathes Tony&#39;s mission.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Shape Tony&#39;s global Talent strategy: Co-create and drive our end-to-end Talent strategy in close partnership with the Chief People &amp; Culture and senior leaders, ensuring strong alignment with Tony&#39;s business priorities and long-term ambitions.</li>\n<li>Lead Talent transformation: Own and manage the global Talent budget, lead cross-company talent projects, and drive continuous improvement, transformation, and process optimization across the People &amp; Culture landscape.</li>\n<li>Build future-ready talent: Design and deliver Tony&#39;s full Talent Management approach, including the Growth Cycle, Talent Forums, succession planning, retention, and career development,creating consistent yet flexible frameworks that work globally and locally.</li>\n<li>Develop inspiring leaders: Set and execute the leadership development strategy, designing scalable programs that embed Tony&#39;s values, leadership principles, and DEI ambitions while supporting leadership growth and transitions at all levels.</li>\n<li>Design impactful learning journeys: Shape and deliver Tony&#39;s global Learning &amp; Development strategy, build scalable learning solutions, oversee our LMS, and co-create onboarding and team development programs that enable individual growth and high-performing teams.</li>\n<li>Own global Talent Acquisition: Lead the global Talent Acquisition strategy and end-to-end processes, including hiring, employer branding, early careers, contractor management, and talent technologies,ensuring inclusive, efficient, and values-aligned practices.</li>\n<li>Champion Diversity, Equity &amp; Inclusion: Drive Tony&#39;s DE&amp;I agenda across all talent areas, embedding equity and inclusion into hiring, learning, leadership, and talent processes, while partnering closely with senior stakeholders on long-term cultural change.</li>\n<li>Lead and grow the team: Lead, develop, and inspire a high-impact team, fostering a culture of ownership, learning, collaboration, and continuous improvement.</li>\n<li>Be a trusted thought partner: Act as a strategic advisor to Chiefs, People Partners, and Country Leadership teams, and lead Talent and P&amp;C forums using strong data, insights, and storytelling to support decision-making across Tony&#39;s.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of experience across HR disciplines (Talent Management, Talent Acquisition, Learning &amp; Development, HR Business Partnering), ideally in scaling, international organizations.</li>\n<li>Proven people management experience, leading and developing teams with clarity, care, and ambition,aligning team delivery with broader business and people strategy.</li>\n<li>Strong project and change management expertise, with a track record of leading transformation initiatives and process optimization that deliver sustainable impact.</li>\n<li>Deep expertise in leadership development and talent practices, including growth cycles, learning journeys, talent forums, and succession planning.</li>\n<li>Experienced in global ways of working, collaborating across countries and cultures while balancing global frameworks with strong local execution.</li>\n<li>Strategic and systems thinker who sees the bigger organizational picture and understands how talent, culture, and business performance are deeply interconnected.</li>\n<li>Combination of strategic leadership with strong execution power.</li>\n<li>Trusted partner to senior leaders, People Partners, and cross-functional stakeholders, building credibility through strong stakeholder management.</li>\n<li>Strong facilitation and coaching skills, creating engaging and inclusive environments for learning, reflection, and change.</li>\n<li>Excellent stakeholder management, collaboration, and communication skills in English.</li>\n<li>Ability to make complex ideas accessible and tailor your message to different audiences and contexts.</li>\n<li>Flexibility to work in a hybrid environment, with a minimum of 3 days per week in the Amsterdam office.</li>\n<li>Belief in Tony&#39;s purpose and values: outspoken, in it together, entrepreneurial, raise the bar, and makes you smile.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Opportunity to be part of something extraordinary by making real impact in the world.</li>\n<li>Training programs, regular feedback cycles, coaching, and a generous L&amp;D budget.</li>\n<li>Luxurious vega-lunch, company bonus, minimum of 28 holidays, inspirational team updates, unforgettable events, and unlimited chocolate.</li>\n<li>Salary between 90k-112k on a yearly basis, including holiday pay.</li>\n</ul>\n<p>If you&#39;re ready to take the chocolate industry to new heights with us, we&#39;d love to hear from you! Please send your direct application, no agencies.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6f0fac7b-49f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Tony's Chocolonely","sameAs":"https://jobs.tonyschocolonely.com","logo":"https://logos.yubhub.co/jobs.tonyschocolonely.com.png"},"x-apply-url":"https://jobs.tonyschocolonely.com/o/head-of-talent-management","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"EUR 90000–112000 / year","x-skills-required":["Talent Management","Learning & Development","Diversity, Equity & Inclusion","Talent Acquisition","Leadership Development","Strategic Planning","Change Management","Project Management","Global Ways of Working","Stakeholder Management","Facilitation","Coaching","Communication"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:14.773Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Food and Beverage","skills":"Talent Management, Learning & Development, Diversity, Equity & Inclusion, Talent Acquisition, Leadership Development, Strategic Planning, Change Management, Project Management, Global Ways of Working, Stakeholder Management, Facilitation, Coaching, Communication","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":90000,"maxValue":112000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5dfa9c86-5c0"},"title":"Director, US Forecasting & Analytics– Vaccines & Immune Therapies","description":"<p>Director, US Forecasting &amp; Analytics – Vaccines &amp; Immune Therapies Global Insights, Analytics &amp; Forecasting, BBU Hybrid Work- on average 3 days a week from office</p>\n<p>The Director, US Forecasting &amp; Analytics – Vaccines &amp; Immune Therapies is a senior commercial insights leader responsible for US demand forecasting and analytics across the V&amp;I portfolio. The role is predominantly forecast-focused, serving as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams.</p>\n<p>Responsibilities:</p>\n<p>US Forecasting Leadership (Core Accountability)</p>\n<ul>\n<li>Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&amp;I assets using robust, patient-based and market-based models</li>\n<li>Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards</li>\n<li>Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models</li>\n<li>Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses</li>\n<li>Partner closely with Finance, Market Access &amp; Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications</li>\n<li>Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives</li>\n<li>Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes</li>\n</ul>\n<p>Analytics &amp; Resource Leadership (Enablement)</p>\n<ul>\n<li>Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into forecasting and business planning</li>\n<li>Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables</li>\n<li>Partner with data analytics resources, Global IA&amp;F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches</li>\n<li>Champion and identify new ways to embed AI and advanced automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality</li>\n<li>Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation</li>\n<li>Contribute to the development and sharing of best practices across the V&amp;I forecasting community</li>\n</ul>\n<p>Essential for the role</p>\n<ul>\n<li>Bachelor’s degree in a quantitative, scientific, or business-related field required (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science).</li>\n<li>8+ years’ experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets</li>\n<li>Hands-on model ownership experience (build, refresh, and performance tracking) across short- and long-term horizons</li>\n<li>Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision-making</li>\n<li>Strong capability integrating multiple data types (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision-grade forecasts</li>\n<li>Working knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) and where they add value vs. traditional methods</li>\n<li>Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner effectively with data engineering and analytics teams</li>\n<li>Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)</li>\n<li>Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)</li>\n<li>Exceptional communication: translates complex analysis into clear, executive-ready insights, options, and recommendations</li>\n<li>Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)</li>\n</ul>\n<p>Desirable for the role</p>\n<ul>\n<li>Advanced degree preferred (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related discipline).</li>\n<li>Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated therapies</li>\n<li>Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders</li>\n<li>Product mindset for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities</li>\n<li>Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts</li>\n</ul>\n<p>Office Working Requirements</p>\n<p>When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p>\n<p>#LI-Hybrid</p>\n<p>Date Posted 10-Apr-2026 Closing Date 23-Apr-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5dfa9c86-5c0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Global Insights, Analytics & Forecasting - V&I","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689756206","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["forecasting","analytics","model ownership","scenario-based forecasting","sensitivity analysis","driver-based narratives","advanced analytics","machine learning","Python","R","SQL","BI/visualization","data engineering","forecast governance","model risk discipline","US market access","payer dynamics","exceptional communication","commercial competence"],"x-skills-preferred":["vaccines","rare disease","change leadership","product mindset","model lifecycle practices","MLOps"],"datePosted":"2026-04-18T22:13:06.502Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilmington, Delaware, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Healthcare","skills":"forecasting, analytics, model ownership, scenario-based forecasting, sensitivity analysis, driver-based narratives, advanced analytics, machine learning, Python, R, SQL, BI/visualization, data engineering, forecast governance, model risk discipline, US market access, payer dynamics, exceptional communication, commercial competence, vaccines, rare disease, change leadership, product mindset, model lifecycle practices, MLOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf6d98aa-97b"},"title":"Clinical Study Administrator - Contracts and Budgets","description":"<p><strong>Job Description</strong></p>\n<p>We are seeking a Clinical Study Administrator - Contracts and Budgets to join our team at US SM&amp;M. As a Clinical Study Administrator, you will be responsible for the coordination and administration of clinical studies from start-up through execution and close-out. You will act as the main local administrative contact and work closely with CRAs and/or LSAD for the duration of assigned studies.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Coordinate administrative tasks during the study process, audits and regulatory inspections in line with company policies and SOPs.</li>\n<li>Support the collection, preparation, review and tracking of documents required for the application process.</li>\n<li>Support the Study Start-up team with timely submissions to Ethics Committees/Institutional Review Boards (EC/IRB) and, where applicable, Regulatory Authorities.</li>\n<li>Take operational responsibility for correct set-up and ongoing maintenance of the local electronic Trial Master File (eTMF) and Investigator Study File (ISF), ensuring document tracking in accordance with ICH-GCP and local requirements to maintain inspection readiness.</li>\n<li>Ensure all study documents are prepared for final archiving and support CRAs with ISF close-out activities.</li>\n<li>Contribute to the production and maintenance of study documents, ensuring compliance with required templates and versions.</li>\n<li>Manage clinical-regulatory documents in the Global Regulatory management system, as required.</li>\n<li>Manage clinical-regulatory documents for electronic applications and submissions, complying with Submission Ready Standards (SRS) to support efficient publishing and delivery to regulatory authorities, where applicable.</li>\n<li>Serve as primary point of contact for legal negotiations related to confidentiality agreements and amendments.</li>\n<li>Process study-level and site-level amendments.</li>\n<li>Prepare and/or support site-level contract preparation, except where a specific local role is assigned.</li>\n<li>Prepare, support and perform payments to Health Care Organisations (HCO) and Health Care Professionals (HCP) in accordance with local regulations.</li>\n<li>Set up, populate and accurately maintain information in AstraZeneca tracking and communication tools (e.g. Clinical Trial Management System [CTMS]) and support others in the use of these systems, except in countries with a designated system administrator.</li>\n<li>Manage and contribute to the coordination and tracking of study materials and equipment.</li>\n<li>Interface with Data Management Centres and/or Global Clinical Solution representatives to support delivery of study-related documents and materials.</li>\n<li>Interface with investigators, external service providers and Clinical Research Associates (CRAs) to facilitate effective document collection and study delivery.</li>\n<li>Lead practical arrangements for internal and external meetings (e.g. study team meetings, monitors&#39; meetings, investigators&#39; meetings), liaising with internal and external participants and vendors in line with applicable international and local codes.</li>\n<li>Prepare, contribute to and distribute material for meetings, newsletters and web content, in alignment with LST and global stakeholders.</li>\n<li>Perform document layout and language checks, as well as copying and distribution.</li>\n<li>Provide support for local translation and English language checks, as required.</li>\n<li>Handle printing and distribution of documents (e.g. letters, meeting minutes) and manage and archive study- and country-related emails.</li>\n<li>Ensure compliance with AstraZeneca&#39;s Code of Ethics, policies and procedures, including those related to people, finance, technology, security and Safety, Health and Environment (SHE).</li>\n<li>Adhere to all relevant local, national and regional legislation.</li>\n<li>Carry out additional country-specific tasks in accordance with local organisational needs, when assigned.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s degree aligned to the knowledge and skills required for the role.</li>\n<li>0+ years of experience required.</li>\n<li>Relevant knowledge of the drug development process, international guidelines (ICH-GCP) and applicable country regulations.</li>\n<li>Personal effectiveness and strong self-accountability.</li>\n<li>Learning agility.</li>\n<li>Financial, technology and process competency.</li>\n<li>Active listening and fluency in written and spoken business-level English.</li>\n<li>High integrity and ethical standards.</li>\n<li>Ability to work effectively as part of a team in both in-person and virtual settings; demonstrates cultural awareness.</li>\n<li>Ability to identify and champion more efficient delivery of quality clinical trials with optimised cost and time.</li>\n<li>Ability to travel nationally and internationally, as required.</li>\n<li>Valid driving licence, if required by country of employment.</li>\n<li>Strong communication and teamwork skills, including collaboration, business partnering and impactful site conversations.</li>\n<li>Effective, risk-based thinking, including planning and alignment, problem solving, critical thinking and decision making.</li>\n<li>Clinical study operations (GCP) and quality management, including Good Documentation Practice (GDP).</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are interested in this opportunity, please submit your application through our website.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cf6d98aa-97b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"US SM&M","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689867786","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Clinical study operations (GCP)","Quality management","Good Documentation Practice (GDP)","Personal effectiveness","Self-accountability","Learning agility","Financial competence","Technology competence","Process competence","Active listening","Business-level English","High integrity","Ethical standards","Cultural awareness","Risk-based thinking","Planning and alignment","Problem solving","Critical thinking","Decision making"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:12:29.538Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilmington, Delaware, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Healthcare","skills":"Clinical study operations (GCP), Quality management, Good Documentation Practice (GDP), Personal effectiveness, Self-accountability, Learning agility, Financial competence, Technology competence, Process competence, Active listening, Business-level English, High integrity, Ethical standards, Cultural awareness, Risk-based thinking, Planning and alignment, Problem solving, Critical thinking, Decision making"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1fd320d-f1d"},"title":"Learning and Development Manager 2, US Radiology","description":"<p>At Bayer, we&#39;re seeking a Learning and Development Manager 2 to oversee the development and deployment of learning strategies, content, and application tools for new hires and tenured customer-facing representatives across North America.</p>\n<p>The successful candidate will be responsible for developing and delivering a comprehensive strategic training plan and learning journey for Customer Squads overall and individually, according to role and customer need. They will design, facilitate, and measure knowledge and will be accountable for the results of the training plan.</p>\n<p>Key responsibilities include operating in a lead capacity, mentoring, and coaching other members of the organization, developing and delivering comprehensive strategic training plans, and driving the continued deployment and consistent application of the Competency Model to relevant stakeholders within the Customer Squads.</p>\n<p>The ideal candidate will possess a Bachelor&#39;s Degree in business, marketing, or a relevant discipline, with applicable adult learning/sales training experience. They should have demonstrated knowledge of Bayer&#39;s Radiology business, strong coaching skills, and the ability to work under pressure to meet short timeframes.</p>\n<p>Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The salary range for this position is between $125,000 to $187,500.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1fd320d-f1d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976960897","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000 - $187,500","x-skills-required":["adult learning principles","blended learning approach","instructional design","development and delivery of training","coaching and mentoring","project management","customer relationship management","strong leadershipskills","financial competencies","business acumen"],"x-skills-preferred":["8+ years of sales, strategic account management or customer relationship management skills","strong understanding of Bayer's Strategic Account Management competency model"],"datePosted":"2026-04-18T22:12:24.887Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"adult learning principles, blended learning approach, instructional design, development and delivery of training, coaching and mentoring, project management, customer relationship management, strong leadershipskills, financial competencies, business acumen, 8+ years of sales, strategic account management or customer relationship management skills, strong understanding of Bayer's Strategic Account Management competency model","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":187500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_445f055d-c72"},"title":"Senior Genome Editing Target Design Scientist","description":"<p>At Bayer, we&#39;re driven to solve the world&#39;s toughest challenges and strive for a world where &#39;Health for all Hunger for none&#39; is no longer a dream, but a real possibility. Our mission is to sustainably enhance agricultural productivity by seamlessly integrating gene editing and digital technologies, empowering farmers to meet the world&#39;s growing food demands while safeguarding the environment.</p>\n<p>In this role, you will drive an impactful gene editing program by identifying gene editing targets and alleles that result in desired phenotypic impact, working with a diverse set of data inputs to develop genotype-to-phenotype predictions using some of the industry&#39;s most extensive and global agriculture and genetic datasets.</p>\n<p>As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while modeling best practices for others and partnering closely with cross-functional scientific, engineering, and IT teams across the company.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies</li>\n<li>Develop and apply state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging diverse genomic and phenotypic datasets</li>\n<li>Develop robust workflows and analysis pipelines that enable cross-team communication, data sharing, and decision-making, supporting iterative learning from key experiments to shape research direction</li>\n<li>Identify and refine methods for capturing complex genetic interactions and the influence of genetic variation on observed phenotypes to improve design and prediction for current and future gene editing pipelines</li>\n<li>Lead or assist in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&amp;D) teams</li>\n<li>Collaborate closely with cross-functional and cross-cultural scientific, engineering, and IT partners to align gene editing and data science approaches with pipeline and business needs</li>\n<li>Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD in Biological Sciences, Computational Biology, or a related field</li>\n<li>At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields</li>\n<li>Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses</li>\n<li>Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry</li>\n<li>Distinct communication skills with fluency in English, both written and verbal</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Educational preparation or applied experience in at least one of the following areas: Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other closely related discipline</li>\n<li>Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals</li>\n<li>Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges</li>\n<li>Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_445f055d-c72","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer Crop Science","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976820203","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$111,520.00 - $167,280.00","x-skills-required":["genetic discovery tools","gene editing","functional genomics","phenomics","computational biology","molecular biology","genetics","biochemistry","data analysis","data visualization"],"x-skills-preferred":["plant biology","machine learning","deep learning"],"datePosted":"2026-04-18T22:11:48.689Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chesterfield"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"genetic discovery tools, gene editing, functional genomics, phenomics, computational biology, molecular biology, genetics, biochemistry, data analysis, data visualization, plant biology, machine learning, deep learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":111520,"maxValue":167280,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e8aabc91-c80"},"title":"Assistant Manager of Data Analytics","description":"<p>We are seeking an experienced professional to join our team in Shanghai. As Assistant Manager of Data Analytics, you will focus on using data and analytics to drive business activities and outcomes that improve or transform customer strategy, customer segmentation, predictive models, and marketing campaigns.</p>\n<p>Principal Responsibilities: The role holder will conduct customer strategy analysis focusing on acquisition, activation, retention, conversion, and LTV, and deliver actionable insights. Build and maintain customer segmentation frameworks to support targeted and personalized marketing and operations. Leverage advanced data analytics tools and methodologies to develop, validate, and optimize predictive models, contributing to generate high-quality leads. Analyze customer journey, conversion funnels, and drop-off points to identify bottlenecks and recommend experience improvements. Evaluate the performance of marketing campaigns, membership programs, loyalty initiatives, and promotional strategies by measuring ROI, conversion rate, and engagement metrics. Partner with product, marketing, operations, and customer teams to translate data insights into executable strategies and drive business decisions. Support the business team&#39;s campaign needs, including RM lead generation and manual SMS outreach. Develop and maintain customer-focused dashboards, KPIs, and reporting systems.</p>\n<p>To be successful in the role, you should meet the following requirements: Minimum of 5 years&#39; experience in one or multiple skills in data/business analytics in the financial or digital domains. Demonstrated experience in process and analysis of large amounts of data using one of these: Python, R, SQL, or SAS; on environments such as AWS, Google Cloud, or Hadoop. Knowledge and experience in AI, big data, machine learning, or predictive algorithms, statistics modeling, and data mining. Excellent communication and teamwork skills, able to collaborate effectively with different departments and stakeholders. Strong problem-solving skills and innovative thinking, able to translate complex business problems into data analytics solutions. Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses. Good English communication skills, able to collaborate effectively with domestic and international teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e8aabc91-c80","directApply":true,"hiringOrganization":{"@type":"Organization","name":"HSBC International Wealth and Premier Banking","sameAs":"https://portal.careers.hsbc.com","logo":"https://logos.yubhub.co/portal.careers.hsbc.com.png"},"x-apply-url":"https://portal.careers.hsbc.com/careers/job/563774610677890","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","R","SQL","SAS","AWS","Google Cloud","Hadoop","AI","big data","machine learning","predictive algorithms","statistics modeling","data mining"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:11:33.642Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Python, R, SQL, SAS, AWS, Google Cloud, Hadoop, AI, big data, machine learning, predictive algorithms, statistics modeling, data mining"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_79072a0c-85b"},"title":"Behavioral Data Science Intern - Agentic AI & People Analytics","description":"<p>Where do you want to go? What do you want to achieve? How would you like to get involved? At Bayer, we bring together multi-talents and specialists to feed the world, slow climate change, and create healthier, more sustainable lives for all.</p>\n<p>This is the opportunity to start your career with a global leader committed to HealthForAll and HungerForNone. Bring your ideas, skills, and passion with you. Your career starts here.</p>\n<p>Are you passionate about AI, data science, and behavioural insights? Join our Talent Impact team and apply your technical skills to projects that combine machine learning, generative AI, and behavioural science to improve how people work and develop. This internship offers hands-on experience in a supportive environment where you’ll learn, contribute, and make an impact.</p>\n<p>Your tasks and educational objectives:</p>\n<ul>\n<li>Work with HR and behavioural data to create structured, analysis-ready datasets for people analytics.</li>\n<li>Support development and testing agentic AI workflows (including LLM-based tools) that support HR decision-making.</li>\n<li>Help to build and evaluate machine learning models to explore workforce trends, learning behaviours, and engagement.</li>\n<li>Together with team members, create dashboards and visualisations that turn complex data into actionable insights for HR and business partners.</li>\n<li>Apply modern data workflows using Databricks, GitHub Spaces, and cloud platforms (Azure or AWS).</li>\n<li>Collaborate with experienced mentors and participate in small experiments to measure impact and share findings.</li>\n</ul>\n<p>Who you are:</p>\n<ul>\n<li>Python programming skills for data processing, modelling, and AI workflows.</li>\n<li>Hands-on experience with Generative AI (GenAI) or LLM-based systems (academic projects or internships count).</li>\n<li>Familiarity with cloud platforms (Azure or AWS), with a focus on Databricks and GitHub Spaces for collaborative development.</li>\n<li>Solid foundation in data science and machine learning.</li>\n<li>Strong interest in behavioural science, people analytics, and HR.</li>\n<li>Currently enrolled in a Master’s or advanced Bachelor’s program in data science, computer science, cognitive science, psychology, behavioural economics, neuroscience, or a related field.</li>\n<li>Curiosity, willingness to learn, and ability to work on-site in Leverkusen.</li>\n<li>Fluent English, written and spoken.</li>\n</ul>\n<p>What we offer:</p>\n<p>Our benefits package is flexible, appreciative, and tailored to your lifestyle, because what matters to you, matters to us!</p>\n<ul>\n<li>For a full-time position, you can expect an attractive salary of € 2,214 gross per month.</li>\n<li>Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.</li>\n<li>We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.</li>\n<li>As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.</li>\n<li>We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.</li>\n</ul>\n<p>Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work, for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy</p>\n<p>Our Mission &amp; Strategy:</p>\n<p>Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer. Ready to join us? Apply now and start your 6-month learning journey in Leverkusen!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_79072a0c-85b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949975182354","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Python","Generative AI","LLM-based systems","Cloud platforms (Azure or AWS)","Databricks","GitHub Spaces","Data science","Machine learning"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:10:44.663Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Leverkusen"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"Python, Generative AI, LLM-based systems, Cloud platforms (Azure or AWS), Databricks, GitHub Spaces, Data science, Machine learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6bfc6b4-74f"},"title":"Senior Data Scientist - Marketing (all genders)","description":"<p>Join our Business Intelligence Department, a multidisciplinary group of Data Scientists, Analysts, and Data Engineers. Together, we build machine learning and analytics products that directly influence GMV, conversion, and retention.</p>\n<p>Within the department, we’re building a new Marketing Analytics team and are looking for a Senior Data Scientist to drive its data science initiatives. In this role, you’ll work closely with Analysts, Engineers, and Marketing stakeholders to develop and productionize advanced machine learning, statistical, and predictive models that improve marketing performance and drive measurable company growth.</p>\n<p>As a Senior Data Scientist – Marketing, you’ll take strong ownership of data science initiatives that directly shape our marketing strategy and growth. You will:</p>\n<p>Partner closely with Marketing, Marketing Analytics, and Marketing Technology to identify opportunities and translate business questions into scalable data science solutions.</p>\n<p>Lead the development of high-impact machine learning and statistical models for marketing use cases such as channel allocation, ad bidding, churn prediction, lifetime value, revenue attribution, and business metrics forecasting.</p>\n<p>Work end-to-end - from translating business questions into hypotheses to researching, building, validating, and deploying models.</p>\n<p>Run experiments and iterate in production: design A/B tests, monitor model performance, and continuously improve based on measured impact.</p>\n<p>Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.</p>\n<p>Help define the team&#39;s roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.</p>\n<p>Act as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.</p>\n<p>We&#39;re looking for someone with 5+ years of experience as a Data Scientist, with clear ownership of projects that delivered measurable business impact. You should have a degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field, and strong expertise in machine learning, statistics, and predictive analytics, with hands-on experience using Python and SQL.</p>\n<p>Experience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.</p>\n<p>Additionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you&#39;ll need to work with diverse stakeholders and explain complex topics in a simple way.</p>\n<p>AI proficiency is also a plus, as you&#39;ll be comfortable using AI to enhance coding, planning, and monitoring, and successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.</p>\n<p>If you&#39;re excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c6bfc6b4-74f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2510157","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Statistics","Predictive Analytics","Python","SQL","Marketing Data Science","Attribution Modeling","Customer Lifetime Value Prediction","Churn Modeling","Bid Optimization"],"x-skills-preferred":["AI","CI/CD Pipelines","Retraining Workflows","Lineage Tracking","Documentation","Airflow","dbt","Git"],"datePosted":"2026-04-18T22:10:24.739Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Statistics, Predictive Analytics, Python, SQL, Marketing Data Science, Attribution Modeling, Customer Lifetime Value Prediction, Churn Modeling, Bid Optimization, AI, CI/CD Pipelines, Retraining Workflows, Lineage Tracking, Documentation, Airflow, dbt, Git"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_02c944ab-f9e"},"title":"Senior Data Scientist - Dynamic Pricing & Revenue Management (all genders)","description":"<p>You&#39;ll be part of our new Dynamic Pricing &amp; Revenue Management team, working alongside a Data Analyst and Data Engineer. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic and data driven pricing strategy.</p>\n<p>You&#39;ll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.</p>\n<p>As a Senior Data Scientist, you&#39;ll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:</p>\n<ul>\n<li>Translate business questions into scientific, testable models and clear recommendations.</li>\n<li>Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.</li>\n<li>Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.</li>\n<li>Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.</li>\n<li>Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.</li>\n<li>Monitor model performance, iterate on results, and continuously improve accuracy and relevance.</li>\n<li>Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.</li>\n</ul>\n<p>You&#39;ll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You&#39;ll have a strong background in statistics, forecasting, and machine learning. You&#39;ll be hands-on with Python and SQL, and confident working with large datasets. You&#39;ll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).</p>\n<p>You&#39;ll be a self-starter: proactive, hungry to learn, and eager to make an impact. You&#39;ll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_02c944ab-f9e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2518625","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","SQL","Machine Learning","Forecasting","Predictive Modeling","Data Science","Data Analysis","Data Engineering"],"x-skills-preferred":["Dynamic Pricing","Revenue Optimization","Marketplace Dynamics","Cloud Computing","Big Data","Data Visualization"],"datePosted":"2026-04-18T22:10:08.998Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Machine Learning, Forecasting, Predictive Modeling, Data Science, Data Analysis, Data Engineering, Dynamic Pricing, Revenue Optimization, Marketplace Dynamics, Cloud Computing, Big Data, Data Visualization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c994b912-628"},"title":"Director, Global Enterprise Applications (all genders)","description":"<p>We are seeking a transformational leader to joinälle tonies as Director, Global Enterprise Applications. Reporting directly to the CIO, you will be instrumental in reshaping our technology landscape, scaling our capabilities globally, and driving the successful migration from Microsoft Business Central to SAP S/4HANA Cloud.</p>\n<p>This is a career-defining opportunity to build a modern, high-performing global application function from the ground up and influence how our technology supports growth, scalability, and operational excellence.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the SAP S/4HANA Transformation: Own the successful execution, deployment, and post-go-live support of our global ERP implementation, standardizing processes across all legal entities.</li>\n</ul>\n<ul>\n<li>Build a Global Application Function: Establish the organisational structure, talent, and sustainable operating model for a world-class, global Enterprise Applications department, balancing internal capabilities with external expertise.</li>\n</ul>\n<ul>\n<li>Define and Execute the Application Strategy: Develop the roadmap for our core business applications, including our CRM platforms potentially, ensuring they align with our expansion and new product initiatives.</li>\n</ul>\n<ul>\n<li>Drive Commercial Integration: Ensure seamless, robust, and scalable integration between the core ERP system and our customer-facing systems, particularly our Global E-Commerce Platform, to enable aggressive sales expansion.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Builder-Leader track record: Proven experience building and leading an Enterprise Applications function within a startup or scale-up (or similar mid-market) environment. Strong track record of end-to-end ownership of initiatives, with the ability to operate seamlessly between strategy and execution in high-growth, fast-moving organisations.</li>\n</ul>\n<ul>\n<li>International Experience: You have a proven track record of managing globally distributed models and possess the cultural agility required to lead critical projects across diverse geographies.</li>\n</ul>\n<ul>\n<li>Proven ERP Transformation Success: Extensive, hands-on experience leading large-scale ERP and CRM implementations/migrations ($300M+ organisations), with a strong preference for SAP S/4HANA Cloud or comparable modern ERP systems.</li>\n</ul>\n<ul>\n<li>Enabling Leadership: Experience building support models and processes that balance agility and business needs with the need for security and operational stability, moving the organisation toward best practices.</li>\n</ul>\n<ul>\n<li>Business Acumen: Deep understanding of the core processes in a consumer electronics/media business (e.g., Order-to-Cash, Procure-to-Pay, Record-to-Report).</li>\n</ul>\n<ul>\n<li>Excellent Communication: A track record of successfully influencing and communicating complex technical and organisational topics to the C-suite and business stakeholders.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c994b912-628","directApply":true,"hiringOrganization":{"@type":"Organization","name":"tonies GmbH","sameAs":"https://tonies.jobs.personio.com","logo":"https://logos.yubhub.co/tonies.jobs.personio.com.png"},"x-apply-url":"https://tonies.jobs.personio.com/job/2480455","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["SAP S/4HANA Cloud","ERP","CRM","Global E-Commerce Platform","Microsoft Business Central","Enterprise Applications","Cloud Computing","Digital Transformation"],"x-skills-preferred":["Data Analytics","Cybersecurity","Artificial Intelligence","Machine Learning"],"datePosted":"2026-04-18T22:09:53.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Düsseldorf · London · Berlin"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SAP S/4HANA Cloud, ERP, CRM, Global E-Commerce Platform, Microsoft Business Central, Enterprise Applications, Cloud Computing, Digital Transformation, Data Analytics, Cybersecurity, Artificial Intelligence, Machine Learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_80d15de9-aa7"},"title":"Senior Data Scientist - Rankings & Recommendations (all genders)","description":"<p>Join our Business Intelligence Department, a multidisciplinary group of Data Scientists, Analysts, and Data Engineers.</p>\n<p>You will join a cross-functional Product team, Search Intelligence, which is responsible for optimizing ranking and recommendations for users visiting our website.</p>\n<p>You&#39;ll be part of the broader Data Science team, which operates across cross-functional domain teams - giving you access to shared knowledge, best practices, and collaboration opportunities beyond your domain.</p>\n<p>You’ll collaborate daily with Data Engineers, Analysts, Product Managers, and Back-end Engineers.</p>\n<p>You’ll report to the Team Lead, Data Science.</p>\n<p>Together, we turn data into actionable insights and innovative technology that powers how millions of guests find and book their perfect holiday home.</p>\n<p><strong>Our Tech Stack</strong></p>\n<ul>\n<li>Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow</li>\n</ul>\n<p>The Ranking challenge at Holidu</p>\n<p>Holidu lists over 4 million vacation rental properties. Our ranking and personalization systems determine which of them our 70+ million annual users see, directly impacting search conversion and business results.</p>\n<p>What&#39;s live today:</p>\n<ul>\n<li>Multi-stage ranking pipeline: Reinforcement-learning-based cold ranking, contextual re-ranking, and personalized recommendations.</li>\n</ul>\n<ul>\n<li>Cold-start models for new properties with limited behavioral data.</li>\n</ul>\n<ul>\n<li>Personalized recommendations based on user browsing patterns.</li>\n</ul>\n<p>Some of the hard problems we&#39;re solving:</p>\n<ul>\n<li>Multi-objective optimization: Balancing user relevance, conversion probability, and business value.</li>\n</ul>\n<ul>\n<li>Personalization without history: Most users are anonymous or first-time visitors.</li>\n</ul>\n<ul>\n<li>Cold-start: A significant share of our inventory is new each quarter. How do we surface quality properties before we have behavioral data?</li>\n</ul>\n<p><strong>Your role in this journey</strong></p>\n<p>You&#39;ll shape the ranking and recommendation systems that millions of guests rely on to find their holiday home. With access to extensive datasets and modern ML infrastructure, you&#39;ll work end-to-end - from identifying opportunities and prototyping new approaches to shipping models to production and measuring their impact.</p>\n<ul>\n<li>Develop high-impact models and improvements for our ranking, recommendation, and personalization systems - with the freedom to explore new, creative approaches.</li>\n</ul>\n<ul>\n<li>Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.</li>\n</ul>\n<ul>\n<li>Design and run A/B tests as a core part of ranking development; success is measured by successful experiments per quarter and time-to-decision.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Product Managers and Software Engineers to identify, prioritize, and ship ranking improvements.</li>\n</ul>\n<ul>\n<li>Ensure model reliability in production, measured by online/offline agreement, model and data drift KPIs, latency and uptime SLAs, and automated monitoring coverage.</li>\n</ul>\n<ul>\n<li>Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.</li>\n</ul>\n<ul>\n<li>Demonstrate leadership in data science projects by driving technical direction, scoping initiatives, and guiding the team&#39;s prioritization and project execution.</li>\n</ul>\n<p><strong>Your backpack is filled with</strong></p>\n<ul>\n<li>5+ years of experience as a Data Scientist, with a proven track record of applying ML models to solve real business problems.</li>\n</ul>\n<ul>\n<li>Experience working on ranking models or recommender systems is a strong advantage.</li>\n</ul>\n<ul>\n<li>A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.</li>\n</ul>\n<ul>\n<li>Strong foundations in statistics, predictive modeling, and machine learning techniques, with hands-on experience using Python and SQL.</li>\n</ul>\n<ul>\n<li>Experience with Airflow and dbt is a plus.</li>\n</ul>\n<ul>\n<li>Solid understanding of business operations and the ability to translate data insights into clear, actionable outcomes.</li>\n</ul>\n<ul>\n<li>A collaborative mindset and enthusiasm for using data to build world-class products that make a real impact.</li>\n</ul>\n<ul>\n<li>AI Proficiency: You are comfortable using AI to enhance coding, planning, and monitoring. This includes successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.</li>\n</ul>\n<p><strong>Our adventure includes</strong></p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.</li>\n</ul>\n<ul>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.</li>\n</ul>\n<ul>\n<li>Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.</li>\n</ul>\n<ul>\n<li>Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.</li>\n</ul>\n<ul>\n<li>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.</li>\n</ul>\n<ul>\n<li>Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.</li>\n</ul>\n<p>Need a sneak peek? Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!</p>\n<p><strong>Want to travel with us?</strong></p>\n<p>Apply online on our careers page! Your first travel contact will be Lucia from HR.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_80d15de9-aa7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2413808","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","Airflow","dbt","AWS","MLflow","Machine Learning","Statistics","Predictive Modeling","SQL"],"x-skills-preferred":["AI","Data Science","Ranking Models","Recommender Systems","Collaboration","Communication"],"datePosted":"2026-04-18T22:09:15.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Airflow, dbt, AWS, MLflow, Machine Learning, Statistics, Predictive Modeling, SQL, AI, Data Science, Ranking Models, Recommender Systems, Collaboration, Communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6831d5f-7e9"},"title":"Principal AI Ops Architect, GPS","description":"<p><strong>Role Overview</strong></p>\n<p>Scale&#39;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.</p>\n<p>Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for national LLMs, and upskilling and advisory services to spread the impact of AI.</p>\n<p>As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.</p>\n<p>At Scale, we&#39;re not just building AI solutions,we&#39;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.</li>\n<li>Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.</li>\n<li>Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.</li>\n<li>Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.</li>\n<li>Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.</li>\n<li>Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.</li>\n<li>Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.</li>\n</ul>\n<p><strong>Ideal Candidate</strong></p>\n<ul>\n<li>Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.</li>\n<li>Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.</li>\n<li>System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.</li>\n<li>Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.</li>\n<li>Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.</li>\n<li>Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.</li>\n<li>Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a leading AI company</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p><strong>About Us</strong></p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c6831d5f-7e9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4671740005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Cloud Computing","Kubernetes","Vector Databases","Agentic Development","LLM Observability Tools","System Architecture","Global Government Security Standards"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:02:05.605Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doha, Qatar; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Cloud Computing, Kubernetes, Vector Databases, Agentic Development, LLM Observability Tools, System Architecture, Global Government Security Standards"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9a42f26c-511"},"title":"Evals Engineer, Applied AI","description":"<p>We are seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry&#39;s leading GenAI Evaluation Suite.</p>\n<p>As a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise, you will partner with Scale&#39;s Operations team and enterprise customers to translate ambiguity into structured evaluation data. This involves guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.</p>\n<p>Your responsibilities will also include analysing feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. You will design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems, including creating models that critique, grade, and explain agent outputs.</p>\n<p>To succeed in this role, you will need a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and the ability to thrive in a dynamic, fast-paced research environment. You should be able to think outside the box, stay current with the latest literature in AI evaluation, and be passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.</p>\n<p>In addition to your technical expertise, you will need excellent communication and collaboration skills, as you will work closely with cross-functional teams to drive project success.</p>\n<p>If you are a motivated and detail-oriented individual with a passion for AI research and evaluation, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9a42f26c-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4629589005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Python","PyTorch","TensorFlow","Large Language Models","Generative AI","Machine Learning","Applied Research","Evaluation Infrastructure"],"x-skills-preferred":["Advanced degree in Computer Science, Machine Learning, or a related quantitative field","Published research in leading ML or AI conferences","Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems","Experience collaborating with operations or external teams to define high-quality human annotator guidelines","Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis"],"datePosted":"2026-04-18T16:01:26.736Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, Large Language Models, Generative AI, Machine Learning, Applied Research, Evaluation Infrastructure, Advanced degree in Computer Science, Machine Learning, or a related quantitative field, Published research in leading ML or AI conferences, Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems, Experience collaborating with operations or external teams to define high-quality human annotator guidelines, Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_780e371b-60c"},"title":"STEM Fellow - Human Frontier Collective (US)","description":"<p>This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension.</p>\n<p>As an HFC Fellow, you&#39;ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.</p>\n<p>Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you&#39;ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale&#39;s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.</p>\n<p>Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.</p>\n<p>Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_780e371b-60c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Human Frontier Collective","sameAs":"https://humanfrontiercollective.org/","logo":"https://logos.yubhub.co/humanfrontiercollective.org.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4574113005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"contract","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Computer Science","Physics","Biology","Chemistry","Mathematics","Humanities"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:01:26.733Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Computer Science, Physics, Biology, Chemistry, Mathematics, Humanities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a8d34aff-3e5"},"title":"Applied AI Engineer, Global Public Sector","description":"<p>We&#39;re hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI.</p>\n<p>You will partner with public sector clients to deeply understand their challenges and define AI-driven solutions.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models</li>\n<li>Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets</li>\n<li>Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models</li>\n<li>Participating in customer engagements, including occasional travel (approximately two weeks per quarter)</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>\n<li>7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++</li>\n<li>2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines</li>\n<li>Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)</li>\n<li>Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets</li>\n<li>Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience working at a startup, particularly as founding engineer</li>\n<li>Experience building and deploying large-scale AI solutions</li>\n<li>Strong written and verbal communication skills to operate in a cross-functional team environment</li>\n<li>Proficiency in Arabic (if focused on language models)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a8d34aff-3e5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4413992005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript/JavaScript","Java","C++","Cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)"],"x-skills-preferred":["Experience working at a startup, particularly as founding engineer","Experience building and deploying large-scale AI solutions","Strong written and verbal communication skills to operate in a cross-functional team environment","Proficiency in Arabic (if focused on language models)"],"datePosted":"2026-04-18T16:00:59.864Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doha, Qatar; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript/JavaScript, Java, C++, Cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure), Experience working at a startup, particularly as founding engineer, Experience building and deploying large-scale AI solutions, Strong written and verbal communication skills to operate in a cross-functional team environment, Proficiency in Arabic (if focused on language models)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4673f6f8-87f"},"title":"Senior Motion Designer","description":"<p>We are looking for a versatile Senior Motion Designer to join the Brand Studio at Scale AI. This is an exciting opportunity to help evolve Scale&#39;s brand, creating dynamic visual narratives for brand storytelling, translating creative direction into animated content and videos across a wide range of initiatives.</p>\n<p>The ideal candidate is scrappy, thrives in a fast-paced, dynamic environment, is willing to experiment, and has exceptionally strong design fundamentals. You will lead the end-to-end production of high-fidelity motion graphics, from initial concept to final rendering and delivery, dedicate time to research and development of new design concepts, experimenting with emerging motion trends and technologies to keep the brand at the forefront of the AI industry, develop and optimize motion workflows, including the integration of generative AI tools to improve team efficiency and output quality, apply a high degree of taste and rigorous design fundamentals to all experimental work, ensuring that even the most &quot;scrappy&quot; or innovative explorations maintain brand integrity, and translate complex technical data and AI concepts into compelling visual narratives that resonate with both developer communities and executive stakeholders.</p>\n<p>Ideally you&#39;d have 5+ years of professional experience in motion design or creative production, ideally within a high-growth technology company, world-class agency, or culturally-defining brand, exceptional command of typography, color theory, and composition, proven ability to thrive in &quot;scrappy&quot; and ambiguous environments, managing rapid-fire R&amp;D alongside long-term strategic projects, and experience working in multidisciplinary teams and a track record of fostering a culture of continuous learning and mentorship.</p>\n<p>Nice to haves include experience in node-based motion software such as TouchDesigner, Cavalry, 3D software experience in Cinema 4D, Blender, or Houdini, generative AI tooling, background in creative production, and experience working with global teams and managing remote collaborations.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4673f6f8-87f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4650973005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$158,400-$198,000 USD","x-skills-required":["motion design","creative production","typography","color theory","composition","node-based motion software","TouchDesigner","Cavalry","3D software","Cinema 4D","Blender","Houdini","generative AI tooling"],"x-skills-preferred":["experience in high-growth technology companies","world-class agencies","culturally-defining brands","multidisciplinary teams","continuous learning and mentorship"],"datePosted":"2026-04-18T16:00:59.718Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"motion design, creative production, typography, color theory, composition, node-based motion software, TouchDesigner, Cavalry, 3D software, Cinema 4D, Blender, Houdini, generative AI tooling, experience in high-growth technology companies, world-class agencies, culturally-defining brands, multidisciplinary teams, continuous learning and mentorship","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":158400,"maxValue":198000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1d67909d-97e"},"title":"Senior Machine Learning Engineer - Model Evaluations, Public Sector","description":"<p>The Public Sector ML team at Scale deploys advanced AI systems, including LLMs, agentic models, and multimodal pipelines, into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints.</p>\n<p>As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing and maintaining automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.</li>\n</ul>\n<ul>\n<li>Designing test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.</li>\n</ul>\n<ul>\n<li>Building evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.</li>\n</ul>\n<ul>\n<li>Conducting comparative analyses of model architectures, training procedures, and evaluation outcomes.</li>\n</ul>\n<ul>\n<li>Implementing tools for continuous monitoring, regression testing, and quality assurance for ML systems.</li>\n</ul>\n<ul>\n<li>Designing and executing stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.</li>\n</ul>\n<ul>\n<li>Collaborating with operations teams and subject matter experts to produce high-quality evaluation datasets.</li>\n</ul>\n<p>This role requires an active security clearance or the ability to obtain a security clearance.</p>\n<p>Ideal candidates will have experience in computer vision, deep learning, reinforcement learning, or NLP in production settings, strong programming skills in Python, and background in algorithms, data structures, and object-oriented programming.</p>\n<p>Nice to have qualifications include graduate degree in CS, ML, or AI, cloud experience (AWS, GCP), and model deployment experience.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.</p>\n<p>You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1d67909d-97e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4631848005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,450-$300,300 USD (San Francisco, New York, Seattle) $216,300-$269,850 USD (Washington DC, Texas, Colorado, Hawaii)","x-skills-required":["Python","TensorFlow","PyTorch","Computer Vision","Deep Learning","Reinforcement Learning","NLP","Algorithms","Data Structures","Object-Oriented Programming"],"x-skills-preferred":["Graduate Degree in CS, ML, or AI","Cloud Experience (AWS, GCP)","Model Deployment Experience"],"datePosted":"2026-04-18T16:00:58.976Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TensorFlow, PyTorch, Computer Vision, Deep Learning, Reinforcement Learning, NLP, Algorithms, Data Structures, Object-Oriented Programming, Graduate Degree in CS, ML, or AI, Cloud Experience (AWS, GCP), Model Deployment Experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216300,"maxValue":300300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_89a98b47-e2f"},"title":"STEM Fellow - Human Frontier Collective (UK)","description":"<p>This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension.</p>\n<p>As an HFC Fellow, you&#39;ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.</p>\n<p>Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance.</p>\n<p>HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.</p>\n<p>Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.</p>\n<p>Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines.</p>\n<p>Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.</p>\n<p>Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.</p>\n<p>Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.</p>\n<p>Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.</p>\n<p>Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_89a98b47-e2f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Human Frontier Collective","sameAs":"https://www.humanfrontiercollective.com/","logo":"https://logos.yubhub.co/humanfrontiercollective.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4620719005","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"contract","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Physics","Biology","Chemistry","Mathematics","Humanities"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:55.155Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United Kingdom"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_932deed1-44d"},"title":"Lead Counsel, Product and Intellectual Property","description":"<p>Join our legal team to work on exciting legal, policy, and operational issues at the leading edge of AI. As product counsel, you will advise on all legal aspects of product development, launch, and operations, including regulatory compliance, user terms, and risk management. You will lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization. You will partner with cross-functional teams to mitigate IP risks in product development, data licensing, and open-source governance. You will support management of Scale&#39;s worldwide IP portfolio, including patents and trademarks, and assist with patent prosecution and trademark registration and enforcement. You will advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements, and design open-source governance policies. You will support drafting and negotiation of commercial agreement provisions involving intellectual property. You will provide counsel on machine learning, robotics, and other technical areas, with the ability to engage effectively with technical teams on complex engineering and product issues. You will develop and deliver IP and data licensing training to enhance Scale&#39;s compliance culture.</p>\n<p>Ideally, you will have 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department, with experience advising on broader product or regulatory matters. You will have a JD and active membership in at least one U.S. state bar (California preferred) in good standing. You will have strategic thinking, risk calibration, collaboration, agility, and organizational skills. You will have a deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_932deed1-44d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4651614005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$231,000-$288,750 USD","x-skills-required":["Intellectual Property Law","Product Development","Regulatory Compliance","Risk Management","Patent Prosecution","Trademark Registration and Enforcement","Open-Source Governance","Machine Learning","Robotics","Technical Writing"],"x-skills-preferred":["Artificial Intelligence","Generative AI","Collaboration","Strategic Thinking","Risk Calibration","Agility","Organizational Skills"],"datePosted":"2026-04-18T16:00:52.789Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"Intellectual Property Law, Product Development, Regulatory Compliance, Risk Management, Patent Prosecution, Trademark Registration and Enforcement, Open-Source Governance, Machine Learning, Robotics, Technical Writing, Artificial Intelligence, Generative AI, Collaboration, Strategic Thinking, Risk Calibration, Agility, Organizational Skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":231000,"maxValue":288750,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d30384aa-64a"},"title":"Strategic Projects Lead - Coding","description":"<p>Scale&#39;s Generative AI business unit is experiencing historic levels of growth. As a Strategic Projects Lead, you will lead initiatives that drive $XXM+ in new revenue for the business. This is a demanding role, requiring a strong entrepreneurial mindset, comfort with getting into the weeds, and excitement about intense, impactful work that leads to accelerated career progression.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Serve as the full owner of our most visible and high-impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins</li>\n<li>Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs</li>\n<li>Build out pipeline infrastructure to ensure quality and efficiency</li>\n<li>Train, coach, and manage dynamic and global teams</li>\n<li>Build analytics to make data-driven decisions</li>\n<li>Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world</li>\n<li>Give regular progress updates to Scale&#39;s executive team</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering</li>\n<li>3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE</li>\n<li>Strong problem-solving capabilities in technical environments</li>\n<li>Ability to come up with creative solutions to complex, ambiguous, operational, and technical problems</li>\n<li>Entrepreneurial experience and mindset</li>\n</ul>\n<p>Compensation and Benefits: The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d30384aa-64a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4666036005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$112,000-$190,000 USD","x-skills-required":["Machine Learning Engineering","Computer Science","Software Engineering","SQL","Python","Data Analytics"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:51.409Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning Engineering, Computer Science, Software Engineering, SQL, Python, Data Analytics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6d9e591-c2d"},"title":"Software Engineer, Frontier AI Infrastructure","description":"<p>We are seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team.</p>\n<p>As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models.</p>\n<p>You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues.</p>\n<p>You will also work upstream with Product to understand features before they break, moving us from &quot;infra-only debugging&quot; to proactive integration testing.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale&#39;s modern and cloud-native AI infrastructure.</li>\n</ul>\n<ul>\n<li>Own services or systems and define their long-term health goals, while also improving the health of surrounding components.</li>\n</ul>\n<ul>\n<li>Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.</li>\n</ul>\n<ul>\n<li>Work with Product to build integration tests that catch issues early, shifting the focus from &quot;infra-only debugging&quot; to preventing failures upstream.</li>\n</ul>\n<ul>\n<li>Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.</li>\n</ul>\n<ul>\n<li>Contribute to the platform roadmap and product strategy for Scale AI&#39;s Public Sector business, playing a key role in shaping the future direction of our offerings.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>At least an active secret clearance and the ability &amp; willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance.</li>\n</ul>\n<ul>\n<li>Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases.</li>\n</ul>\n<ul>\n<li>Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.</li>\n</ul>\n<ul>\n<li>Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software &amp; technical solutions that meet strict security &amp; regulatory compliance requirements.</li>\n</ul>\n<ul>\n<li>Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions.</li>\n</ul>\n<ul>\n<li>Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers.</li>\n</ul>\n<ul>\n<li>Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements.</li>\n</ul>\n<ul>\n<li>Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $184,000-$259,440 USD</p>\n<p>The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $165,600-$233,496 USD</p>\n<p>The base salary range for this full-time position in the location of St. Louis is: $138,000-$194,580 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c6d9e591-c2d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4363623005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$138,000-$259,440 USD","x-skills-required":["Full Stack Development","Cloud-Native Technologies","Security Focused","Problem Solving","Collaboration and Communication","Adaptability and Learning Agility"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:50.359Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Full Stack Development, Cloud-Native Technologies, Security Focused, Problem Solving, Collaboration and Communication, Adaptability and Learning Agility","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":138000,"maxValue":259440,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e8abf445-c26"},"title":"Staff Applied AI Engineer, Enterprise GenAI","description":"<p>We&#39;re looking for a Staff Applied AI Engineer to join our Enterprise Engineering team. As an Applied AI Engineer, you&#39;ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins.</p>\n<p>Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you&#39;ll use to improve your product&#39;s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!</p>\n<p>You will:</p>\n<ul>\n<li>Own, plan, and optimize the AI behind our Enterprise customer&#39;s deepest technical problems</li>\n<li>Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more</li>\n<li>Have experience gathering business requirements and translating them into technical solutions</li>\n<li>Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs</li>\n<li>Push production code in multiple development environments, writing and debugging code directly in both our customer&#39;s and Scale&#39;s codebases.</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>7+ years of full-time engineering experience, post-graduation</li>\n<li>A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals</li>\n<li>Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.</li>\n<li>Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results</li>\n<li>Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment</li>\n<li>Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Strong knowledge of software engineering best practices</li>\n<li>Have built applications taking advantage of Generative AI in real, production use cases</li>\n<li>Familiarity with state of the art LLMs and their strengths/weaknesses</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e8abf445-c26","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4683689005","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Python","Machine Learning","Cloud Technology Stack","Data-Driven Approach","Software Engineering Best Practices"],"x-skills-preferred":["Generative AI","State of the Art LLMs"],"datePosted":"2026-04-18T16:00:44.071Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, Cloud Technology Stack, Data-Driven Approach, Software Engineering Best Practices, Generative AI, State of the Art LLMs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_49dd5e7a-0ec"},"title":"Engagement Manager (Homeland Layered Defense), Public Sector","description":"<p>As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States.</p>\n<p>You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.</p>\n<p>All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions</li>\n</ul>\n<ul>\n<li>Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous</li>\n</ul>\n<ul>\n<li>Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains</li>\n</ul>\n<ul>\n<li>Leading a cross-functional team to exceed the customer’s AI/ML objectives</li>\n</ul>\n<ul>\n<li>Supporting and partnering across B2B and B2G organisations to achieve the outcomes in delivering the greater layered defense for the United States</li>\n</ul>\n<p>We have a diverse team with a variety of skill sets, many have:</p>\n<ul>\n<li>5+ years of professional experience, often in a customer-facing technical program management role in industry or government.</li>\n</ul>\n<ul>\n<li>A proven track record in B2B or government client-facing roles and expanding client relationships</li>\n</ul>\n<ul>\n<li>Prior experience leading engagements with government customers</li>\n</ul>\n<p>Must-haves include:</p>\n<ul>\n<li>An active TS/SCI clearance</li>\n</ul>\n<ul>\n<li>Minimum of 3 years of work experience leading teams / programs in industry or government</li>\n</ul>\n<ul>\n<li>A basic understanding of ML operations process</li>\n</ul>\n<ul>\n<li>A track record of structured, analytics-driven problem-solving</li>\n</ul>\n<ul>\n<li>Excellent verbal and written communication skills</li>\n</ul>\n<ul>\n<li>Willingness to travel at least 25% of the time</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_49dd5e7a-0ec","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636248005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$163,900-$245,300 USD","x-skills-required":["Agentic AI","AI/ML technologies","Computer vision","Generative AI","Machine learning operations process","Structured, analytics-driven problem-solving","Excellent verbal and written communication skills","Project management","Customer relationship management"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:32.609Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Colorado Springs, CO"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Agentic AI, AI/ML technologies, Computer vision, Generative AI, Machine learning operations process, Structured, analytics-driven problem-solving, Excellent verbal and written communication skills, Project management, Customer relationship management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":163900,"maxValue":245300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3fa0b80f-842"},"title":"Staff Software Engineer, Public Sector","description":"<p>Job Title: Staff Software Engineer, Public Sector</p>\n<p>We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement software solutions for the public sector</li>\n<li>Work closely with cross-functional teams to develop and deploy software applications</li>\n<li>Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs</li>\n<li>Develop and maintain software documentation</li>\n<li>Participate in code reviews and ensure that code meets quality standards</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or related field</li>\n<li>5+ years of experience in software development</li>\n<li>Proficiency in programming languages such as Java, Python, or C++</li>\n<li>Experience with Agile development methodologies</li>\n<li>Strong understanding of software design patterns and principles</li>\n<li>Excellent communication and collaboration skills</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s degree in Computer Science or related field</li>\n<li>10+ years of experience in software development</li>\n<li>Experience with cloud-based technologies such as AWS or Azure</li>\n<li>Experience with DevOps practices</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p>Salary Range: $252,000-$362,000 USD</p>\n<p>Required Skills:</p>\n<ul>\n<li>Full Stack Development</li>\n<li>Cloud-Native Technologies</li>\n<li>Data Engineering</li>\n<li>AI Application Integration</li>\n<li>Problem Solving</li>\n<li>Collaboration and Communication</li>\n<li>Adaptability and Learning Agility</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Experience with modern web development frameworks</li>\n<li>Familiarity with cloud platforms</li>\n<li>Understanding of containerization and container orchestration</li>\n<li>Knowledge of ETL processes</li>\n<li>Understanding of data modeling, data warehousing, and data governance principles</li>\n<li>Familiarity with integrating Large Language Models</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3fa0b80f-842","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4674913005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$252,000-$362,000 USD","x-skills-required":["Full Stack Development","Cloud-Native Technologies","Data Engineering","AI Application Integration","Problem Solving","Collaboration and Communication","Adaptability and Learning Agility"],"x-skills-preferred":["Experience with modern web development frameworks","Familiarity with cloud platforms","Understanding of containerization and container orchestration","Knowledge of ETL processes","Understanding of data modeling, data warehousing, and data governance principles","Familiarity with integrating Large Language Models"],"datePosted":"2026-04-18T16:00:27.694Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Full Stack Development, Cloud-Native Technologies, Data Engineering, AI Application Integration, Problem Solving, Collaboration and Communication, Adaptability and Learning Agility, Experience with modern web development frameworks, Familiarity with cloud platforms, Understanding of containerization and container orchestration, Knowledge of ETL processes, Understanding of data modeling, data warehousing, and data governance principles, Familiarity with integrating Large Language Models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":362000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d35e26ec-593"},"title":"Forward Deployed Engineer, GenAI","description":"<p>About Scale AI</p>\n<p>At Scale AI, our mission is to accelerate the development of AI applications.</p>\n<p>As a Forward Deployed Engineer, you&#39;ll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies.</li>\n</ul>\n<ul>\n<li>Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions.</li>\n</ul>\n<ul>\n<li>End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure.</li>\n</ul>\n<ul>\n<li>Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation.</li>\n</ul>\n<ul>\n<li>Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product.</li>\n</ul>\n<ul>\n<li>Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>At least 2 years of relevant experience is preferred</li>\n</ul>\n<ul>\n<li>Proven track record of shipping high-quality products and features at scale.</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and the ability to work independently or as part of a collaborative team.</li>\n</ul>\n<ul>\n<li>Desire to thrive in a fast-paced, dynamic environment.</li>\n</ul>\n<ul>\n<li>Ability to turn business and product ideas into engineering solutions.</li>\n</ul>\n<ul>\n<li>Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Ability to adapt quickly to the ever-changing world of generative AI.</li>\n</ul>\n<ul>\n<li>Excited to join a dynamic, hybrid team in either San Francisco or New York City.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n</ul>\n<ul>\n<li>Retirement benefits</li>\n</ul>\n<ul>\n<li>A learning and development stipend</li>\n</ul>\n<ul>\n<li>Generous PTO</li>\n</ul>\n<ul>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range:</p>\n<p>$179,400-$224,250 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d35e26ec-593","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4593571005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$179,400-$224,250 USD","x-skills-required":["large-scale data processing","distributed systems","machine learning","AI concepts","cloud-based infrastructure"],"x-skills-preferred":["experience working directly with enterprise customers","experience with reinforcement learning with human feedback"],"datePosted":"2026-04-18T16:00:22.735Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale data processing, distributed systems, machine learning, AI concepts, cloud-based infrastructure, experience working directly with enterprise customers, experience with reinforcement learning with human feedback","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":179400,"maxValue":224250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61e346b2-915"},"title":"Sr. Software Engineer, Inference","description":"<p>Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p>\n<p>The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.</p>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>High-performance, large-scale distributed systems</li>\n<li>Implementing and deploying machine learning systems at scale</li>\n<li>Load balancing, request routing, or traffic management systems</li>\n<li>LLM inference optimization, batching, and caching strategies</li>\n<li>Kubernetes and cloud infrastructure (AWS, GCP)</li>\n<li>Python or Rust</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have significant software engineering experience, particularly with distributed systems</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Want to learn more about machine learning systems and infrastructure</li>\n<li>Thrive in environments where technical excellence directly drives both business results and research breakthroughs</li>\n<li>Care about the societal impacts of your work</li>\n</ul>\n<p>Representative projects across the org:</p>\n<ul>\n<li>Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators</li>\n<li>Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads</li>\n<li>Building production-grade deployment pipelines for releasing new models to millions of users</li>\n<li>Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage</li>\n<li>Contributing to new inference features (e.g., structured sampling, prompt caching)</li>\n<li>Supporting inference for new model architectures</li>\n<li>Analyzing observability data to tune performance based on real-world production workloads</li>\n<li>Managing multi-region deployments and geographic routing for global customers</li>\n</ul>\n<p>Deadline to apply: None. Applications will be reviewed on a rolling basis.</p>\n<p>The annual compensation range for this role is £225,000-£325,000 GBP.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_61e346b2-915","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5152348008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000-£325,000 GBP","x-skills-required":["High-performance, large-scale distributed systems","Implementing and deploying machine learning systems at scale","Load balancing, request routing, or traffic management systems","LLM inference optimization, batching, and caching strategies","Kubernetes and cloud infrastructure (AWS, GCP)","Python or Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:17.377Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"High-performance, large-scale distributed systems, Implementing and deploying machine learning systems at scale, Load balancing, request routing, or traffic management systems, LLM inference optimization, batching, and caching strategies, Kubernetes and cloud infrastructure (AWS, GCP), Python or Rust","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5920f836-9df"},"title":"Manager, Machine Learning Research Scientist, GenAI","description":"<p>Scale AI accelerates the development of AI systems by providing data, infrastructure, and tooling that power advanced models. As AI evolves from static models to dynamic, agentic systems, Scale builds foundational research, evaluation methodologies, and agent/RL infrastructure.</p>\n<p>As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, defining the research roadmap and driving execution from early prototyping to deployment. You&#39;ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives</li>\n<li>Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution</li>\n<li>Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes</li>\n<li>Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally</li>\n<li>Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>5+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains</li>\n<li>A strong track record of research excellence, including publications in top-tier ML/AI venues</li>\n<li>Experience leading or managing research teams, mentoring, coaching, and developing talent</li>\n<li>Excellent written and verbal communication skills, articulating research ideas and outcomes to technical and non-technical stakeholders</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5920f836-9df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4631811005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$273,000-$393,000 USD","x-skills-required":["machine learning","deep learning","generative models","agent/RL systems","research leadership","team management","communication","publication","open-source contribution"],"x-skills-preferred":["PhD in machine learning or related domain","experience with large language models","post-training evaluation","agentic/RL environments"],"datePosted":"2026-04-18T16:00:09.239Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, generative models, agent/RL systems, research leadership, team management, communication, publication, open-source contribution, PhD in machine learning or related domain, experience with large language models, post-training evaluation, agentic/RL environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":273000,"maxValue":393000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0cd9dcc6-813"},"title":"Solutions Engineer, Enterprise","description":"<p>We&#39;re looking for a Solutions Engineer to join our Enterprise team. As a Solutions Engineer, you will play a vital role in the development of AI applications. You will partner closely with Account Executives, Product, and Machine Learning Engineers to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the &#39;technical win&#39;. You will scope customer technical requirements and develop an actionable Statement of Work. You will work closely with the delivery team to help with initial implementation.</p>\n<p>Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer&#39;s requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the &#39;technical win&#39; by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop &#39;Scopes of Work&#39; by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.</p>\n<p>Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.</p>\n<p>Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0cd9dcc6-813","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4642876005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Generative AI","large language model applications","Python","Java","web development languages","enterprise SaaS","cloud tech","finance","fintech"],"x-skills-preferred":["GenAI Experience","Forward deployed engineering experience","Machine Learning Experience"],"datePosted":"2026-04-18T16:00:07.677Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, large language model applications, Python, Java, web development languages, enterprise SaaS, cloud tech, finance, fintech, GenAI Experience, Forward deployed engineering experience, Machine Learning Experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_94b058de-e59"},"title":"Solutions Engineer, Enterprise","description":"<p>We are seeking a Solutions Engineer to join our team. As a Solutions Engineer, you will play a vital role in the development of AI applications. You will partner closely with Account Executives, Product, and Machine Learning Engineers to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. You will scope customer technical requirements and develop an actionable Statement of Work. You will work closely with the delivery team to help with initial implementation.</p>\n<p>You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.</p>\n<p>Ideally, you&#39;d have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.</p>\n<p>Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_94b058de-e59","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4554440005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$225,000 USD","x-skills-required":["Python","Java","web development languages","GenAI","Machine Learning","enterprise SaaS","cloud tech","finance","fintech"],"x-skills-preferred":["GenAI Experience","Forward deployed engineering experience","Machine Learning Experience"],"datePosted":"2026-04-18T15:59:54.301Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, web development languages, GenAI, Machine Learning, enterprise SaaS, cloud tech, finance, fintech, GenAI Experience, Forward deployed engineering experience, Machine Learning Experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_42f1b94b-959"},"title":"Segment Marketing Manager, Financial Services & Insurance","description":"<p>As a Segment Marketing Manager for Financial Services &amp; Insurance at Anthropic, you will own the end-to-end demand marketing strategy for one of the most consequential verticals in our go-to-market motion.</p>\n<p>Financial services and insurance organisations are among the earliest adopters of enterprise AI, and this role sits at the intersection of deep industry expertise and Anthropic&#39;s mission to build safe, reliable AI systems that deliver real business value.</p>\n<p>You&#39;ll be responsible for developing and executing industry campaigns, ABM, and targeted marketing programs that drive awareness, pipeline, and adoption of Claude and Anthropic&#39;s API among financial institutions, insurers, and related firms.</p>\n<p>This means deeply understanding the unique challenges, regulatory landscape, and decision-making dynamics of this segment , and translating that understanding into campaigns, content, and experiences that resonate with technical and business stakeholders alike.</p>\n<p>This is an ideal opportunity for someone who thrives at the intersection of strategic thinking and hands-on execution, and who is energised by the challenge of bringing frontier AI technology to an industry where trust, compliance, and reliability are non-negotiable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and own the marketing strategy for the Financial Services &amp; Insurance segment, including positioning, messaging, campaign planning, and go-to-market coordination in close partnership with Sales</li>\n</ul>\n<ul>\n<li>Create and execute integrated marketing programs , spanning digital, content, events, and partner channels , designed to generate pipeline and accelerate the sales cycle for enterprise prospects in this vertical</li>\n</ul>\n<ul>\n<li>Build a deep understanding of the competitive landscape, buyer personas, and AI adoption patterns specific to financial services and insurance, and translate those insights into actionable marketing strategies</li>\n</ul>\n<ul>\n<li>Develop segment-specific content including case studies, solution guides, thought leadership pieces, and enablement materials that speak to the priorities and pain points of this industry</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with product, sales, communications, design, and research teams to ensure marketing efforts are aligned with product capabilities and business objectives</li>\n</ul>\n<ul>\n<li>Design and implement ABM campaigns for top strategic accounts</li>\n</ul>\n<ul>\n<li>Manage relationships with industry analysts, event organisers, and strategic partners to expand Anthropic&#39;s reach and credibility within the segment</li>\n</ul>\n<ul>\n<li>Define and track key performance metrics for segment marketing programs, using data to continuously optimise campaigns and report on impact to leadership</li>\n</ul>\n<ul>\n<li>Stay current with regulatory developments, industry trends, and evolving AI adoption dynamics in financial services to inform marketing positioning and content strategy</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 7+ years of experience in B2B marketing, with a focus on enterprise technology or SaaS, and demonstrated expertise in one or more verticals within financial services or insurance</li>\n</ul>\n<ul>\n<li>Have a strong track record of developing and executing integrated marketing programs that have measurably driven pipeline and revenue in complex, enterprise sales cycles</li>\n</ul>\n<ul>\n<li>Understand the decision-making dynamics, regulatory considerations, and technology evaluation processes that are common in financial services organisations</li>\n</ul>\n<ul>\n<li>Are skilled at translating complex technical capabilities into compelling, audience-specific narratives , particularly for both technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Have experience collaborating closely with enterprise sales teams to align marketing strategy with deal-stage needs and pipeline goals</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and can balance long-term strategic planning with rapid, tactical execution in a fast-moving environment</li>\n</ul>\n<ul>\n<li>Are a strong communicator who can present clearly to leadership, cross-functional partners, and external audiences</li>\n</ul>\n<ul>\n<li>Care about ensuring that AI systems are developed safely and responsibly, and are excited about communicating that story to a sophisticated audience</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience marketing AI or machine learning products to regulated industries</li>\n</ul>\n<ul>\n<li>Familiarity with the specific compliance and risk management frameworks relevant to financial services (e.g., SOC 2, SOX, banking regulations)</li>\n</ul>\n<ul>\n<li>Background in analyst relations or thought leadership programmes within the financial services technology space</li>\n</ul>\n<ul>\n<li>Experience working at a high-growth technology company navigating rapid expansion into new verticals</li>\n</ul>\n<ul>\n<li>A track record of building segment marketing functions from the ground up or scaling them in fast-moving organisations</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $255,000-$320,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_42f1b94b-959","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5102259008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$320,000 USD","x-skills-required":["B2B marketing","Enterprise technology","SaaS","Financial services","Insurance","AI adoption","Regulatory compliance","Risk management","Data analysis","Strategic planning","Tactical execution","Communication","Presentation"],"x-skills-preferred":["Machine learning","Cloud computing","Cybersecurity","Digital marketing","Content creation","Event planning","Partner management","Analyst relations","Thought leadership"],"datePosted":"2026-04-18T15:59:51.464Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"B2B marketing, Enterprise technology, SaaS, Financial services, Insurance, AI adoption, Regulatory compliance, Risk management, Data analysis, Strategic planning, Tactical execution, Communication, Presentation, Machine learning, Cloud computing, Cybersecurity, Digital marketing, Content creation, Event planning, Partner management, Analyst relations, Thought leadership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78eea632-7b6"},"title":"Deep Research Agent Tech Lead","description":"<p>We&#39;re seeking a highly technical and strategic Staff/Senior Staff Machine Learning Engineer to act as the Tech Lead for our next-generation deep research agents for the Enterprise.</p>\n<p>This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.</p>\n<p>The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Technical Leadership &amp; Vision</strong></p>\n<ul>\n<li>Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.</li>\n</ul>\n<ul>\n<li>Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.</li>\n</ul>\n<ul>\n<li>Core Agent Capabilities Development:</li>\n</ul>\n<p><strong>Advanced Knowledge Retrieval</strong>: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.</p>\n<p><strong>Data Analysis</strong>: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.</p>\n<p><strong>Multimodal Intelligence</strong>: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent&#39;s knowledge base.</p>\n<p><strong>Architecture &amp; Design</strong>: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.</p>\n<p><strong>Technical Excellence</strong>: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.</p>\n<p><strong>Team Leadership &amp; Mentorship</strong></p>\n<ul>\n<li>Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.</li>\n</ul>\n<ul>\n<li>Recruiting &amp; Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.</li>\n</ul>\n<ul>\n<li>Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.</li>\n</ul>\n<ul>\n<li>8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.</li>\n</ul>\n<ul>\n<li>Deep expertise in Generative AI and Large Language Models (LLMs).</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.</li>\n</ul>\n<ul>\n<li>Experience with large-scale distributed systems and real-time data processing.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Advanced degree (Master&#39;s or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.</li>\n</ul>\n<ul>\n<li>Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.</li>\n</ul>\n<ul>\n<li>Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.</li>\n</ul>\n<ul>\n<li>Experience with vector databases and advanced retrieval techniques.</li>\n</ul>\n<ul>\n<li>A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.</li>\n</ul>\n<ul>\n<li>Experience driving cross-team technical initiatives that have delivered significant business impact.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p><strong>About Us</strong></p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_78eea632-7b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4623590005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Generative AI","Large Language Models (LLMs)","Agentic Frameworks","Machine Learning","Deep Learning","Applied Research","Distributed Systems","Real-time Data Processing"],"x-skills-preferred":["Text-to-SQL Systems","Multimodal AI","Reinforcement Learning (RL)","Reasoning and Planning","Agentic Systems","Vector Databases","Advanced Retrieval Techniques"],"datePosted":"2026-04-18T15:59:45.270Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, Large Language Models (LLMs), Agentic Frameworks, Machine Learning, Deep Learning, Applied Research, Distributed Systems, Real-time Data Processing, Text-to-SQL Systems, Multimodal AI, Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems, Vector Databases, Advanced Retrieval Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264800,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6365e7d7-511"},"title":"Senior Forward Deployed Data Scientist/Engineer","description":"<p>We&#39;re hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.</p>\n<p>This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.</p>\n<p>The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.</p>\n<p>Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</p>\n<p>Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information</p>\n<p>Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign</p>\n<p>What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_683a40cb-69e"},"title":"Machine Learning Research Scientist / Research Engineer, Post-Training","description":"<p>We are seeking a Research Scientist/Research Engineer to join our team. As a Research Scientist/Research Engineer, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.</li>\n<li>Design and experiment new approaches to preference optimization.</li>\n<li>Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.</li>\n<li>Publish research findings in top-tier AI conferences.</li>\n</ul>\n<p>Ideal Candidate:</p>\n<ul>\n<li>Ph.D. or Master&#39;s degree in Computer Science, Machine Learning, AI, or a related field.</li>\n<li>Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.</li>\n<li>Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals</li>\n<li>Previous experience in a customer-facing role.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_683a40cb-69e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4528009005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["deep learning","reinforcement learning","large-scale model fine-tuning","post-training techniques","RLHF","preference modeling","instruction tuning"],"x-skills-preferred":["published research","customer-facing role"],"datePosted":"2026-04-18T15:59:43.190Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning, reinforcement learning, large-scale model fine-tuning, post-training techniques, RLHF, preference modeling, instruction tuning, published research, customer-facing role","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f598f99-758"},"title":"Senior+ Software Engineer, Research Tools","description":"<p>We&#39;re looking for a Senior+ Software Engineer to join our Research Tools team. As a member of this team, you&#39;ll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.</p>\n<p>This role sits at the intersection of product thinking and full-stack engineering. You&#39;ll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you&#39;re building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.</p>\n<p>We&#39;re looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results</li>\n<li>Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions</li>\n<li>Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient</li>\n<li>Create reusable platforms and tools that accelerate the development of new research applications</li>\n<li>Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage</li>\n<li>Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration</li>\n<li>Contribute to technical strategy and architectural decisions for research tooling</li>\n<li>Mentor other engineers and help establish best practices for research application development</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of software engineering experience with a strong focus on full-stack development</li>\n<li>Excel at rapid iteration and shipping,you can move from concept to working prototype quickly</li>\n<li>Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)</li>\n<li>Demonstrate high agency and ability to operate independently in ambiguous environments</li>\n<li>Can quickly develop deep understanding of complex technical domains</li>\n<li>Have strong product instincts and can identify the right problems to solve</li>\n<li>Are proficient with modern web technologies (React, TypeScript, Python, etc.)</li>\n<li>Have a track record of building user-facing applications that are actually used and loved by their target audience</li>\n<li>Communicate effectively with both technical and non-technical stakeholders</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building research tools, scientific software, or experimentation platforms</li>\n<li>Background in machine learning, AI research, or working closely with ML researchers</li>\n<li>Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools</li>\n<li>Built open-source tools or platforms with active user communities</li>\n<li>Experience with data visualization, interactive interfaces, or novel interaction paradigms</li>\n<li>Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)</li>\n<li>Experience leveraging AI/LLMs to build more powerful or efficient tools</li>\n<li>Previous work in creative tools, artist tools, or other domains requiring deep user empathy</li>\n<li>Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment</li>\n</ul>\n<p>Annual compensation range for this role is $300,000-$405,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6f598f99-758","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4981828008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["full-stack development","modern web technologies","React","TypeScript","Python","rapid iteration","shipping","product instincts","problem-solving","communication","societal impacts"],"x-skills-preferred":["research tools","scientific software","experimentation platforms","machine learning","AI research","open-source tools","data visualization","interactive interfaces","novel interaction paradigms","engineering platforms","internal tooling","AI/LLMs","creative tools","artist tools","human-computer interaction","systems safety","AI alignment"],"datePosted":"2026-04-18T15:59:42.608Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack development, modern web technologies, React, TypeScript, Python, rapid iteration, shipping, product instincts, problem-solving, communication, societal impacts, research tools, scientific software, experimentation platforms, machine learning, AI research, open-source tools, data visualization, interactive interfaces, novel interaction paradigms, engineering platforms, internal tooling, AI/LLMs, creative tools, artist tools, human-computer interaction, systems safety, AI alignment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_853e1417-019"},"title":"Solutions Architect, Applied AI (National Security)","description":"<p>As a Solutions Architect, Applied AI (National Security), you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>TS/SCI clearance required</li>\n</ul>\n<ul>\n<li>Must have prior experience working with US national security (defense and/or intelligence) agencies</li>\n</ul>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiar with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>The annual compensation range for this role is $240,000-$270,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_853e1417-019","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5079511008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$270,000 USD","x-skills-required":["TS/SCI clearance","Prior experience working with US national security (defense and/or intelligence) agencies","Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager","Experience navigating complex buying cycles involving multiple stakeholders","Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders","Experience designing scalable cloud architectures and integrating with enterprise systems","Familiar with Python","Familiarity with common LLM frameworks and tools or a background in machine learning or data science"],"x-skills-preferred":["Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more","Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities","A love of teaching, mentoring, and helping others succeed","Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders","Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems"],"datePosted":"2026-04-18T15:59:41.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TS/SCI clearance, Prior experience working with US national security (defense and/or intelligence) agencies, Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager, Experience navigating complex buying cycles involving multiple stakeholders, Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders, Experience designing scalable cloud architectures and integrating with enterprise systems, Familiar with Python, Familiarity with common LLM frameworks and tools or a background in machine learning or data science, Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more, Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities, A love of teaching, mentoring, and helping others succeed, Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c64368dd-789"},"title":"Software Engineer, ARC Team","description":"<p>We are seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, &amp; Compute) to join our dynamic Public Sector Engineering team.</p>\n<p>As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts.</p>\n<p>You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages.</p>\n<p>You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company&#39;s standard for safe deployments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale&#39;s modern and cloud-native AI infrastructure.</li>\n</ul>\n<ul>\n<li>Own services or systems and define their long-term health goals, while also improving the health of surrounding components.</li>\n</ul>\n<ul>\n<li>Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.</li>\n</ul>\n<ul>\n<li>Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.</li>\n</ul>\n<ul>\n<li>Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.</li>\n</ul>\n<ul>\n<li>Contribute to the platform roadmap and product strategy for Scale AI&#39;s Public Sector business, playing a key role in shaping the future direction of our offerings.</li>\n</ul>\n<p>Must have:</p>\n<ul>\n<li>At least an active secret clearance and the ability &amp; willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing &amp; delivering software to air-gapped &amp; isolated environments is a plus.</li>\n</ul>\n<ul>\n<li>Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.</li>\n</ul>\n<ul>\n<li>Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software &amp; technical solutions that meet strict security &amp; regulatory compliance requirements.</li>\n</ul>\n<ul>\n<li>Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.</li>\n</ul>\n<ul>\n<li>Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.</li>\n</ul>\n<ul>\n<li>Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.</li>\n</ul>\n<ul>\n<li>Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c64368dd-789","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4673771005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$138,000-$259,440 USD","x-skills-required":["Cloud-Native Technologies","Containerization","Container Orchestration","Cloud Platforms","Federal Compliance Frameworks","Security Focused","Problem Solving","Collaboration and Communication","Adaptability and Learning Agility"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:38.809Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud-Native Technologies, Containerization, Container Orchestration, Cloud Platforms, Federal Compliance Frameworks, Security Focused, Problem Solving, Collaboration and Communication, Adaptability and Learning Agility","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":138000,"maxValue":259440,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dab43521-cfa"},"title":"Software Engineer, Robotics & Autonomous Systems","description":"<p>In this role, you&#39;ll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You&#39;ll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>\n<li>Building ML training and fine-tuning pipelines using Scale&#39;s robotics data</li>\n<li>Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>\n<li>Developing tools and systems for robotics data collection, teleoperation, and model evaluation</li>\n<li>Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>\n<li>Building real-time systems for robotic control, sensor fusion, and perception pipelines</li>\n<li>Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality</li>\n<li>Collaborating with ML engineers and researchers to bring robotics research into production</li>\n<li>Delivering features at high velocity while maintaining system reliability and performance</li>\n</ul>\n<p>Ideally, you have:</p>\n<ul>\n<li>3+ years of software engineering experience in robotics, autonomous vehicles, or related fields</li>\n<li>Strong programming skills in Python and TypeScript/Node.js for production systems</li>\n<li>Experience with React and modern frontend development for 3D interfaces</li>\n<li>Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems</li>\n<li>Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)</li>\n<li>Experience with databases (MongoDB, PostgreSQL) and data processing at scale</li>\n<li>Track record of working with cross-functional teams including ML engineers, researchers, and customers</li>\n<li>Strong communication skills and ability to operate with high autonomy</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with C++</li>\n<li>Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization</li>\n<li>Background in computer vision, SLAM, motion planning, or imitation learning</li>\n<li>Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing</li>\n<li>Experience with ML model deployment and serving frameworks</li>\n<li>Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces</li>\n<li>Experience with workflow orchestration systems (Temporal, Airflow)</li>\n<li>Published research or open-source contributions in robotics or autonomous systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dab43521-cfa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4618065005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$180,000-$225,000 USD","x-skills-required":["Python","TypeScript","Node.js","React","C++","ROS/ROS2","simulation environments","AV systems","distributed systems","workflow orchestration","cloud infrastructure","databases","data processing"],"x-skills-preferred":["robotics hardware platforms","computer vision","SLAM","motion planning","imitation learning","autonomous vehicle data","lidar technologies","3D data processing","ML model deployment","serving frameworks","teleoperation systems","VR interfaces","workflow orchestration systems"],"datePosted":"2026-04-18T15:59:33.174Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, React, C++, ROS/ROS2, simulation environments, AV systems, distributed systems, workflow orchestration, cloud infrastructure, databases, data processing, robotics hardware platforms, computer vision, SLAM, motion planning, imitation learning, autonomous vehicle data, lidar technologies, 3D data processing, ML model deployment, serving frameworks, teleoperation systems, VR interfaces, workflow orchestration systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ddce508-2c7"},"title":"ML Systems Engineer, Robotics","description":"<p>We&#39;re looking for an experienced ML Systems Engineer to join our Physical AI team. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Build &amp; Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.</li>\n<li>Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.</li>\n<li>Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.</li>\n<li>Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.</li>\n<li>Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.</li>\n<li>Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.</li>\n<li>Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).</li>\n<li>Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).</li>\n<li>Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.</li>\n<li>Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).</li>\n<li>IaC: Familiarity with infrastructure as code (e.g., Terraform).</li>\n<li>Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.</li>\n</ul>\n<p>Nice to Haves:</p>\n<ul>\n<li>Exposure to Vision-Language-Action (VLA) models.</li>\n<li>Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).</li>\n<li>Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6ddce508-2c7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4663053005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$227,200-$284,000 USD","x-skills-required":["Machine Learning","Backend Systems","Cloud Environments","GPU-Level Algorithm Optimizations","Systems-Level Languages","Containerization","Orchestration","Cloud Providers","Infrastructure as Code"],"x-skills-preferred":["Vision-Language-Action Models","High-Performance Video Processing","3D Data Handling","Robotics Middleware","AV Data Formats"],"datePosted":"2026-04-18T15:59:25.195Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Backend Systems, Cloud Environments, GPU-Level Algorithm Optimizations, Systems-Level Languages, Containerization, Orchestration, Cloud Providers, Infrastructure as Code, Vision-Language-Action Models, High-Performance Video Processing, 3D Data Handling, Robotics Middleware, AV Data Formats","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":227200,"maxValue":284000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5148e11a-96e"},"title":"Customer Success Manager, Beneficial Deployments, EMEA","description":"<p>Join Anthropic&#39;s Customer Success team as an EMEA Based Customer Success Manager supporting our Beneficial Deployments initiatives.</p>\n<p>In this role, you&#39;ll apply enterprise-grade customer success practices to partnerships with mission-driven organisations. Anthropic&#39;s Beneficial Deployments team is focused on building AI for good through partnerships with high-impact organisations across education, public health, life sciences, economic mobility, and more.</p>\n<p>As the dedicated Customer Success Manager, you&#39;ll be the strategic partner and trusted advisor across EMEA - helping them harness Claude&#39;s full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code to amplify their social impact across program delivery, research, fundraising, and operations.</p>\n<p>You&#39;ll develop genuine partnerships with organisations, gaining a deep understanding of their mission, strategic objectives, programmatic goals, and technical capacity. Drawing on your social impact expertise, business acumen, and technical knowledge, you&#39;ll serve as a strategic advisor throughout their journey,helping them identify the right Claude capabilities for their specific objectives while providing best practices tailored to the unique constraints of the social sector.</p>\n<p>Your role focuses on helping nonprofit organisations scale their AI adoption effectively, implement change management strategies suited to mission-driven cultures, optimise use cases for maximum social impact, and demonstrate value that supports continued investment and expansion.</p>\n<p>As one of our early CSMs in EMEA, you&#39;ll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic&#39;s brand in a high-growth market. You&#39;ll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build trusting, strategic relationships with nonprofit leaders, program officers, and mission-driven stakeholders to understand their organisational goals, programmatic needs, and social impact objectives, identifying opportunities for optimisation and expanded AI deployment</li>\n</ul>\n<ul>\n<li>Become an expert in Anthropic&#39;s products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions</li>\n</ul>\n<ul>\n<li>Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realised value for the customer</li>\n</ul>\n<ul>\n<li>Monitor usage patterns and proactively drive adoption,identifying optimisation opportunities, addressing underutilisation across consumption-based (API) and seat-based products, and discovering new applications for Claude across departments and workflows</li>\n</ul>\n<ul>\n<li>Create and maintain customer enablement resources ,identifying opportunities to develop scalable assets that drive efficiency across the partner portfolio</li>\n</ul>\n<ul>\n<li>Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socialising Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs</li>\n</ul>\n<ul>\n<li>Document and quantify value realised through social impact outcomes, program effectiveness metrics, cost savings, and mission amplification to build compelling cases for continued investment in AI</li>\n</ul>\n<ul>\n<li>Own the partnership experience across the organisation&#39;s lifecycle,managing comprehensive account and success plans grounded in the organisation&#39;s mission and social impact objectives, conducting Quarterly Impact Reviews that demonstrate measurable impact, and serving as the primary conduit between the organisation and Anthropic</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5148e11a-96e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5153511008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£125,000-£165,000 GBP","x-skills-required":["customer success","AI","machine learning","social impact","nonprofit organisations","change management","strategic planning","project management","communication","problem-solving"],"x-skills-preferred":["French","German","Spanish","Italian"],"datePosted":"2026-04-18T15:59:21.767Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"customer success, AI, machine learning, social impact, nonprofit organisations, change management, strategic planning, project management, communication, problem-solving, French, German, Spanish, Italian","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1c4de3ab-a58"},"title":"Machine Learning Engineer, Global Public Sector","description":"<p>We&#39;re hiring a Machine Learning Engineer to bridge the gap between frontier research and real-world impact. As a key member of our GPS Engineering team, you will lead the charge in research into Agent design, Deep Research and AI Safety/reliability, developing novel methodologies that not only power public sector applications but set new standards across the entire Scale organisation.</p>\n<p>Your mission is threefold:</p>\n<ul>\n<li>Frontier Research &amp; Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).</li>\n<li>Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.</li>\n<li>Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.</li>\n</ul>\n<p>You will:</p>\n<ul>\n<li>Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks.</li>\n<li>Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.</li>\n<li>Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.</li>\n<li>Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.</li>\n<li>Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.</li>\n<li>Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.</li>\n</ul>\n<p>Ideally, you’d have:</p>\n<ul>\n<li>Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.</li>\n<li>Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).</li>\n<li>Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.</li>\n<li>Safety Expertise: Experience in alignment, robustness, or interpretability research.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience with large-scale distributed training on massive clusters.</li>\n<li>Experience in building agentic systems that are reliable.</li>\n<li>Experience in Sovereign AI or working with highly regulated data environments.</li>\n<li>A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1c4de3ab-a58","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4413274005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Deep Learning","PyTorch","JAX","AI Safety","Alignment","Robustness","Interpretability"],"x-skills-preferred":["Large-scale Distributed Training","Agentic Systems","Sovereign AI","Regulated Data Environments"],"datePosted":"2026-04-18T15:59:21.005Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doha, Qatar; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Deep Learning, PyTorch, JAX, AI Safety, Alignment, Robustness, Interpretability, Large-scale Distributed Training, Agentic Systems, Sovereign AI, Regulated Data Environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d6fc00c5-564"},"title":"Software Engineer, Robotics","description":"<p>We&#39;re seeking a skilled Software Engineer to join our Robotics business unit, focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. As a key contributor, you&#39;ll own and architect large-scale data processing pipelines, build ML training and fine-tuning pipelines, and develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation.</p>\n<p>In this role, you&#39;ll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You&#39;ll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.</p>\n<p>To succeed, you&#39;ll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.</p>\n<p>We&#39;re looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d6fc00c5-564","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4612282005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript/Node.js","React","Concurrent and real-time systems","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing at large scale"],"x-skills-preferred":["C++","Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment and serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:59:19.712Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina; Uruguay"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript/Node.js, React, Concurrent and real-time systems, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing at large scale, C++, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment and serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f6f3674-ac6"},"title":"Director, Enterprise Machine Learning & Research","description":"<p>The Enterprise ML team at Scale works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale&#39;s proprietary research, data, and infrastructure.</p>\n<p>As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.</p>\n<p>This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives</li>\n<li>Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution</li>\n<li>Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes</li>\n<li>Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally</li>\n<li>Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent</li>\n</ul>\n<p>Core qualifications include:</p>\n<ul>\n<li>8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains</li>\n<li>A strong track record of research excellence, including publications in top-tier ML/AI venues</li>\n<li>Experience leading or managing research teams</li>\n<li>Excellent written and verbal communication skills</li>\n</ul>\n<p>Nice-to-have qualifications include:</p>\n<ul>\n<li>Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments</li>\n<li>Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale</li>\n<li>Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes</li>\n</ul>\n<p>Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0f6f3674-ac6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4679727005","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$289,800-$362,250 USD","x-skills-required":["machine learning","deep learning","generative models","agent/RL systems","research leadership","team management","communication","public speaking","writing","open-source contributions"],"x-skills-preferred":["hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments","prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale","proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes"],"datePosted":"2026-04-18T15:59:19.457Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, generative models, agent/RL systems, research leadership, team management, communication, public speaking, writing, open-source contributions, hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale, proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":289800,"maxValue":362250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_130450d3-e02"},"title":"Analytics Lead, GenAI Marketplace","description":"<p>We&#39;re looking for an experienced Senior Data Analyst to join our Growth Operations team. As a key member of our team, you will partner with leadership, operators, and engineers to help unpack ambiguous problems and build lasting, scalable analytics solutions.</p>\n<p>Your work will directly evolve how we operate and measure our growth strategies, funnels, and pipelines. You will be responsible for building scalable data assets, adding contextual layers to data, and providing insights and conclusions to stakeholders.</p>\n<p>To succeed in this role, you will need to be detail-oriented, rigorous about validating results, and talented at distilling down complexity. You will also need to love tackling and solving hard problems.</p>\n<p>In addition to building scalable data assets, you will also be responsible for partnering with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps.</p>\n<p>If you have 3+ years of industry experience in a highly analytical role, a degree in a quantitative field, and expert-level proficiency in writing complex SQL queries, we encourage you to apply.</p>\n<p>As a Senior Data Analyst at Scale, you will have the opportunity to work with a talented team of professionals and contribute to the development of reliable AI systems for the world&#39;s most important decisions.</p>\n<p>The ideal candidate will have excellent communication and presentation skills to executives, expertise at defining the right metrics, and diagnosing and understanding data inconsistencies.</p>\n<p>Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors.</p>\n<p>You&#39;ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_130450d3-e02","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4631695005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000-$230,000 USD","x-skills-required":["SQL","Tableau","Python","Data analysis","Data visualization"],"x-skills-preferred":["Machine learning","Deep learning","Cloud computing"],"datePosted":"2026-04-18T15:59:17.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Tableau, Python, Data analysis, Data visualization, Machine learning, Deep learning, Cloud computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_150ca1e8-f29"},"title":"Research Economist, Economic Research","description":"<p>As a Research Economist at Anthropic, you will work to measure and understand AI&#39;s effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.</p>\n<p>Our team combines rigorous empirical methods with novel measurement approaches. We&#39;re building first-of-its-kind datasets tracking AI&#39;s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives</li>\n</ul>\n<ul>\n<li>Design and conduct empirical research on AI&#39;s economic effects, drawing on external data sources and the privacy-preserving measurement systems internally</li>\n</ul>\n<ul>\n<li>Develop new methodological approaches for studying AI&#39;s impact on:</li>\n</ul>\n<ul>\n<li>Labor markets and the future of work</li>\n</ul>\n<ul>\n<li>Productivity and task transformation</li>\n</ul>\n<ul>\n<li>Economic inequality and displacement</li>\n</ul>\n<ul>\n<li>Industry-specific disruption and adaptation</li>\n</ul>\n<ul>\n<li>Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios</li>\n</ul>\n<ul>\n<li>Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions</li>\n</ul>\n<ul>\n<li>Build and maintain relationships with academic institutions, policy think tanks, and other research partners</li>\n</ul>\n<ul>\n<li>Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection</li>\n</ul>\n<ul>\n<li>Translate research insights into actionable recommendations for both product decisions and policy discussions</li>\n</ul>\n<ul>\n<li>Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders</li>\n</ul>\n<p>You May Be a Good Fit If You Have:</p>\n<ul>\n<li>PhD in Economics</li>\n</ul>\n<ul>\n<li>Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning</li>\n</ul>\n<ul>\n<li>Experience relevant to the study of AI’s impact on the economy, including:</li>\n</ul>\n<ul>\n<li>Labor market analysis and occupational change</li>\n</ul>\n<ul>\n<li>Task-based approaches to technological transformation</li>\n</ul>\n<ul>\n<li>Large-scale data analysis and econometric methods</li>\n</ul>\n<ul>\n<li>Large language models for social science research</li>\n</ul>\n<ul>\n<li>Policy-relevant economic research</li>\n</ul>\n<ul>\n<li>Experimental and quasi-experimental methods for causal inference</li>\n</ul>\n<ul>\n<li>Macroeconomic modeling and time series forecasting</li>\n</ul>\n<ul>\n<li>Agent-based modeling or large-scale simulation</li>\n</ul>\n<ul>\n<li>Technical skills including:</li>\n</ul>\n<ul>\n<li>Proficiency in Python, R, SQL, or similar tools for large-scale data analysis</li>\n</ul>\n<ul>\n<li>Experience working with novel datasets and measurement systems</li>\n</ul>\n<ul>\n<li>Comfort learning new technical tools and frameworks</li>\n</ul>\n<ul>\n<li>Demonstrated ability to:</li>\n</ul>\n<ul>\n<li>Lead complex research projects from conception to publication</li>\n</ul>\n<ul>\n<li>Communicate technical findings to diverse audiences</li>\n</ul>\n<ul>\n<li>Build relationships across academic, policy, and industry communities</li>\n</ul>\n<ul>\n<li>Strong interest in ensuring AI development benefits humanity</li>\n</ul>\n<ul>\n<li>Comfort working with AI systems and ability to think critically about their capabilities and limitations</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_150ca1e8-f29","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5018472008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["PhD in Economics","Empirical research","Econometrics","Machine learning","Structural estimation","Python","R","SQL","Large-scale data analysis","Novel datasets and measurement systems","Causal inference","Macroeconomic modeling","Time series forecasting","Agent-based modeling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:14.877Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in Economics, Empirical research, Econometrics, Machine learning, Structural estimation, Python, R, SQL, Large-scale data analysis, Novel datasets and measurement systems, Causal inference, Macroeconomic modeling, Time series forecasting, Agent-based modeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5b703e8a-47c"},"title":"Robotics Engineer","description":"<p>We&#39;re looking for a talented Robotics Engineer to join our team in San Francisco. As a key contributor, you will work to build out our robotics fleet and software systems for collecting data and performing evaluations.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Developing systems for collecting data from various robotics embodiments and collection modalities</li>\n<li>Designing and building hardware for retrofitting robots and building custom collection modalities</li>\n<li>Contributing to the development of pipelines and tooling to support robotics initiatives</li>\n<li>Owning hardware and software integrations for various robots</li>\n<li>Partnering with cross-functional stakeholders to scale up data services</li>\n<li>Providing technical support for data collection operations and executing on pilots to stand up new workflows</li>\n<li>Becoming a subject matter expert on all capabilities of the robotics labs</li>\n</ul>\n<p>You will have the opportunity to develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, computer vision, machine learning, and other autonomy-adjacent concepts.</p>\n<p>We&#39;re looking for someone with a strong engineering background, preferably in Computer Science, Mathematics, or other Engineering fields. You should have 3+ years of experience developing with Python, C++, Java and/or other scripting language, as well as 1-3 years of experience in hardware labs or a manufacturing environment, 1-3 years of experience in mechanical design and comfort with CAD, hands-on experience in robotics, AI, and computer vision, experience building and/or maintaining lab networks and data pipelines, experience running large-scale data collection and controlled experiments, experience managing risk and operating robots safely, strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership.</p>\n<p>As a Robotics Engineer at Scale, you will have the opportunity to work with a talented team of engineers and researchers to develop cutting-edge robotics solutions. You will be responsible for designing, building, and testing robotics systems, as well as collaborating with cross-functional teams to integrate robotics into our data collection and analysis pipeline.</p>\n<p>We offer a competitive salary range of $208,800-$261,000 USD, as well as a comprehensive benefits package, including health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5b703e8a-47c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4655744005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$208,800-$261,000 USD","x-skills-required":["Python","C++","Java","Mechanical design","CAD","Robotics","AI","Computer vision","Machine learning","Data pipelines","Lab networks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:13.725Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, Java, Mechanical design, CAD, Robotics, AI, Computer vision, Machine learning, Data pipelines, Lab networks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":208800,"maxValue":261000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_46488746-59d"},"title":"Technical Program Management, Alignment","description":"<p>Own 3–4 special projects at a time, driving model evaluation projects end-to-end, managing external research collaborators, synthesizing complex information, identifying new projects, and running team offsites.</p>\n<p>This role requires 5+ years of experience in chief-of-staff, program management, operations, or similar roles in a research, technical, or fast-moving environment.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Scope, plan, and drive model evaluation projects end-to-end</li>\n<li>Manage external research collaborators</li>\n<li>Synthesize complex information into decision-relevant inputs for leadership</li>\n<li>Identify new projects the company should take on</li>\n<li>Run the Alignment team offsite and similar events</li>\n</ul>\n<p>Strong candidates may also have experience working directly with researchers, especially in AI safety or machine learning, and familiarity with the AI safety research landscape, key organizations, and ongoing debates.</p>\n<p>Annual compensation range: $210,000-$290,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_46488746-59d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5187208008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$210,000-$290,000 USD","x-skills-required":["chief-of-staff","program management","operations","research","technical","fast-moving environment","model evaluation","external research collaborators","complex information synthesis","project identification","team offsite management"],"x-skills-preferred":["AI safety","machine learning","AI safety research landscape","key organizations","ongoing debates"],"datePosted":"2026-04-18T15:59:10.810Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"chief-of-staff, program management, operations, research, technical, fast-moving environment, model evaluation, external research collaborators, complex information synthesis, project identification, team offsite management, AI safety, machine learning, AI safety research landscape, key organizations, ongoing debates","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d4c3fc5-2ed"},"title":"Senior Software Engineer, Inference","description":"<p>About the role:</p>\n<p>Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p>\n<p>The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.</p>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>High-performance, large-scale distributed systems</li>\n<li>Implementing and deploying machine learning systems at scale</li>\n<li>Load balancing, request routing, or traffic management systems</li>\n<li>LLM inference optimization, batching, and caching strategies</li>\n<li>Kubernetes and cloud infrastructure (AWS, GCP)</li>\n<li>Python or Rust</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have significant software engineering experience, particularly with distributed systems</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Want to learn more about machine learning systems and infrastructure</li>\n<li>Thrive in environments where technical excellence directly drives both business results and research breakthroughs</li>\n<li>Care about the societal impacts of your work</li>\n</ul>\n<p>Representative projects across the org:</p>\n<ul>\n<li>Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators</li>\n<li>Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads</li>\n<li>Building production-grade deployment pipelines for releasing new models to millions of users</li>\n<li>Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage</li>\n<li>Contributing to new inference features (e.g., structured sampling, prompt caching)</li>\n<li>Supporting inference for new model architectures</li>\n<li>Analyzing observability data to tune performance based on real-world production workloads</li>\n<li>Managing multi-region deployments and geographic routing for global customers</li>\n</ul>\n<p>Annual compensation range for this role is €235,000-€295,000 EUR.</p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</p>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7d4c3fc5-2ed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4641822008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€235,000-€295,000 EUR","x-skills-required":["High-performance, large-scale distributed systems","Implementing and deploying machine learning systems at scale","Load balancing, request routing, or traffic management systems","LLM inference optimization, batching, and caching strategies","Kubernetes and cloud infrastructure (AWS, GCP)","Python or Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:09.302Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"High-performance, large-scale distributed systems, Implementing and deploying machine learning systems at scale, Load balancing, request routing, or traffic management systems, LLM inference optimization, batching, and caching strategies, Kubernetes and cloud infrastructure (AWS, GCP), Python or Rust","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":235000,"maxValue":295000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c21777cd-f0b"},"title":"Customer Programs Manager, Customer Advisory Boards","description":"<p><strong>About the Role</strong></p>\n<p>This is a Customer Programs Manager position within the Enterprise Marketing department at Anthropic. The successful candidate will establish and lead the Customer Programs function, responsible for engaging with strategic customers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the Customer Programs function, defining the strategy, hiring the team, and establishing the operating model with PMM, Strategic Events, Solutions, ABM, and Sales leadership.</li>\n<li>Serve as the single accountable owner to the CCO and Sales leadership for Customer Advisory Boards and executive customer engagement.</li>\n<li>Own the governed strategic-account audience, maintaining a named list of executives and decision-makers across lighthouse accounts.</li>\n<li>Design and run the portfolio of high-touch customer programs, including CAB charter and membership, EBC intake and programming, early access customer selection and feedback loops, co-marketing fund deployment, and customer reference and speaker bench.</li>\n<li>Act as the voice of strategic customers inside Anthropic, bringing their priorities and feedback into Product, GTM, and leadership forums.</li>\n<li>Coordinate the asks made of top customers across the company to ensure intentional engagement.</li>\n<li>Own reporting on account coverage, engagement depth, and program-influenced expansion to Sales and Marketing leadership.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years in B2B enterprise marketing, customer marketing, or executive programs, including 4+ years leading a team.</li>\n<li>Built or significantly scaled an executive customer programs function at a high-growth enterprise technology company.</li>\n<li>Demonstrated executive presence with Fortune 500 C-suite and VP-level customers.</li>\n<li>Experience designing programs from an audience-first model.</li>\n<li>Strong cross-functional operating skills.</li>\n<li>Comfort owning a number.</li>\n<li>Clear written and verbal communication.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The annual compensation range for this role is $255,000-$320,000 USD.</p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.</li>\n<li>Visa sponsorship: We do sponsor visas!</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our careers page.</p>\n<p><strong>What We Offer</strong></p>\n<p>At Anthropic, we believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c21777cd-f0b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5189047008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$320,000 USD","x-skills-required":["Customer Programs Management","Strategic Account Management","Executive Presence","Cross-Functional Operating Skills","Program Design and Implementation"],"x-skills-preferred":["AI Research","Machine Learning","Data Science","Cloud Computing"],"datePosted":"2026-04-18T15:59:08.788Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Customer Programs Management, Strategic Account Management, Executive Presence, Cross-Functional Operating Skills, Program Design and Implementation, AI Research, Machine Learning, Data Science, Cloud Computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d71bfd7-723"},"title":"Partner Solutions Architect, Applied AI","description":"<p>As a Partner Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP).</p>\n<p>You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.</li>\n</ul>\n<ul>\n<li>Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.</li>\n</ul>\n<ul>\n<li>Partner Ecosystem &amp; Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.</li>\n</ul>\n<p>Product Feedback: Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.</p>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager</li>\n</ul>\n<ul>\n<li>Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong presentation &amp; technical communication skills with the ability to translate requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5d71bfd7-723","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5112486008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["technical customer-facing/partner-facing roles","Solutions Architect","Sales Engineer","Partner Sales Engineer","Technical Account Manager","cloud providers","scalable cloud architectures","enterprise systems","LLM frameworks","machine learning","data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:03.769Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical customer-facing/partner-facing roles, Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager, cloud providers, scalable cloud architectures, enterprise systems, LLM frameworks, machine learning, data science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2717510f-5f6"},"title":"Transaction Principal","description":"<p>As a Transaction Principal for Europe at Anthropic, you&#39;ll drive the commercial sourcing and transaction execution process for our European data center capacity deals. You&#39;ll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.</p>\n<p>This role is critical to securing the infrastructure that powers Anthropic&#39;s frontier AI systems across Europe , you&#39;ll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets</li>\n<li>Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic&#39;s technical and business requirements while maintaining strong developer partnerships</li>\n<li>Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure</li>\n<li>Serve as project manager for cross-functional stakeholder engagement , coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution</li>\n<li>Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status</li>\n<li>Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure</li>\n<li>Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms</li>\n<li>Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly</li>\n<li>Marry the right projects, capital stacks, and developers at the right stages</li>\n<li>Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets</li>\n<li>Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region</li>\n<li>Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement</li>\n<li>Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution</li>\n<li>Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements</li>\n<li>Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously</li>\n<li>Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions</li>\n<li>Have experience working in or across European markets, with knowledge of the regional data center and development landscape , including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe</li>\n<li>Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures</li>\n<li>Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives</li>\n<li>Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution</li>\n<li>Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners</li>\n</ul>\n<p>It&#39;s a bonus if you:</p>\n<ul>\n<li>Have experience with data center or hyperscale infrastructure transactions specifically</li>\n<li>Come from the development side of the industry rather than traditional brokerage/leasing , you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)</li>\n<li>Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity</li>\n<li>Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions</li>\n<li>Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations)</li>\n<li>Have familiarity with data sovereignty and regulatory considerations that influence European site selection</li>\n<li>Have relationships within the European data center developer, operator, and broker ecosystem</li>\n<li>Have a background in corporate development, strategic partnerships, or infrastructure investment</li>\n<li>Have experience in high-growth technology companies managing infrastructure expansion</li>\n</ul>\n<p>Annual compensation range for this role is £225,000-£270,000 GBP.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2717510f-5f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5170084008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000-£270,000 GBP","x-skills-required":["transaction management","commercial real estate","data center leasing","infrastructure procurement","RFP processes","competitive sourcing","project management","negotiation skills","term sheets","LOIs","commercial agreements","cross-functional stakeholder engagement","due diligence teams","legal counsel","network organization","platform engineers","finance","auxiliary organizations","networks","deployments","government relations","transaction timelines","critical-path items","risks","technical and operational needs","contractual terms","digital infrastructure development","construction-ready state","projects","capital stacks","developers","country-specific permitting","grid connection","regulatory requirements","transaction processes","playbooks","scalable deal execution","Europe market strategy","Compute Markets Manager","market prioritization","site prioritization","counterparty prioritization","deal learnings"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:03.320Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"transaction management, commercial real estate, data center leasing, infrastructure procurement, RFP processes, competitive sourcing, project management, negotiation skills, term sheets, LOIs, commercial agreements, cross-functional stakeholder engagement, due diligence teams, legal counsel, network organization, platform engineers, finance, auxiliary organizations, networks, deployments, government relations, transaction timelines, critical-path items, risks, technical and operational needs, contractual terms, digital infrastructure development, construction-ready state, projects, capital stacks, developers, country-specific permitting, grid connection, regulatory requirements, transaction processes, playbooks, scalable deal execution, Europe market strategy, Compute Markets Manager, market prioritization, site prioritization, counterparty prioritization, deal learnings","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_057b8651-835"},"title":"AI Strategy Consultant, Frontier Tech","description":"<p>As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards.</p>\n<p>Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis.</p>\n<p>You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.</p>\n<p>The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills.</p>\n<p>We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes.</p>\n<p>If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and execute research experiments</li>\n<li>Build and evaluate frontier LLM datasets</li>\n<li>Develop training and testing material for frontier pipelines</li>\n<li>Improve quality of existing and new products</li>\n</ul>\n<p>Ideally you’d have:</p>\n<ul>\n<li>Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated</li>\n<li>Strong writing and verbal communication skills</li>\n<li>An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results</li>\n<li>Analytical, planning, and process improvement capability</li>\n<li>Experience working in a fast-paced, entrepreneurial environment</li>\n<li>Technical skills including familiarity with Python, GPU, AWS, API, LLM, ML, and SQL</li>\n</ul>\n<p>Pay: $60-80/hr</p>\n<p>Commitment: This is a fully remote, US-based part-time (10-20 hours per week), on-going contract position staffed via HireArt.</p>\n<p>HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas, including CPT/OPT or employ corp-to-corp.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_057b8651-835","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4472223005","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"contract","x-salary-range":"$60-80/hr","x-skills-required":["Python","GPU","AWS","API","LLM","ML","SQL"],"x-skills-preferred":["Machine Learning","Data Analysis","Problem Solving"],"datePosted":"2026-04-18T15:59:01.983Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, GPU, AWS, API, LLM, ML, SQL, Machine Learning, Data Analysis, Problem Solving"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_395d7f4a-0db"},"title":"Corporate Counsel (Marketing)","description":"<p>Our mission at Duolingo is to develop the best education in the world and make it universally available. We&#39;re looking for a Corporate Counsel (Marketing) to be a legal partner to our Marketing team. You will advise on marketing and advertising initiatives across channels, ensuring our campaigns are compliant, creatively bold, and executed at pace.</p>\n<p>You&#39;ll review and negotiate marketing agreements, clear rights for content, establish practical guardrails, and help teams move fast while managing risk. You&#39;ll work closely with cross-functional partners and outside counsel when needed, and contribute to lightweight processes and templates that scale with our marketing engine.</p>\n<p>You will:</p>\n<p>Serve as day-to-day legal advisor to Marketing on campaigns, social content, creator programs, experiential activations, and press moments , helping teams ship on time with clear, practical guidance.</p>\n<p>Review and negotiate marketing agreements, including talent/influencer contracts, production SOWs, vendor/MSAs, licensing, NDAs, and promotional terms; create and improve templates and playbooks to increase speed and consistency.</p>\n<p>Own rights and clearances for marketing assets, and advise on usage windows, territories, and platforms; partner with stakeholders to avoid takedowns and disputes.</p>\n<p>Advise on advertising and consumer protection laws (e.g., endorsements/disclosures, substantiation, contests/sweepstakes), and maintain guardrails that enable bold but compliant creative.</p>\n<p>Track and socialize updates to relevant regulations and platform policies; run brief trainings for marketers and creators on disclosures, usage rights, and brand safety.</p>\n<p>Assist in other legal matters depending on interest and need.</p>\n<p>You have:</p>\n<p>J.D. (or international equivalent) and active bar membership in good standing.</p>\n<p>4-8+ years of relevant legal experience (e.g., clerkship, law firm, in-house), including familiarity with multiple relevant areas of law (e.g., copyright, trademark, right of publicity and NIL, advertising, claim substantiation) and experience advising on marketing and advertising campaigns, including social media.</p>\n<p>Strong contract drafting/negotiation skills across talent/influencer, production, licensing, and vendor agreements; comfort balancing risk with business goals and speed.</p>\n<p>Clear, concise communication tailored to creative and non-legal stakeholders; ability to give actionable guidance and explain trade-offs under tight timelines.</p>\n<p>Proven cross-functional partnership and judgment in fast-moving environments; ability to prioritize, create lightweight processes, and keep teams unblocked.</p>\n<p>Ability to work from or relocate to Pittsburgh, PA.</p>\n<p>Exceptional candidates will have:</p>\n<p>Strong interest in Duolingo and its mission.</p>\n<p>Deep familiarity with social media marketing including working with social media agencies, particularly outside the United States.</p>\n<p>Experience handling marketing-related disputes.</p>\n<p>Experience with contests, sweepstakes, or promotional offers.</p>\n<p>Experience working in the music or entertainment industry.</p>\n<p>Interest in learning new areas of law and how they interact with new technologies such as targeted advertising, globalization, social media, and generative AI.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_395d7f4a-0db","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Duolingo","sameAs":"https://www.duolingo.com/","logo":"https://logos.yubhub.co/duolingo.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/duolingo/jobs/8504399002","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$153,000-$207,000 USD","x-skills-required":["JD","active bar membership","relevant legal experience","contract drafting","negotiation skills","copyright","trademark","right of publicity and NIL","advertising","claim substantiation"],"x-skills-preferred":["social media marketing","working with social media agencies","handling marketing-related disputes","contests","sweepstakes","promotional offers","music or entertainment industry","learning new areas of law"],"datePosted":"2026-04-18T15:58:58.413Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pittsburgh, PA"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"JD, active bar membership, relevant legal experience, contract drafting, negotiation skills, copyright, trademark, right of publicity and NIL, advertising, claim substantiation, social media marketing, working with social media agencies, handling marketing-related disputes, contests, sweepstakes, promotional offers, music or entertainment industry, learning new areas of law","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":153000,"maxValue":207000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f931591c-87a"},"title":"Research Scientist, Frontier Risk Evaluations","description":"<p>As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems.</p>\n<p>For example, you might do any or all of the following:</p>\n<ul>\n<li>Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;</li>\n</ul>\n<ul>\n<li>Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;</li>\n</ul>\n<ul>\n<li>Publish evaluation methodologies and write technical reports for policymakers.</li>\n</ul>\n<p>We are seeking talented researchers to join us in shaping this vision.</p>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n</ul>\n<ul>\n<li>Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;</li>\n</ul>\n<ul>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n</ul>\n<ul>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills to operate in a cross-functional team.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;</li>\n</ul>\n<ul>\n<li>Experience with red-teaming or adversarial testing of AI systems;</li>\n</ul>\n<ul>\n<li>Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).</li>\n</ul>\n<p>Our research interviews are crafted to assess candidates&#39; skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f931591c-87a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4677657005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["machine learning","generative AI","ML pipelines","evaluation harnesses","AI safety policy frameworks"],"x-skills-preferred":["crafting evaluations and benchmarks","data science roles related to LLM technologies","red-teaming or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:58:57.212Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, generative AI, ML pipelines, evaluation harnesses, AI safety policy frameworks, crafting evaluations and benchmarks, data science roles related to LLM technologies, red-teaming or adversarial testing of AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2da35265-f56"},"title":"Machine Learning Research Engineer - Robotics","description":"<p>We&#39;re seeking a Machine Learning Research Engineer to join our Robotics business unit. As a key contributor, you&#39;ll conduct applied research in Robotics and develop ML pipelines for training and fine-tuning on data collected by Scale. In this role, you&#39;ll advance Robotic research, shape Scale&#39;s robotics offerings, and expand the frontier of Robotics data and model evaluation.</p>\n<p>Key responsibilities include: Collaborating closely with Robotics customers to drive the industry forward in using VLA data Developing ML pipelines to train/fine-tune models using Scale&#39;s data Conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning Developing novel methods for evaluating VLA models, including new robotics industry benchmarks Partnering with cross-functional stakeholders and Scale&#39;s customers to improve data collection Collaborating with product teams to bring ML outcomes to Scale&#39;s platform</p>\n<p>You&#39;ll have: Practical experience building training VLA models and/or building robotics data 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models PhD or equivalent experience in Machine Learning or Robotics A track record of published research in robotics Experience conducting data collection and performing evaluations Strong written and verbal communication skills and the ability to work with cross-functional teams and customers Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy</p>\n<p>Nice to haves: Experience working with robotics hardware platforms (robotic arms, perception systems, etc.) Experience deploying machine learning models on robotic systems in the field Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2da35265-f56","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4600908005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$248,800-$311,000 USD","x-skills-required":["Machine Learning","Robotics","Computer Vision","Embodied AI","Sim-to-Real","Imitation Learning","Reinforcement Learning","Vision Language Actions Models"],"x-skills-preferred":["Robotics Hardware Platforms","Deploying Machine Learning Models","Teleoperated or Human-Driven Data"],"datePosted":"2026-04-18T15:58:56.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Robotics, Computer Vision, Embodied AI, Sim-to-Real, Imitation Learning, Reinforcement Learning, Vision Language Actions Models, Robotics Hardware Platforms, Deploying Machine Learning Models, Teleoperated or Human-Driven Data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":248800,"maxValue":311000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_714b56e4-2cb"},"title":"Strategic Projects Lead - Coding","description":"<p>We&#39;re looking for a Strategic Projects Lead to lead initiatives that will drive $XXM+ in new revenue for our Generative AI business unit. As a key member of our Gen AI Operations team, you will be responsible for overseeing customer pipelines, designing data taxonomy, building pipeline infrastructure, training and coaching teams, and partnering with stakeholders to drive advancements for the largest LLMs in the world.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Serving as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins</li>\n<li>Understanding customer requirements and designing data taxonomy best suited to improving model performance based on customer needs</li>\n<li>Building out pipeline infrastructure to ensure quality and efficiency</li>\n<li>Training, coaching, and managing dynamic and global teams</li>\n<li>Building analytics to make data-driven decisions</li>\n<li>Partnering with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world</li>\n</ul>\n<p>You will have:</p>\n<ul>\n<li>A strong technical background, with a degree in Machine Learning Engineering, Computer Science, or Software Engineering</li>\n<li>3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE</li>\n<li>Strong problem-solving capabilities in technical environments, with the ability to come up with creative solutions to complex, ambiguous, operational, and technical problems</li>\n<li>Entrepreneurial experience and mindset, with a passion for building things from scratch and identifying issues and executing quickly</li>\n</ul>\n<p>Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_714b56e4-2cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4664232005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning Engineering","Computer Science","Software Engineering","SQL","Python","Data Analytics"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:53.295Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning Engineering, Computer Science, Software Engineering, SQL, Python, Data Analytics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ad92e450-7c6"},"title":"AI Product Manager, Insights","description":"<p>We&#39;re seeking a highly analytical and strategic thinker to take ownership of our model evaluation analysis and insight generation. As an AI Product Manager, Insights, you will be responsible for creating model evaluation from initial hypothesis to final publication, going beyond aggregate metrics to deeply analyse why the model failed and identifying semantic patterns, edge cases, and systemic hallucinations in raw model outputs.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning the creation of model evaluation from initial hypothesis, data scraping to final publication.</li>\n<li>Deeply analysing why the model failed and identifying semantic patterns, edge cases, and systemic hallucinations in raw model outputs.</li>\n<li>Reviewing raw data sets, meeting transcripts, and research notes to identify the &#39;so what&#39; and turning these findings into a logical hierarchy.</li>\n<li>Acting as the bridge between the data and the narrative by structuring findings into a logical hierarchy where the most critical &#39;hook&#39; lands first, followed by the supporting evidence.</li>\n</ul>\n<p>As a successful candidate, you will have 5-10 years of experience in DS, ML, AI research and analysis, be a structured thinker, have a high tolerance for ambiguity, and possess executive presence. Experience in Model Evaluation, ML Engineering or Technical Research is a plus.</p>\n<p>This role offers a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $205,600-$257,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ad92e450-7c6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4651491005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$205,600-$257,000 USD","x-skills-required":["Deep Learning","Machine Learning","Artificial Intelligence","Data Analysis","Model Evaluation"],"x-skills-preferred":["ML Engineering","Technical Research"],"datePosted":"2026-04-18T15:58:52.163Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep Learning, Machine Learning, Artificial Intelligence, Data Analysis, Model Evaluation, ML Engineering, Technical Research","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":205600,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_33eb12c1-537"},"title":"Solutions Architect","description":"<p>Join our team as a Solutions Architect and play a crucial role in helping our customers solve their complex data challenges. As a key member of our Field Engineering team, you will work closely with customers to understand their needs and develop customized solutions using our Data Intelligence Platform.</p>\n<p>We&#39;re looking for someone with a strong technical background in big data analytics, who can operate as a trusted advisor to our customers. You will be responsible for developing successful relationships with clients, providing technical and business value, and scaling best practices in your field.</p>\n<p>As a Solutions Architect, you will:</p>\n<ul>\n<li>Form successful relationships with clients throughout your assigned territory</li>\n<li>Operate as an expert in big data analytics to excite customers about Databricks</li>\n<li>Develop into a &#39;champion&#39; and trusted advisor on multiple issues of architecture, design, and implementation</li>\n<li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications</li>\n<li>Grow your knowledge and expertise to the level of a technical and/or industry specialist</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>Experience with coding in a core programming language (i.e., Python, Java, Scala)</li>\n<li>A base level in Spark</li>\n<li>A builder mindset with a passion for quick prototyping and experience in vibe coding</li>\n<li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)</li>\n<li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences</li>\n<li>Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind</li>\n</ul>\n<p>Fluency in German is a strong advantage, but not required.</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit our website.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_33eb12c1-537","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8500326002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Java","Scala","Spark","Big Data Analytics","Cloud Computing"],"x-skills-preferred":["Machine Learning","Data Science","Cloud Architecture"],"datePosted":"2026-04-18T15:58:49.054Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Scala, Spark, Big Data Analytics, Cloud Computing, Machine Learning, Data Science, Cloud Architecture"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef6605f2-fe0"},"title":"Software Engineer, Robotics","description":"<p>We&#39;re looking for a skilled Software Engineer to join our Robotics business unit. As a key contributor, you&#39;ll build production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You&#39;ll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>\n<li>Building ML training and fine-tuning pipelines using Scale&#39;s robotics data</li>\n<li>Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>\n<li>Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation</li>\n<li>Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>\n<li>Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems</li>\n<li>Strong programming skills in Python and TypeScript/Node.js for production systems</li>\n<li>Experience with React and modern frontend development for 3D interfaces</li>\n<li>Concurrent and real-time systems, with special attention to timing constraints</li>\n<li>Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)</li>\n<li>Experience with databases (MongoDB, PostgreSQL) and data processing at large scale</li>\n<li>Track record of working with cross-functional teams including ML engineers, researchers, and customers</li>\n<li>Strong communication skills and ability to operate with high autonomy</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with C++</li>\n<li>Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization</li>\n<li>Background in computer vision, SLAM, motion planning, or imitation learning</li>\n<li>Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing</li>\n<li>Experience with ML model deployment and serving frameworks</li>\n<li>Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces</li>\n<li>Experience with workflow orchestration systems (Temporal, Airflow)</li>\n<li>Published research or open-source contributions in robotics or autonomous systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ef6605f2-fe0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4655050005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","Node.js","C++","React","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing"],"x-skills-preferred":["Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment","Serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:58:47.535Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, C++, React, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment, Serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5ff592ac-9d8"},"title":"Sr. Software Engineer, Inference","description":"<p>We are seeking a Senior Software Engineer to join our Inference team, responsible for building and maintaining critical systems that serve Claude to millions of users worldwide. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models.</p>\n<p>As a Senior Software Engineer, you will be responsible for designing, implementing, and deploying large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing. You will work closely with our research team to develop new inference features and integrate new AI accelerator platforms.</p>\n<p>To succeed in this role, you should have significant software engineering experience, particularly with distributed systems, and be results-oriented with a bias towards flexibility and impact. You should also be able to pick up slack, even if it goes outside your job description, and thrive in environments where technical excellence directly drives both business results and research breakthroughs.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing</li>\n<li>Work closely with our research team to develop new inference features and integrate new AI accelerator platforms</li>\n<li>Collaborate with cross-functional teams to ensure seamless deployment and operation of our systems</li>\n<li>Analyze observability data to tune performance based on real-world production workloads</li>\n<li>Manage multi-region deployments and geographic routing for global customers</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree or equivalent combination of education, training, and/or experience</li>\n<li>Significant software engineering experience, particularly with distributed systems</li>\n<li>Results-oriented with a bias towards flexibility and impact</li>\n<li>Ability to pick up slack, even if it goes outside your job description</li>\n<li>Thrives in environments where technical excellence directly drives both business results and research breakthroughs</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with Kubernetes and cloud infrastructure (AWS, GCP)</li>\n<li>Familiarity with machine learning systems and infrastructure</li>\n<li>Strong communication and collaboration skills</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive compensation and benefits</li>\n<li>Optional equity donation matching</li>\n<li>Generous vacation and parental leave</li>\n<li>Flexible working hours</li>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p>Guidance on Candidates&#39; AI Usage: Learn about our policy for using AI in our application process</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5ff592ac-9d8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5152348008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000-£325,000 GBP","x-skills-required":["Distributed systems","Kubernetes","Cloud infrastructure","Machine learning systems","Infrastructure engineering"],"x-skills-preferred":["Python","Rust","Java","C++","Go"],"datePosted":"2026-04-18T15:58:45.382Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distributed systems, Kubernetes, Cloud infrastructure, Machine learning systems, Infrastructure engineering, Python, Rust, Java, C++, Go","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a3caae4-044"},"title":"Member of Technical Staff - Imagine Model","description":"<p>As a Member of Technical Staff on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities. Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.</p>\n<p>Key responsibilities include creating and driving engineering agendas to advance multimodal capabilities, improving data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, designing evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence, implementing efficient algorithms for state-of-the-art model performance, and developing scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.</p>\n<p>The ideal candidate will have a track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling, experience in data-driven experiment designs, systematic analysis, and iterative model debugging, experience developing or working with large-scale distributed machine learning systems, and ability to deliver optimal end-to-end user experiences.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8a3caae4-044","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5051985007","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["data curation","modeling","training","inference serving","product integration","large-scale distributed machine learning systems"],"x-skills-preferred":["SFT","RL","evals","human/synthetic data collection","agentic systems","Python","JAX/XLA","PyTorch","Rust/C++","Spark","Ray"],"datePosted":"2026-04-18T15:58:43.641Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data curation, modeling, training, inference serving, product integration, large-scale distributed machine learning systems, SFT, RL, evals, human/synthetic data collection, agentic systems, Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f86a39bf-9a5"},"title":"Solutions Architect - Digital Native Business, Strategic","description":"<p>As a Solutions Architect on the Digital Natives team, you will work with leading data engineering, data science, and ML teams to push the boundaries of what big data architectures are capable of.</p>\n<p>Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.</p>\n<p>You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.</p>\n<p>We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale.</p>\n<p>Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.</li>\n</ul>\n<ul>\n<li>Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.</li>\n</ul>\n<ul>\n<li>Continuously research &amp; learn new technologies and their implementations on Databricks.</li>\n</ul>\n<ul>\n<li>Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science, and machine learning, and SQL analysis workflows.</li>\n</ul>\n<ul>\n<li>As well as validating integrations with cloud services, home-grown tools, and other 3rd party applications.</li>\n</ul>\n<ul>\n<li>Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers.</li>\n</ul>\n<ul>\n<li>Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.</li>\n</ul>\n<ul>\n<li>Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.</li>\n</ul>\n<ul>\n<li>Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.</li>\n</ul>\n<ul>\n<li>Experience building distributed data systems.</li>\n</ul>\n<ul>\n<li>Comfortable programming in, and debugging, Python and SQL.</li>\n</ul>\n<ul>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP.</li>\n</ul>\n<ul>\n<li>Expertise in one of the following:</li>\n</ul>\n<ul>\n<li>Data Engineering technologies (Ex: Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)</li>\n</ul>\n<ul>\n<li>Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.</li>\n</ul>\n<ul>\n<li>Available to travel to customers in your region.</li>\n</ul>\n<ul>\n<li>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).</li>\n</ul>\n<ul>\n<li>Nice to have: Databricks Certification.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f86a39bf-9a5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8434467002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$247,500 USD","x-skills-required":["Data Engineering technologies","Data Science and Machine Learning technologies","Python","SQL","Cloud providers (AWS, Azure, GCP)"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:42.812Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Engineering technologies, Data Science and Machine Learning technologies, Python, SQL, Cloud providers (AWS, Azure, GCP)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":247500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cec208e5-844"},"title":"Solutions Architect, Applied AI (Digital Native Business)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<p>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</p>\n<p>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</p>\n<p>Support customers building with both the Claude API and Claude for Work</p>\n<p>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</p>\n<p>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</p>\n<p>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</p>\n<p>Identify common integration patterns and contribute insights back to our Product and Engineering teams</p>\n<p>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</p>\n<p>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</p>\n<p>You may be a good fit if you have:</p>\n<p>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</p>\n<p>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</p>\n<p>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</p>\n<p>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</p>\n<p>Experience designing scalable cloud architectures and integrating with enterprise systems</p>\n<p>Comfortable with python</p>\n<p>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</p>\n<p>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</p>\n<p>A love of teaching, mentoring, and helping others succeed</p>\n<p>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</p>\n<p>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</p>\n<p>Please note this role requires 3 days in office per week.</p>\n<p>Deadline to apply: None. Applications will be reviewed on a rolling basis.</p>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $240,000-$315,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cec208e5-844","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5065835008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$315,000 USD","x-skills-required":["Technical customer-facing roles","Enterprise customers","Complex buying cycles","Technical communication skills","Scalable cloud architectures","Python","LLM frameworks and tools","Machine learning or data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:42.551Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Enterprise customers, Complex buying cycles, Technical communication skills, Scalable cloud architectures, Python, LLM frameworks and tools, Machine learning or data science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8697757e-7b4"},"title":"Lead Robotics Software Engineer","description":"<p>As a Lead Robotics Software Engineer on our Tactical Recon &amp; Strike team, you&#39;ll be at the forefront of cutting-edge autonomous systems development. You&#39;ll tackle diverse challenges in autonomy, systems integration, robotics, and networking, making critical engineering decisions that directly impact mission success.</p>\n<p>Your role will be pivotal in ensuring Anduril&#39;s products work seamlessly together to achieve a variety of crucial outcomes. You&#39;ll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems.</p>\n<p>Contributing to the entire product lifecycle, from concept to deployment, you&#39;ll rapidly prototype and iterate on software solutions. We&#39;re looking for someone who thrives in a fast-paced environment and isn&#39;t afraid to tackle ambiguous problems. Your &#39;Whatever It Takes&#39; mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work.</p>\n<p>This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You&#39;ll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.</p>\n<p>Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms</li>\n</ul>\n<ul>\n<li>Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius</li>\n</ul>\n<ul>\n<li>Lead and mentor a group software engineers to help drive team success and to successfully hit tight project deadlines</li>\n</ul>\n<ul>\n<li>Optimize performance of existing products, primarily focused on our Altius Drone product line</li>\n</ul>\n<ul>\n<li>Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs</li>\n</ul>\n<ul>\n<li>Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field</li>\n</ul>\n<ul>\n<li>Contribute to the design and implementation of multi-agent coordination systems for UAVs</li>\n</ul>\n<ul>\n<li>Participate in the full software development lifecycle, from concept and design through testing and deployment</li>\n</ul>\n<ul>\n<li>Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Robotics, Computer Science, or related field</li>\n</ul>\n<ul>\n<li>7+ years of professional software development experience</li>\n</ul>\n<ul>\n<li>Experience as a lead of a small software engineering team</li>\n</ul>\n<ul>\n<li>Strong proficiency in C++ or Rust, with experience in Linux development environments</li>\n</ul>\n<ul>\n<li>Demonstrated expertise in data structures, algorithms, concurrency, and code optimization</li>\n</ul>\n<ul>\n<li>Proven experience troubleshooting and analyzing remotely deployed software systems</li>\n</ul>\n<ul>\n<li>Hands-on experience working with and testing electrical and mechanical systems</li>\n</ul>\n<ul>\n<li>Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and a &#39;Whatever It Takes&#39; mindset</li>\n</ul>\n<ul>\n<li>Excellent communication skills, both written and verbal</li>\n</ul>\n<ul>\n<li>Eligible to obtain and maintain an active U.S. Secret security clearance</li>\n</ul>\n<ul>\n<li>Willingness to relocate to Atlanta, GA</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)</li>\n</ul>\n<ul>\n<li>Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls</li>\n</ul>\n<ul>\n<li>Experience with performance optimization and metrics for complex robotic systems</li>\n</ul>\n<ul>\n<li>Proficiency in Python, Rust, and/or Go, in addition to C++</li>\n</ul>\n<ul>\n<li>Hands-on experience programming for embedded systems and physical devices</li>\n</ul>\n<ul>\n<li>Background in multi-agent coordination, particularly with UAVs</li>\n</ul>\n<ul>\n<li>Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)</li>\n</ul>\n<ul>\n<li>Experience with real-time operating systems and distributed computing</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning and AI applications in robotics</li>\n</ul>\n<ul>\n<li>Knowledge of sensor fusion techniques and implementation</li>\n</ul>\n<ul>\n<li>Understanding of aerodynamics and flight dynamics as applied to UAV systems</li>\n</ul>\n<ul>\n<li>Experience with simulation environments for robotics testing and development</li>\n</ul>\n<ul>\n<li>Track record of contributions to open-source robotics projects or relevant publications</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8697757e-7b4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5033836007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$252,000 USD","x-skills-required":["C++","Rust","Linux development environments","Data structures","Algorithms","Concurrency","Code optimization","Troubleshooting","Analysis","Electrical and mechanical systems"],"x-skills-preferred":["Python","Go","Embedded systems","Physical devices","Multi-agent coordination","UAVs","Frame transformation","Real-time operating systems","Distributed computing","Machine learning","AI","Sensor fusion","Aerodynamics","Flight dynamics"],"datePosted":"2026-04-18T15:58:40.280Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Rust, Linux development environments, Data structures, Algorithms, Concurrency, Code optimization, Troubleshooting, Analysis, Electrical and mechanical systems, Python, Go, Embedded systems, Physical devices, Multi-agent coordination, UAVs, Frame transformation, Real-time operating systems, Distributed computing, Machine learning, AI, Sensor fusion, Aerodynamics, Flight dynamics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":252000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_91a17cfc-0a6"},"title":"Service Delivery Trainer","description":"<p>Secure Every Identity, from AI to Human</p>\n<p>Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p>The Partner Enablement team at Okta is responsible for equipping our Field Team and Partners with the knowledge, tools, and resources needed to succeed. We create, deliver, and manage training programs that drive understanding and adoption of Okta’s innovative identity and access management solutions. Our mission is to empower every learner to maximise the value of Okta’s platform and services.</p>\n<p><strong>The Service Delivery Trainer Opportunity</strong></p>\n<p>Reporting to the Manager, GSI Enablement, this role will develop and deliver training programs to ensure seamless deployment and adoption of Okta solutions. The Service Delivery Trainer will leverage their technical enablement and deployment experience to provide our customers and partners with best-in-class training, enabling them to deploy Okta successfully.</p>\n<p><strong>What You’ll Be Doing</strong></p>\n<ul>\n<li>Delivering technical training sessions to GSI partners focused on deploying and managing Okta solutions.</li>\n<li>Designing, developing, and maintaining training materials, including presentations, hands-on labs, and virtual learning modules.</li>\n<li>Collaborating with cross-functional teams to ensure training aligns with product updates and best practices.</li>\n<li>Partnering with deployment teams to understand challenges and create targeted training programs to address skill gaps.</li>\n<li>Gathering feedback from learners to continuously improve training effectiveness and content quality.</li>\n<li>Managing logistics for training sessions, including scheduling, registration, and follow-up communications.</li>\n</ul>\n<p><strong>What You’ll Bring to the Role &amp; What We’re Looking For</strong></p>\n<ul>\n<li>5+ years of experience in technical enablement or training, preferably with a focus on SaaS or identity solutions.</li>\n<li>Hands-on experience deploying Okta or similar identity management solutions.</li>\n<li>Proven ability to design and deliver engaging, technically complex training programs to diverse audiences.</li>\n<li>Excellent communication and presentation skills with a knack for making technical topics accessible.</li>\n<li>Strong collaboration skills and the ability to work across multiple teams and functions.</li>\n<li>Familiarity with instructional design principles and adult learning methodologies.</li>\n</ul>\n<p><strong>Additional Experience That We Value</strong></p>\n<ul>\n<li>Okta certifications (e.g., Okta Certified Administrator, Okta Certified Professional).</li>\n<li>Experience with deployment tools and methodologies.</li>\n<li>Proficiency with virtual training platforms and e-learning development tools.</li>\n<li>Background in managing customer or partner onboarding programs.</li>\n<li>Experience working with global teams and scaling training programs internationally.</li>\n</ul>\n<p>#LI-Hybrid</p>\n<p>#P22580</p>\n<p>The Okta Experience</p>\n<ul>\n<li>Supporting Your Well-Being</li>\n<li>Driving Social Impact</li>\n<li>Developing Talent and Fostering Connection + Community</li>\n</ul>\n<p>We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_91a17cfc-0a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7745062","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical enablement or training","Okta or similar identity management solutions","Instructional design principles and adult learning methodologies","Virtual training platforms and e-learning development tools","Deployment tools and methodologies"],"x-skills-preferred":["Okta certifications","Experience with global teams and scaling training programs internationally","Background in managing customer or partner onboarding programs"],"datePosted":"2026-04-18T15:58:39.630Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical enablement or training, Okta or similar identity management solutions, Instructional design principles and adult learning methodologies, Virtual training platforms and e-learning development tools, Deployment tools and methodologies, Okta certifications, Experience with global teams and scaling training programs internationally, Background in managing customer or partner onboarding programs"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba66dcb1-8d9"},"title":"Research Scientist, AI Controls and Monitoring","description":"<p>We&#39;re seeking a Research Scientist to join our team focused on AI Controls and Monitoring. As a key member of our team, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments.</p>\n<p>Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.</p>\n<p>To succeed in this role, you&#39;ll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.</p>\n<p>In addition to your technical expertise, you&#39;ll need strong written and verbal communication skills to operate in a cross-functional team.</p>\n<p>This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ba66dcb1-8d9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675694005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Machine Learning","Generative AI","AI Control Protocols","AI Risk Evaluations","Runtime Monitoring","Anomaly Detection","Observability"],"x-skills-preferred":["Post-Training and RL Techniques","Scalable Oversight","Interpretability","Debate"],"datePosted":"2026-04-18T15:58:38.219Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Generative AI, AI Control Protocols, AI Risk Evaluations, Runtime Monitoring, Anomaly Detection, Observability, Post-Training and RL Techniques, Scalable Oversight, Interpretability, Debate","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1f35a9c-2e5"},"title":"Staff Data Scientist","description":"<p>We are looking for a Staff Product Data Scientist to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy.</p>\n<p>You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>\n<li>Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>\n<li>Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>\n<li>Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>\n<li>Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>\n<li>Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.</li>\n<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>\n<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>\n<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>\n<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>\n<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>\n<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>\n<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>\n<li>Experience enabling self-service analytics or citizen data science capabilities.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1f35a9c-2e5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7731595","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000-$253,000 USD","x-skills-required":["data science","machine learning","Python","SQL","statistical modeling","data engineering","analytics engineering","data analysts"],"x-skills-preferred":["high-growth SaaS","cybersecurity","identity","enterprise software"],"datePosted":"2026-04-18T15:58:37.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, machine learning, Python, SQL, statistical modeling, data engineering, analytics engineering, data analysts, high-growth SaaS, cybersecurity, identity, enterprise software","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":253000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1da2c245-26b"},"title":"Communications Lead, The Anthropic Institute","description":"<p>We are seeking an experienced communications professional to serve as a dedicated communications partner to the Head of Public Benefit. This is a rare opportunity to work alongside an executive leading some of the most consequential research of our time,work on the economic impacts of AI, the implications of self-improving systems, the changing offense and defense balance, and the societal effects of powerful AI on real people and communities.</p>\n<p>This role sits at the intersection of executive communications, brand strategy, and portfolio management. You will be the single point of contact and dedicated communications advisor for Jack Clark, managing day-to-day communications requests and strategic engagements across his full portfolio. Working closely with the Institute&#39;s communications, policy, and research teams, you will ensure that the Institute&#39;s work is coordinated, consistent, and lands with the audiences it deserves,far beyond the AI and policy communities.</p>\n<p>Key Focus Areas:</p>\n<p>Executive Communications and Brand Platform for Jack Clark</p>\n<ul>\n<li>Serve as the single point of contact and dedicated communications advisor to Jack Clark, Anthropic’s Head of Public Benefit and leader of The Anthropic Institute</li>\n<li>Lead the creation and execution of Jack’s personal brand platform, defining how he shows up across media interviews, podcasts, speaking engagements, written commentary, and social media</li>\n<li>Assist in preparing Jack for high-profile media engagements and public speaking, developing talking points, briefing materials, and post-engagement analysis</li>\n<li>Identify and secure strategic media opportunities, panel placements, and speaking engagements that advance both Jack’s platform and the Institute’s mission</li>\n</ul>\n<p>Support for Anthropic Institute Communications</p>\n<ul>\n<li>Work with communications colleagues to develop an overarching communications strategy for The Anthropic Institute, tracking key areas of work across the Economic Index, Societal Impacts Research, and beyond</li>\n<li>Work with members of the policy and editorial teams to design the Institute&#39;s publishing and content strategy, ensuring outputs reach the largest possible audience,whether through the Anthropic blog, the Institute&#39;s own site, microsites, interactive experiences, video, audio, or other formats</li>\n<li>Translate complex research across economics, societal impacts, frontier red teaming, and AI safety into compelling public narratives that reach audiences beyond the AI and policy communities</li>\n<li>Build and maintain relationships with media, researchers, and thought leaders across economics, labor, national security, and general interest outlets,not just technology press</li>\n<li>Lead communications for select Institute publications and projects</li>\n<li>Coordinate with Anthropic’s broader communications, editorial, and policy teams to keep messaging aligned while maintaining the Institute’s distinct voice and mission</li>\n</ul>\n<p>Responsibilities</p>\n<ul>\n<li>Serve as the single point of contact for Jack Clark across all communications needs, managing intake, prioritization, and day-to-day logistics for his portfolio</li>\n<li>Coordinate across the Institute’s communications team, policy team, and editorial team to ensure Jack’s priorities are represented and his voice is consistent across all external moments</li>\n<li>Lead the creation and ongoing execution of Jack’s brand platform across all channels</li>\n<li>Translate technical research on economics, societal impacts, AI safety, and frontier capabilities into narratives accessible to diverse audiences, in partnership with the Institute’s research communications team</li>\n<li>Prepare Jack and other Institute leaders for media interviews, podcast appearances, congressional hearings, and speaking engagements</li>\n<li>Build and maintain relationships with media across technology, economics, national security, labor, and general interest verticals</li>\n<li>Create high-quality content across formats,blog posts, research summaries, briefing documents, talking points, social content, and innovative digital formats</li>\n<li>Build repeatable playbooks and processes that allow a lean team to punch well above its weight</li>\n</ul>\n<p>You May Be a Good Fit If You</p>\n<ul>\n<li>Have 10+ years of experience in communications, with significant depth in executive communications, thought leadership, or public interest/policy communications</li>\n<li>Have a track record of translating complex, technical, or academic research into public narratives that reach audiences well beyond specialist communities</li>\n<li>Can embrace the “weird” - AI is a new field where the unexpected and unusual happens all the time.</li>\n<li>Have built and executed brand platforms for senior executives, thought leaders, or public intellectuals,and have managed their day-to-day communications logistics</li>\n<li>Are equally comfortable crafting high-level messaging strategy and producing content under deadline</li>\n<li>Have strong media relationships across a range of verticals,technology, economics, national security, policy, and/or general interest</li>\n<li>Can move between strategic messaging and fast-turnaround tactical execution without losing quality</li>\n<li>Are intellectually curious about AI’s impact on the economy, society, national security, and the future of work,and can engage substantively with researchers working on these problems</li>\n<li>Are excited about using AI tools in your own workflows to multiply what a small team can do</li>\n<li>Care deeply about AI safety, responsible technology development, and Anthropic’s public benefit mission</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1da2c245-26b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"The Anthropic Institute","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5155269008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$320,000 USD","x-skills-required":["communications","executive communications","brand strategy","portfolio management","media relations","public speaking","content creation","research translation","AI safety","responsible technology development"],"x-skills-preferred":["AI tools","data analysis","machine learning","natural language processing"],"datePosted":"2026-04-18T15:58:31.806Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"communications, executive communications, brand strategy, portfolio management, media relations, public speaking, content creation, research translation, AI safety, responsible technology development, AI tools, data analysis, machine learning, natural language processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_63a79841-36e"},"title":"Solutions Architect (Vietnam)","description":"<p>At Databricks, we&#39;re seeking a Solutions Architect to join our Field Engineering team in Vietnam. As a key member of our team, you will work closely with customers to understand their complex data challenges and provide technical expertise to demonstrate how our Data Intelligence Platform can help them solve these issues.</p>\n<p>You will form successful relationships with clients throughout Vietnam, providing technical and business value to Databricks customers in collaboration with Account Executives. You will operate as an expert in big data analytics, developing into a &#39;champion&#39; and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Developing customer relationships and building internal partnerships with account executives and teams</li>\n<li>Engaging customers in technical sales, challenging their questions, guiding clear outcomes, and communicating technical and value propositions</li>\n<li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark</li>\n<li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)</li>\n<li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth</li>\n<li>Proficiency in the Vietnamese language is required as this role serves clients based in Vietnam and involves direct customer communications in the Vietnamese language</li>\n</ul>\n<p>In return, you will have the opportunity to grow your knowledge and expertise to the level of a technical and/or industry specialist, and contribute to the success of our customers and the growth of our organization.</p>\n<p>If you&#39;re passionate about working with data and AI, and want to make a real impact, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_63a79841-36e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8472732002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Java","Scala","Big Data Analytics","Spark","Cloud Computing","Data Science","Machine Learning"],"x-skills-preferred":["Data Engineering","Data Architecture","Cloud Security","DevOps"],"datePosted":"2026-04-18T15:58:31.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Scala, Big Data Analytics, Spark, Cloud Computing, Data Science, Machine Learning, Data Engineering, Data Architecture, Cloud Security, DevOps"}]}