{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/valuation"},"x-facet":{"type":"skill","slug":"valuation","display":"Valuation","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_b0be104c-5b5"},"title":"Praktikant (m/w/d) Qualitätssicherung Kaufteile","description":"<p>Join our four-member intern team in the Quality Assurance Parts department at Porsche Leipzig GmbH. As an intern, you will work closely with our team to ensure that every purchased part meets our high Porsche standards. You will evaluate suppliers, analyze deviations, and accompany the complaint and defect removal process.</p>\n<p>As a member of our team, you will have the opportunity to gain hands-on experience in real-world projects and develop a deep understanding of the processes involved in producing premium vehicles. You will work closely with suppliers, logistics, analysis, planning, and product audit teams to ensure that our products meet the highest quality standards.</p>\n<p>The internship is divided into three areas:</p>\n<ul>\n<li>Quality Assurance Press Parts: You will work in the world of body structure and surface finishes. Your tasks will include learning about factory sensors to detect defects in aluminum, steel, and plastic parts, analyzing errors in parts, and actively participating in their correction.</li>\n<li>Quality Assurance Interior/Exterior: If you are interested in vehicle equipment and exterior accessories, this is the right place for you. Your tasks will include accompanying the error removal process for specific complaints in the drive train area, researching relevant quality data in our Q-systems, and participating in product audit reviews, including documenting your results.</li>\n<li>Quality Assurance Electrical/Electronics: For students interested in E/E topics, we offer a deep insight into modern vehicle technologies. Your tasks will include participating in the implementation of central ESD guidelines (electrostatic discharge) at the Leipzig site, supporting the operational daily business around electronic vehicle components, and researching, evaluating, and forecasting quality data.</li>\n</ul>\n<p>To be successful in this role, you should have a strong passion for quality assurance and a keen eye for detail. You should be able to work independently and as part of a team, with excellent communication and problem-solving skills. A degree in electrical engineering, mechanical engineering, or industrial engineering with a focus on vehicle technology or quality management is required.</p>\n<p>Duration: 6 months Start date: September 1, 2026/October 1, 2026 Location: Leipzig, Germany Required documents: Resume, cover letter, proof of enrollment, transcripts, and language proficiency certificate (if applicable)</p>\n<p>Benefits:</p>\n<ul>\n<li>Employee catering: Subsidized food options with fresh, seasonal, and regional ingredients, modern cafeterias, and sustainable take-out options</li>\n<li>Mobility: Encouragement of sustainable mobility with discounted Germany tickets, bike leasing, and comprehensive charging infrastructure for electric vehicles at our locations</li>\n</ul>\n<p>If you are interested in joining our team and contributing to the quality of our vehicles, please submit your application by June 30, 2026.</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_b0be104c-5b5","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=20302","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Quality Assurance","Supplier Evaluation","Deviation Analysis","Complaint Handling","Defect Removal","Project Management","Teamwork","Communication","Problem-Solving","Attention to Detail"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:32:26.894Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Leipzig"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Automotive","skills":"Quality Assurance, Supplier Evaluation, Deviation Analysis, Complaint Handling, Defect Removal, Project Management, Teamwork, Communication, Problem-Solving, Attention to Detail"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f4841d1c-d87"},"title":"Praktikum Mechanikentwicklung Verbrennungs- & Hybridantriebe - Getriebe/Triebstrang","description":"<p>As a member of our team, you will be responsible for the development and testing of hardware for boxer engines, V-engines, and gearboxes, as well as the integration of the drivetrain into the vehicle. You will also be responsible for the development of periphery systems for combustion engines and hybrids, such as motor electronics (sensors, actuators, control units, high-voltage converters), cooling, and heat protection (components and function control units).</p>\n<p>Your focus areas will include:</p>\n<ul>\n<li>Development and testing of components and drivetrains</li>\n</ul>\n<ul>\n<li>Planning and preparation of test stand and vehicle tests</li>\n</ul>\n<ul>\n<li>Conducting tests and evaluating results, including analysis of measurement data</li>\n</ul>\n<ul>\n<li>Working on tasks in CAD</li>\n</ul>\n<p>The internship will start in March/April or September/October and last for 4-6 months.</p>\n<p>We offer:</p>\n<ul>\n<li>A glimpse into the development of complex hybrid drivetrains and their validation</li>\n</ul>\n<ul>\n<li>Application and expansion of knowledge gained during studies on fascinating technical systems</li>\n</ul>\n<ul>\n<li>A modern working environment</li>\n</ul>\n<ul>\n<li>Digital learning and working tools</li>\n</ul>\n<ul>\n<li>Mobile learning and flexible working hours after coordination with the team</li>\n</ul>\n<ul>\n<li>An active internship community</li>\n</ul>\n<p>To be successful in this role, you should have:</p>\n<ul>\n<li>A degree in engineering with a focus on mechanical engineering, vehicle technology, mechatronics, or a comparable field (at least in the third semester or gap year between bachelor and master)</li>\n</ul>\n<ul>\n<li>Knowledge of test conduction and data evaluation is helpful</li>\n</ul>\n<ul>\n<li>Basic knowledge of drive and vehicle is beneficial</li>\n</ul>\n<ul>\n<li>Basic knowledge of CAD is helpful</li>\n</ul>\n<ul>\n<li>Team and communication skills</li>\n</ul>\n<ul>\n<li>Independent and structured work style, flexibility</li>\n</ul>\n<ul>\n<li>Secure handling of MS Office</li>\n</ul>\n<ul>\n<li>Very good German and good English language skills (at least B2 level)</li>\n</ul>\n<p>If you have any questions, please feel free to contact us. 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_f4841d1c-d87","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. F. 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We are seeking a Complete Vehicle Analyst to join our team at the Porsche Experience Center, LA in Carson, California. The Complete Vehicle Analyst is responsible for analysing complaints, malfunctions, findings or anomalies, arising from the Complete Vehicle Verification and Validation in the metropolitan area of California on public roads, according to Porsche&#39;s proprietary testing systems and methodologies.</p>\n<p>The main task is to analyse and manage the events occurring throughout the Complete Vehicle testing activities, such as the corresponding validations, assessments, updates and analyses of the vehicles. 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Experience with Porsche&#39;s proprietary testing systems and methodologies is a plus. The salary range for this role is $31.00 to $38.00 per hour.</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_04bc8ac5-e6b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Porsche Engineering Group (PEG)","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=20361","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$31.00 to $38.00 per hour","x-skills-required":["complete vehicle systems","automotive technologies","diagnostic tools","data analysis","engineering evaluations"],"x-skills-preferred":["Porsche's proprietary testing systems and methodologies","Vector CANape","Vector CANoe","ETAS Measure Data Analyzer"],"datePosted":"2026-04-22T17:29:51.599Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Carson, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"complete vehicle systems, automotive technologies, diagnostic tools, data analysis, engineering evaluations, Porsche's proprietary testing systems and methodologies, Vector CANape, Vector CANoe, ETAS Measure Data Analyzer"},{"@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_dffc3c3a-051"},"title":"Senior Consultant Future Product Development","description":"<p>Are you enthusiastic about the future of product development, technological innovations, and strategic transformations? Do you want to support companies in rethinking their product development processes - from vision to implementation? Then join our team and shape the next generation of product development together with us.</p>\n<p>Your tasks will include:</p>\n<ul>\n<li>Advising customers from various industries on the strategic alignment, further development, and operationalization of product development - from vision to sustainable implementation</li>\n<li>Accompanying the development of target images for the product development system of tomorrow and deriving concrete digital transformation paths</li>\n<li>Supporting the conception and implementation of strategies for the use of artificial intelligence in product development</li>\n<li>Project management in classical and agile environments and accompanying workshops with our customers from design to execution and moderation</li>\n<li>Co-shaping sales and acquisition activities as well as evaluating new technologies and trends</li>\n</ul>\n<p>To be well-prepared for your path as a Senior Consultant Future Product Development, you should have the following qualifications:</p>\n<ul>\n<li>Completed studies and at least 1 year of professional experience, preferably in consulting with a focus on product development</li>\n<li>Expertise in the field of mechatronic/software-driven product development and digitalization</li>\n<li>Passion for innovations, technologies, and methods in the product development environment supplemented by data evaluation (e.g. using Python)</li>\n<li>Your way of working is characterized by very good communication and presentation skills, structure, self-motivation, analytical thinking, and strong team skills</li>\n<li>Skills in and understanding of modeling (UML, SysML, etc.) are an advantage</li>\n</ul>\n<p>Important information before departure:</p>\n<ul>\n<li>Start: after agreement - always at the beginning of a month</li>\n<li>Working hours: full-time (40h) &amp; 30 vacation days</li>\n<li>Employment relationship: unlimited</li>\n<li>Field of work: Consulting</li>\n<li>Language: fluent German and English</li>\n<li>Flexibility and willingness to travel</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 over 4,500 employees worldwide. MHP&#39;s mission is to drive excellence and sustainable success, and the company is committed to continuously improving its services and products to meet the evolving needs of its customers.</p>\n<p>At MHP, you will have the opportunity to grow professionally and personally, with a focus on innovation and collaboration. Our team is passionate about delivering exceptional results and making a positive impact on our customers&#39; businesses. We offer a dynamic and supportive work environment, with opportunities for professional development and growth. If you are looking for a challenging and rewarding career, join our team at MHP.</p>\n<p>Benefits:</p>\n<ul>\n<li>Recognition: We appreciate and support our colleagues as they are and celebrate our successes together.</li>\n<li>Creativity: We welcome creativity and new ideas.</li>\n<li>Flexibility: Your working style is flexible, both in terms of time and location, adapted to the project requirements.</li>\n<li>Growth: You have the opportunity to grow in your tasks, knowledge, and responsibility.</li>\n</ul>\n<p>For more information on our benefits, please visit our website.</p>\n<p>How to apply:</p>\n<p>Please submit your application as soon as possible. You can easily do this online through our Job Locator. There, you can upload your application documents, such as your resume, certificates, and possibly project lists, in just a few clicks. A cover letter is not required.</p>\n<p>Note: If your application reaches us, our recruiting team will review it across departments to see if there is a suitable position for you. Regardless of current job postings, we try to find the best fit for you at MHP.</p>\n<p>Contact:</p>\n<p>If you have any questions, please check our FAQs on our Career website.</p>\n<p>For further inquiries, please contact our Recruiting Team at +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_dffc3c3a-051","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=20278","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"competitive salary","x-skills-required":["mechatronic/software-driven product development","digitalization","artificial intelligence","project management","communication and presentation skills","structure","self-motivation","analytical thinking","team skills","modeling (UML, SysML, etc.)"],"x-skills-preferred":["Python","data evaluation"],"datePosted":"2026-04-22T17:26:30.376Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"mechatronic/software-driven product development, digitalization, artificial intelligence, project management, communication and presentation skills, structure, self-motivation, analytical thinking, team skills, modeling (UML, SysML, etc.), Python, data evaluation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d87572b6-711"},"title":"Praktikum Group Accounting & Financial Reporting","description":"<p>As a member of our team, you will be responsible for creating the group&#39;s financial reports and statements. 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This is a high-impact, high-visibility role at the center of capital strategy, corporate tax, M&amp;A, investor relations, and strategic project coordination.</p>\n<p>You will work directly with the CFO and founders to shape Holidu&#39;s financial architecture and capital allocation, ensuring the company is optimally structured to support growth, operational efficiency, and future financing initiatives.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Capital structure and treasury: Optimize capital structure, cash planning and debt financing (including working capital facilities) to drive long-term financial sustainability</li>\n<li>M&amp;A: Lead financial and tax due diligence and support post-acquisition financial integrations</li>\n<li>Corporate tax strategy: Oversee corporate tax planning together with external advisors; oversee transfer pricing policies and intercompany structures (including VAT treatment)</li>\n<li>Investor and board reporting: Support investor/board materials preparation and fundraising</li>\n<li>Drive strategic initiatives: Partner with management on high-impact strategic projects including M&amp;A (post-merger financial integration, tax structuring), strategic partnerships, business model innovation, and international expansion (legal entity setup, local compliance, and contracting)</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>8+ years of experience in corporate finance, investment banking, or VC/PE, and ideally within high-growth companies</li>\n<li>Strong commercial acumen applied to financial decision-making</li>\n<li>Exceptional financial modeling, valuation, and scenario analysis skills, with the ability to influence management and cross-functional stakeholders through clear, data-driven insights</li>\n<li>Experience coordinating cross-functional projects including significant external advisor involvement</li>\n<li>Business proficiency in English (written and spoken)</li>\n<li>Experience supporting or leading fundraising and/or M&amp;A transactions is valued</li>\n<li>Experience in procurement is valued</li>\n<li>Experience in a tech scale-up or SaaS business model is valued</li>\n</ul>\n<p>Our adventure includes:</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<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<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<li>Technology: Work in a modern tech environment. 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You’ll stay connected through regular events and meet-ups across our almost 30 offices.</li>\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 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_50d074ea-289","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/2549469","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Corporate finance","Investment banking","VC/PE","Financial modeling","Valuation","Scenario analysis","English (written and spoken)"],"x-skills-preferred":["Fundraising","M&A transactions","Procurement","Tech scale-up","SaaS business model"],"datePosted":"2026-04-18T22:13:40.913Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Corporate finance, Investment banking, VC/PE, Financial modeling, Valuation, Scenario analysis, English (written and spoken), Fundraising, M&A transactions, Procurement, Tech scale-up, SaaS business model"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78c099b8-238"},"title":"PnL Attribution Analytics - Fixed Income","description":"<p>We are seeking a skilled PnL Attribution Analyst to join our Operations &amp; Middle Office team in Bangalore. As a PnL Attribution Analyst, you will be responsible for reviewing, adjusting, and signing off daily firmwide PnL attribution reports, ensuring completeness, accuracy, and consistency across portfolios.</p>\n<p>Your primary responsibilities will include:</p>\n<ul>\n<li>Preparing performance attribution reports for senior management and portfolio managers, highlighting primary PnL drivers and providing ad-hoc deep-dive analysis as required.</li>\n<li>Investigating and explaining material PnL moves on a Trade Date and T+1 basis, acting as a key point of contact for traders, risk, and finance on all PnL-related queries.</li>\n<li>Developing systematic controls to validate and enhance PnL attribution processes, including automated reconciliations, threshold-based alerts, and exception reporting.</li>\n</ul>\n<p>In addition, you will be responsible for monitoring and validating real-time and end-of-day pricing for all fixed income instruments across Rates, Credit, and FX, including 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_78c099b8-238","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/755955631131","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PnL attribution","derivatives pricing/valuations","quantitative risk","Python","fixed income products","Greeks-based risk sensitivities"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:12:45.488Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"PnL attribution, derivatives pricing/valuations, quantitative risk, Python, fixed income products, Greeks-based risk sensitivities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b872584e-688"},"title":"Senior Regulatory Affairs Director - Oncology Cell & Gene Therapy","description":"<p>Job Description</p>\n<p>The Senior Director, Oncology Cell and Gene Therapy Regulatory Affairs, leads the development and implementation of the global regulatory strategy for CGT products of high complexity and visibility and may serve as Franchise GRL on complex programs with multiple indications.</p>\n<p>In addition to GRL responsibilities, the Sr RAD has the ability to function in dual capacity by also serving as a regional lead based on their location.</p>\n<p>The Sr RAD ensures that the regulatory strategy is designed to deliver efficient approval with competitive labelling in keeping with the properties of the product(s) and the needs identified by the business, markets and patients.</p>\n<p>The Sr RAD provides team leadership and 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governance presentations.</li>\n</ul>\n<ul>\n<li>Lead regulatory strategy for all health authority meetings, responses to information requests, BLA development and submission, expedited pathway designations.</li>\n</ul>\n<ul>\n<li>Maintain a strong working knowledge of the relevant disease areas: early- and late-stage multiple myeloma.</li>\n</ul>\n<ul>\n<li>Lead a Global Regulatory Strategy Team (GRST) responsible for specific indications/programs within the franchise, key contributing members from the regions, emerging markets, RA CMC, Labeling and members of the submission and execution team.</li>\n</ul>\n<ul>\n<li>Participate in coaching and performance feedback to members of your GRST.</li>\n</ul>\n<ul>\n<li>Lead the objective assessment of emerging data against aspirations and update senior management on project risks/mitigation activities.</li>\n</ul>\n<ul>\n<li>Represent Regulatory Affairs on Global Product Teams (GPTs) providing strategic Regulatory advice and accountable for all Regulatory activities</li>\n</ul>\n<ul>\n<li>Accountable for the delivery of all project-related regulatory milestones, including assessment of the probability of regulatory success and mitigations.</li>\n</ul>\n<ul>\n<li>You will lead preparation of the regulatory strategy document and target product labeling.</li>\n</ul>\n<ul>\n<li>Demonstrate strategic, leadership, and collaboration skills, contributing to effective cross-functional teamwork in product development.</li>\n</ul>\n<ul>\n<li>Lead, participate, and promote non-project functional or cross-functional initiatives and engage externally on the corresponding topics as needed.</li>\n</ul>\n<ul>\n<li>Lead the development of novel regulatory tools and technology.</li>\n</ul>\n<ul>\n<li>Ensure appropriate planning and construction of the global dossier and core prescribing information led by the respective teams.</li>\n</ul>\n<ul>\n<li>Accountable for product maintenance and compliance activities associated with marketed brands.</li>\n</ul>\n<ul>\n<li>Partner with marketing companies (countries) and regional regulatory affairs staff to influence developing views/guidance.</li>\n</ul>\n<ul>\n<li>May have line management responsibilities in addition to matrixed supervisory, leadership, and mentoring roles.</li>\n</ul>\n<p>Education, Qualifications, Skills and Experience</p>\n<p>Essential:</p>\n<ul>\n<li>An advanced degree in a science related field and seven-ten years of experience and/or appropriate knowledge/experience.</li>\n</ul>\n<ul>\n<li>Demonstrated success in cell and/or gene therapy regulatory strategy.</li>\n</ul>\n<ul>\n<li>Deep understanding of global regulatory science and integration with program strategy.</li>\n</ul>\n<ul>\n<li>Long standing experience of overall drug/biologic development processes and strategies for high profile, complex or novel development programs.</li>\n</ul>\n<ul>\n<li>Experience with product development for multiple myeloma.</li>\n</ul>\n<ul>\n<li>Broad background of experience working in pharmaceutical business and prior experience in several areas within regulatory affairs.</li>\n</ul>\n<ul>\n<li>Experience in Oncology (small molecules &amp; biologics) is preferred.</li>\n</ul>\n<ul>\n<li>Proven experience leading regulatory and cross-functional teams, and stakeholder management.</li>\n</ul>\n<ul>\n<li>Ability to think strategically and critically and evaluate risks to regulatory activities.</li>\n</ul>\n<ul>\n<li>Previous experience in leading major Health Authority interactions.</li>\n</ul>\n<ul>\n<li>Excellent oral, written, and presentation skills.</li>\n</ul>\n<ul>\n<li>Strong organizational skills.</li>\n</ul>\n<ul>\n<li>Ability to work in a fast-paced environment in a hands-on fashion.</li>\n</ul>\n<ul>\n<li>Flexible and proactive, with the ability to manage multiple projects and successfully adapt to changing business needs and priorities.</li>\n</ul>\n<p>Desirable:</p>\n<ul>\n<li>Successful leadership of at least one global regulatory approval including leading response team and labeling negotiations</li>\n</ul>\n<ul>\n<li>Experience with FDA advisory committee and EMA oral explanation .</li>\n</ul>\n<ul>\n<li>Experience developing products for the treatment of autoimmune conditions.</li>\n</ul>\n<ul>\n<li>Experience working on due diligence activities and in a business alliance environment.</li>\n</ul>\n<ul>\n<li>Experience in leading and growing people through coaching or mentorship.</li>\n</ul>\n<ul>\n<li>Contribution to non-project business initiatives (e.g. at a portfolio or cross functional level)</li>\n</ul>\n<p>About AstraZeneca</p>\n<p>At AstraZeneca, Regulatory professionals help turn breakthrough science into real solutions for patients with serious diseases by shaping innovative pathways through complex global requirements.</p>\n<p>Working with colleagues across locations, therapy areas and external partners, this role offers the chance to influence strategy end-to-end, from early development through rapid global approvals, while learning from leading experts, sharing best practices and using data, technology and modern approaches to reduce barriers for patients worldwide.</p>\n<p>If this opportunity to drive transformative cell and gene therapies towards approval resonates, apply now to join us in bringing life-changing medicines to those who need them most.</p>\n<p>Competitive salary and benefits package on offer:</p>\n<p>Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week.</p>\n<p>The annual base salary for this position ranges from $218,058.40 - 327,087.60. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.</p>\n<p>In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles) or to receive a retirement contribution (hourly roles).</p>\n<p>Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.</p>\n<p>Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.</p>\n<p>If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.</p>\n<p>Date Posted 10-Apr-2026 Closing Date 29-Apr-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, age, disability, marital status, citizenship, national origin, or veteran status.</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_b872584e-688","directApply":true,"hiringOrganization":{"@type":"Organization","name":"ONC Reg Portfolio C&GT","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689799217","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$218,058.40 - 327,087.60","x-skills-required":["Regulatory Affairs","Cell and Gene Therapy","Global Regulatory Strategy","Regulatory Science","Program Strategy","Drug/Biologic Development","Multiple Myeloma","Pharmaceutical Business","Regulatory and Cross-Functional Teams","Stakeholder Management","Strategic Thinking","Risk Evaluation","Major Health Authority Interactions","Oral, Written, and Presentation Skills","Organizational Skills","Fast-Paced Environment","Project Management","Adaptability"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:12:42.227Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"South San Francisco, California, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Regulatory Affairs, Cell and Gene Therapy, Global Regulatory Strategy, Regulatory Science, Program Strategy, Drug/Biologic Development, Multiple Myeloma, Pharmaceutical Business, Regulatory and Cross-Functional Teams, Stakeholder Management, Strategic Thinking, Risk Evaluation, Major Health Authority Interactions, Oral, Written, and Presentation Skills, Organizational Skills, Fast-Paced Environment, Project Management, Adaptability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":218058.4,"maxValue":327087.6,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5def5eb0-d2e"},"title":"Portfolio Pricing and Valuations Analyst","description":"<p>We are seeking a skilled and detail-oriented professional to join our team as a Portfolio Pricing and Valuations Analyst. The successful candidate will play a critical role in maintaining and enhancing the firm&#39;s pricing and valuation infrastructure for equity derivative products, with a focus on volatility, vanilla, and exotic products.</p>\n<p>The candidate will be a key contributor in the review and validation of pricing models and methodologies, the analysis and explanation of P&amp;L, and the onboarding of new and complex products.</p>\n<p>Principal Responsibilities:</p>\n<ul>\n<li>Valuations , Oversee and enhance the configuration of internal systems and calibration of pricing models for equity derivative products. Source, validate, and analyze market data, including external volatility surfaces and curves, to ensure accuracy and integrity of marks.</li>\n</ul>\n<ul>\n<li>Pricing &amp; Mark Sign-Off , Maintain intraday and end-of-day pricing procedures and controls. Responsible for publishing and signing off on the firm&#39;s official end-of-day marks, surfaces, and curves across equity volatility and exotic products.</li>\n</ul>\n<ul>\n<li>P&amp;L Explanation &amp; Attribution , Analyze and explain daily P&amp;L, decomposing performance into its key drivers: Greeks-based attribution, idiosyncratic events, and trading activity. Identify, investigate, and resolve breaks in collaboration with trading, risk, and finance. Prepare attribution reports for senior management and run ad-hoc analysis when required.</li>\n</ul>\n<ul>\n<li>Methodology Review &amp; Testing , Evaluate and test pricing and marking methodologies proposed by quant or vendor teams. Provide practitioner-level feedback on model assumptions, calibration approaches, and operational applicability.</li>\n</ul>\n<ul>\n<li>New Product Onboarding , Oversee the setup and integration of new equity derivative products into the firm&#39;s infrastructure, coordinating across technology, quant, risk, and portfolio management.</li>\n</ul>\n<ul>\n<li>Primary Interface , Act as a senior point of contact for portfolio managers on pricing, valuation, risk, and product setup matters. Coordinate across departments to resolve issues efficiently.</li>\n</ul>\n<p>Qualifications/Skills:</p>\n<ul>\n<li>5+ years of professional experience in a relevant role such as equity derivatives trading, trader assistant, risk management, product control, or valuations</li>\n</ul>\n<ul>\n<li>Advanced degree in a quantitative discipline preferred</li>\n</ul>\n<ul>\n<li>Deep knowledge of Equity Derivative products including vanilla options, variance/volatility swaps, TRF/TRS, dividend swaps, and exotic products , with particular emphasis on volatility products</li>\n</ul>\n<ul>\n<li>Strong familiarity with P&amp;L explanation and attribution in an equity derivatives context</li>\n</ul>\n<ul>\n<li>Demonstrated ability to understand, evaluate, and test complex pricing methodologies</li>\n</ul>\n<ul>\n<li>Programming experience (Python, VBA, etc) needed with a focus on data analysis.</li>\n</ul>\n<ul>\n<li>Proficiency with Bloomberg and Reuters and other market data sources</li>\n</ul>\n<ul>\n<li>Experience engaging and collaborating with technology and quant teams to drive system enhancements</li>\n</ul>\n<ul>\n<li>Highly detail-oriented with strong ownership, sound judgment, and the ability to prioritize in a high-pressure 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 $160,000 to $250,000, which is specific to New York and may change in the future. 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Experience supporting and leading a team of research scientists and research engineers is also 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_60a7e1e6-b51","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/4304790005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["large language model","NLP","Transformer modeling","research and engineering development","team leadership","cross-functional collaboration","evaluation methodologies","metrics and benchmarks","scalable and reproducible evaluation pipelines","modern ML frameworks"],"x-skills-preferred":["published research in top-tier AI conferences","open-source benchmarking initiatives","customer-facing role"],"datePosted":"2026-04-18T15:59:10.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large language model, NLP, Transformer modeling, research and engineering development, team leadership, cross-functional collaboration, evaluation methodologies, metrics and benchmarks, scalable and reproducible evaluation pipelines, modern ML frameworks, published research in top-tier AI conferences, open-source benchmarking initiatives, customer-facing role","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_fb1f459e-b3a"},"title":"Machine Learning Research Scientist / Engineer, Reasoning","description":"<p>About Scale</p>\n<p>At Scale, our mission is to accelerate the development of AI applications. We&#39;re looking for a Machine Learning Research Scientist/Engineer to join our team and help us shape the future of AI.</p>\n<p>This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning.</p>\n<p>Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents</li>\n<li>Shape Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning</li>\n<li>Contribute to impactful research on language model reasoning</li>\n<li>Collaborate with external researchers</li>\n<li>Work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow</li>\n<li>A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.)</li>\n<li>At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning</li>\n<li>Strong written and verbal communication skills, along with the ability to work effectively across teams</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX</li>\n<li>Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents</li>\n<li>Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar</li>\n<li>Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH</li>\n<li>Proficiency in cloud-based ML development, with experience in AWS or GCP environments</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range</p>\n<p>$252,000-$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_fb1f459e-b3a","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/4605596005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["PyTorch","JAX","TensorFlow","Large Language Models (LLMs)","Planning Algorithms","Agentic Reasoning","Data Generation","Model Interaction","Evaluation"],"x-skills-preferred":["Agent Frameworks","Cloud-Based ML Development","AWS","GCP","STaR","PLANSEARCH"],"datePosted":"2026-04-18T15:59:07.207Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, JAX, TensorFlow, Large Language Models (LLMs), Planning Algorithms, Agentic Reasoning, Data Generation, Model Interaction, Evaluation, Agent Frameworks, Cloud-Based ML Development, AWS, GCP, STaR, PLANSEARCH","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_faee4fa2-887"},"title":"Prompt Engineer, Claude Code","description":"<p>As a Prompt Engineer on the Claude Code team, you&#39;ll own Claude&#39;s behaviours specifically within Claude Code , ensuring users get a consistent, safe, and high-quality experience as we ship new models and evolve the product.</p>\n<p>This is a highly specialized role sitting at the intersection of model behaviour and product quality. You&#39;ll be the expert on how Claude behaves inside Claude Code, owning and maintaining the system prompts that ship with each new model snapshot. When a new model drops, you&#39;re the person making sure Claude Code feels right within days , not weeks.</p>\n<p>You&#39;ll work closely with Model Quality and Research to understand emergent behaviours and behavioural regressions, and with product and safeguards teams to respond quickly when something goes wrong.</p>\n<p>This role requires someone who can move fast on behavioural tuning while maintaining rigor, and who cares deeply about the end-to-end developer experience Claude Code delivers. You&#39;ll need strong prompting skills, excellent judgment about model behaviours, and the collaborative skills to work across product, safeguards, and research teams.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own Claude Code&#39;s system prompts for each new model snapshot, ensuring behaviours feel consistent and well-tuned</li>\n<li>Review production prompt changes and serve as a resource for particularly challenging prompting problems involving alignment and reputational risks</li>\n<li>Lead incident response for behavioural and policy concerns, coordinating with product and safeguards teams</li>\n<li>Scale prompting and evaluation best practices across claude code and product teams.</li>\n<li>Deliver product evaluations focused on model behaviours</li>\n<li>Define and streamline processes for rolling out prompt changes, including launch criteria and review practices</li>\n<li>Create model-specific prompt guides that document quirks and optimal prompting strategies for each release</li>\n<li>Collaborate with product teams to translate feature requirements into effective prompts</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations</li>\n<li>Thrive in high-intensity environments with fast iteration cycles</li>\n<li>Take full ownership of problems and drive them to completion independently</li>\n<li>Are skilled at creating and maintaining behavioural evaluations</li>\n<li>Have strong technical understanding, including comprehension of agent scaffold architectures and model training processes</li>\n<li>Are an experienced coder comfortable working in Python and Typescript</li>\n<li>Have independently driven changes through production systems with strong execution and responsiveness</li>\n<li>Have experience translating user feedback and product needs into coherent prompts and behavioural specifications</li>\n<li>Excel at working across organisational boundaries, collaborating effectively with teams that have differing goals and perspectives</li>\n<li>Have experience translating user feedback and behavioural observations into coherent prompt changes and specifications</li>\n<li>Care deeply about AI safety and making Claude a healthy alternative in the AI landscape</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_faee4fa2-887","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/5159669008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["prompt engineering","model behaviour","product quality","agentic coding tools","Python","Typescript","collaboration","incident response","process definition","evaluation best practices"],"x-skills-preferred":["AI safety","model training processes","agent scaffold architectures","behavioural evaluations","user feedback analysis"],"datePosted":"2026-04-18T15:59:03.936Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"prompt engineering, model behaviour, product quality, agentic coding tools, Python, Typescript, collaboration, incident response, process definition, evaluation best practices, AI safety, model training processes, agent scaffold architectures, behavioural evaluations, user feedback 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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_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_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_4f808d6c-a4e"},"title":"Machine Learning Research Engineer, GenAI Applied ML","description":"<p><strong>About This Role</strong></p>\n<p>Lead applied ML engineering on Scale&#39;s Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviours, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and deploy multi-agent systems for agentic reasoning validation</li>\n<li>Develop pipelines to detect errors and scale human judgment</li>\n<li>Combine classical ML, LLMs, and multi-agent techniques for reliability</li>\n<li>Lead research into agent failure modes and ship fixes</li>\n<li>Use AI tools to speed prototyping and iteration</li>\n<li>Build data-driven evaluations and deploy rapid improvements</li>\n<li>Integrate systems into Scale&#39;s platform</li>\n</ul>\n<p><strong>Ideal Candidate</strong></p>\n<ul>\n<li>PhD or MSc in Computer Science, Mathematics, Statistics, or related field</li>\n<li>3+ years shipping scaled production ML systems</li>\n<li>Demonstrated real-world impact</li>\n<li>Mastery of PyTorch, TensorFlow, JAX, or scikit-learn</li>\n<li>Deep expertise in agentic LLMs and multi-agent systems</li>\n<li>Strong software engineering and microservices (AWS/GCP)</li>\n<li>Rapid, data-driven iteration</li>\n<li>Proficiency using AI tools to accelerate work</li>\n<li>Strong research depth with practical bias</li>\n<li>Excellent cross-functional communication</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience prototyping agent evaluation/reliability systems</li>\n<li>Human-in-the-loop or annotation pipeline work</li>\n<li>Open-source contributions in agents, evaluation, or alignment</li>\n<li>Publications on agent reliability (NeurIPS, ICML, ICLR)</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&#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. 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_4f808d6c-a4e","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/4490301005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,600-$237,000 USD","x-skills-required":["PyTorch","TensorFlow","JAX","scikit-learn","Agentic LLMs","Multi-agent systems","Software engineering","Microservices","Data-driven iteration","AI tools"],"x-skills-preferred":["Experience prototyping agent evaluation/reliability systems","Human-in-the-loop or annotation pipeline work","Open-source contributions in agents, evaluation, or alignment","Publications on agent reliability"],"datePosted":"2026-04-18T15:58:33.354Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, TensorFlow, JAX, scikit-learn, Agentic LLMs, Multi-agent systems, Software engineering, Microservices, Data-driven iteration, AI tools, Experience prototyping agent evaluation/reliability systems, Human-in-the-loop or annotation pipeline work, Open-source contributions in agents, evaluation, or alignment, Publications on agent reliability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189600,"maxValue":237000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c85087bb-6a8"},"title":"AI Tutor - Danish","description":"<p>As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI&#39;s mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts.</p>\n<p>Your work will focus on curating and annotating high-quality audio data to enhance Grok&#39;s global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI&#39;s handling of multilingual audio nuances.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.</li>\n</ul>\n<ul>\n<li>Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.</li>\n</ul>\n<ul>\n<li>Collaborate with technical staff to develop tasks that improve AI&#39;s ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.</li>\n</ul>\n<ul>\n<li>Work with technical staff to improve annotation tools for efficient audio workflows.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.</li>\n</ul>\n<ul>\n<li>Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.</li>\n</ul>\n<ul>\n<li>Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.</li>\n</ul>\n<ul>\n<li>Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.</li>\n</ul>\n<ul>\n<li>Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.</li>\n</ul>\n<ul>\n<li>Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.</li>\n</ul>\n<ul>\n<li>Commitment to developing AI that masters sophisticated multilingual audio capabilities.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.</li>\n</ul>\n<ul>\n<li>Deep understanding and taste of what good/useful Audio data is.</li>\n</ul>\n<ul>\n<li>Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.</li>\n</ul>\n<ul>\n<li>Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.</li>\n</ul>\n<ul>\n<li>Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.</li>\n</ul>\n<ul>\n<li>Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.</li>\n</ul>\n<ul>\n<li>Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.</li>\n</ul>\n<ul>\n<li>Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n</ul>\n<ul>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n</ul>\n<ul>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.</li>\n</ul>\n<ul>\n<li>For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.</li>\n</ul>\n<ul>\n<li>We are unable to provide visa sponsorship.</li>\n</ul>\n<ul>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview 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_c85087bb-6a8","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/5090189007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$35/hour - $45/hour","x-skills-required":["Multilingual audio capabilities","Proprietary software","Audio data curation","Annotation tools","Speech recognition","Auditory experiences","Diverse languages","Accents","Cultural contexts","Linguistic and prosodic details","Professional audio standards","Speech modulation","Accent variation","Noise in real-world 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audience","Clarity and recording quality"],"datePosted":"2026-04-18T15:57:57.773Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Multilingual audio capabilities, Proprietary software, Audio data curation, Annotation tools, Speech recognition, Auditory experiences, Diverse languages, Accents, Cultural contexts, Linguistic and prosodic details, Professional audio standards, Speech modulation, Accent variation, Noise in real-world recordings, Multilingual audio processing, Audio workflows, Transcription, Audio quality, Voice recordings, Feedback on audio samples, Independent judgments, Ambiguous audio scenarios, Defensible annotation decisions, Portfolio, Voice samples, Annotated transcripts, Audio-related work, Quality, Methodology, Attention to detail, Professional experience in voice, Linguistics, Speech data, Speech evaluation and research, Exceptional attention to linguistic nuance, Auditory detail, Data quality, Advanced transcription and annotation practices, Disfluencies, Prosodic features, Intonation, Stress, Rhythm, Emotion, Phonetics, Phonology, Sociolinguistics, Speech sciences, Cognitive science, Pronunciation differences, Multilingual speech patterns, Speech/audio datasets, Annotation workflows, AI training data, Training voice models, Data quality impacts model performance, Voice acting, Voice recording, Podcasting, Measurable audience, Clarity and recording quality"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9c235fca-4e3"},"title":"Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI","description":"<p>As a Senior/Staff Machine Learning Engineer on the General Agents team, you&#39;ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems.</p>\n<p>You will work across the full agent lifecycle,from model and system design to evaluation, deployment, and iteration,bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.</li>\n<li>Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.</li>\n<li>Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.</li>\n<li>Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.</li>\n<li>Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.</li>\n<li>Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.</li>\n<li>Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.</li>\n<li>Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.</li>\n<li>Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.</li>\n<li>Proven proficiency in Python, including writing production-quality, testable, and maintainable code.</li>\n<li>Experience building systems that integrate models with external tools, APIs, databases, and services.</li>\n<li>Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.</li>\n<li>Strong communication skills and comfort working in customer-facing or cross-functional environments.</li>\n</ul>\n<p>Nice-to-haves include hands-on experience building AI agents using modern generative AI stacks, experience with agent frameworks, orchestration layers, or workflow systems, familiarity with evaluation, monitoring, and observability for LLM-powered systems in production, and experience deploying ML systems in cloud environments and operating them at scale.</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_9c235fca-4e3","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/4658162005","x-work-arrangement":"hybrid","x-experience-level":"senior|staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Machine Learning","Artificial Intelligence","Python","LLMs","Agentic System Design"],"x-skills-preferred":["Generative AI Stacks","Agent Frameworks","Orchestration Layers","Workflow Systems","Evaluation, Monitoring, and Observability"],"datePosted":"2026-04-18T15:57:55.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Artificial Intelligence, Python, LLMs, Agentic System Design, Generative AI Stacks, Agent Frameworks, Orchestration Layers, Workflow Systems, Evaluation, Monitoring, and Observability","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_d5f768d1-df6"},"title":"Full-Stack Engineer, AI Data Platform","description":"<p>Shape the Future of AI</p>\n<p>At Labelbox, we&#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<ul>\n<li>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</li>\n</ul>\n<ul>\n<li>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</li>\n</ul>\n<ul>\n<li>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</li>\n</ul>\n<p>Why Join Us</p>\n<ul>\n<li>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</li>\n</ul>\n<ul>\n<li>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</li>\n</ul>\n<ul>\n<li>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</li>\n</ul>\n<ul>\n<li>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</li>\n</ul>\n<ul>\n<li>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</li>\n</ul>\n<p>Role Overview</p>\n<p>We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.</p>\n<p>You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.</p>\n<p>Your Impact</p>\n<ul>\n<li>Own End-to-End Product Features</li>\n</ul>\n<p>Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.</p>\n<ul>\n<li>Enable Human-in-the-Loop AI Training</li>\n</ul>\n<p>Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.</p>\n<ul>\n<li>Support RLHF and Preference Data Workflows</li>\n</ul>\n<p>Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.</p>\n<ul>\n<li>Leverage LLMs in the Review Loop</li>\n</ul>\n<p>Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.</p>\n<ul>\n<li>Advance AI Evaluation</li>\n</ul>\n<p>Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).</p>\n<ul>\n<li>Create Intuitive, Reviewer-Focused Interfaces</li>\n</ul>\n<p>Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.</p>\n<ul>\n<li>Architect Scalable Data &amp; Service Layers</li>\n</ul>\n<p>Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.</p>\n<ul>\n<li>Solve Ambiguous, Real-World Problems</li>\n</ul>\n<p>Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.</p>\n<ul>\n<li>Ensure System Reliability</li>\n</ul>\n<p>Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.</p>\n<ul>\n<li>Elevate the Team</li>\n</ul>\n<p>Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.</p>\n<p>What You Bring</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Data Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a software or machine learning engineering role.</li>\n</ul>\n<ul>\n<li>A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.</li>\n</ul>\n<ul>\n<li>Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.</li>\n</ul>\n<ul>\n<li>Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).</li>\n</ul>\n<ul>\n<li>Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<ul>\n<li>High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).</li>\n</ul>\n<ul>\n<li>Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.</li>\n</ul>\n<ul>\n<li>Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).</li>\n</ul>\n<ul>\n<li>Previous experience with search engines (e.g., ElasticSearch).</li>\n</ul>\n<ul>\n<li>Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.</li>\n</ul>\n<p>Engineering at Labelbox</p>\n<p>At Labelbox Engineering, we&#39;re building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We&#39;ve cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.</p>\n<p>Our Technology Stack</p>\n<p>Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:</p>\n<ul>\n<li>Frontend: React.js with Redux, TypeScript</li>\n</ul>\n<ul>\n<li>Backend: Node.js, TypeScript, Python, some Java &amp; Kotlin</li>\n</ul>\n<ul>\n<li>APIs: GraphQL</li>\n</ul>\n<ul>\n<li>Cloud &amp; Infrastructure: Google Cloud Platform (GCP), Kubernetes</li>\n</ul>\n<ul>\n<li>Databases: MySQL, Spanner, PostgreSQL</li>\n</ul>\n<ul>\n<li>Queueing / Streaming: Kafka, PubSub</li>\n</ul>\n<p>Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.</p>\n<p>Annual base salary range $130,000-$200,000 USD</p>\n<p>Life at Labelbox</p>\n<ul>\n<li>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</li>\n</ul>\n<ul>\n<li>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</li>\n</ul>\n<ul>\n<li>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</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_d5f768d1-df6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/5019254007","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$130,000-$200,000 USD","x-skills-required":["React","Redux","Node.js","TypeScript","Python","Java","GraphQL","MySQL","PostgreSQL","Spanner","Kafka","PubSub","GCP","Kubernetes","Cloud computing","Containerization","Database management","Cloud infrastructure","API design","Backend services","Data models","Infrastructure"],"x-skills-preferred":["AI tools","Cursor","GitHub Copilot","Data annotation","Monitoring","Agent evaluation","Data infrastructure","Data pipelines","Streaming systems","Storage architectures","Search engines","ElasticSearch","Database optimization","Schema design","Indexing","Query tuning"],"datePosted":"2026-04-18T15:57:55.464Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"React, Redux, Node.js, TypeScript, Python, Java, GraphQL, MySQL, PostgreSQL, Spanner, Kafka, PubSub, GCP, Kubernetes, Cloud computing, Containerization, Database management, Cloud infrastructure, API design, Backend services, Data models, Infrastructure, AI tools, Cursor, GitHub Copilot, Data annotation, Monitoring, Agent evaluation, Data infrastructure, Data pipelines, Streaming systems, Storage architectures, Search engines, ElasticSearch, Database optimization, Schema design, Indexing, Query tuning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":130000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a1ecaac-284"},"title":"Global Leader, Applied AI Architects, Beneficial Deployments","description":"<p>As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead a team of Applied AI Architects who serve as the primary technical partners to mission-driven organisations and non-profits adopting Claude. You&#39;ll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences.</p>\n<p>You&#39;ll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types,from global health foundations to leading research institutions to frontline non-profits. You&#39;ll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organisations operating as AI-native, and you&#39;ll be accountable for the team, processes, and cross-functional relationships that make that possible.</p>\n<p>In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organisation, you&#39;ll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You&#39;ll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences</li>\n</ul>\n<ul>\n<li>Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments,from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure</li>\n</ul>\n<ul>\n<li>Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence</li>\n</ul>\n<ul>\n<li>Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships</li>\n</ul>\n<ul>\n<li>Drive the design of cohort-based accelerators, Claude Code enablement programmes, and other scalable mechanisms that multiply our impact across many organisations simultaneously</li>\n</ul>\n<ul>\n<li>Identify patterns across partners and segments to inform what we build at the ecosystem level,MCPs, evals, reference implementations, and shared infrastructure</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves</li>\n</ul>\n<ul>\n<li>Represent Anthropic externally with senior leaders at foundations, non-profits, research institutions, and government-adjacent organisations</li>\n</ul>\n<ul>\n<li>Travel to partner sites globally for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic</li>\n</ul>\n<ul>\n<li>Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments</li>\n</ul>\n<ul>\n<li>7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally</li>\n</ul>\n<ul>\n<li>Experience working with or inside mission-driven organisations,education, healthcare, scientific research, global development, or non-profits,and a genuine understanding of the constraints, incentives, and operating realities of these sectors</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python</li>\n</ul>\n<ul>\n<li>A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales</li>\n</ul>\n<ul>\n<li>Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership</li>\n</ul>\n<ul>\n<li>Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed</li>\n</ul>\n<ul>\n<li>The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear</li>\n</ul>\n<ul>\n<li>A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience leading globally distributed teams across time zones and regions</li>\n</ul>\n<ul>\n<li>Background in philanthropy, global health, education technology, or scientific research</li>\n</ul>\n<ul>\n<li>Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organisations</li>\n</ul>\n<ul>\n<li>A working understanding of emerging research in agents, evaluations, and AI safety</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_3a1ecaac-284","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/5192104008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$380,000 USD","x-skills-required":["Technical leadership","Team 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domains, and that work to avoid being deceptive or misleading.</p>\n<p>Your work will be critical for ensuring our models maintain high standards of accuracy and honesty across diverse domains.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement novel data curation pipelines to identify, verify, and filter training data for accuracy given the model’s knowledge</li>\n</ul>\n<ul>\n<li>Develop specialized classifiers to detect potential hallucinations or miscalibrated claims made by the model</li>\n</ul>\n<ul>\n<li>Create and maintain comprehensive honesty benchmarks and evaluation frameworks</li>\n</ul>\n<ul>\n<li>Implement techniques to ground model outputs in verified information, such as search and retrieval-augmented generation (RAG) systems</li>\n</ul>\n<ul>\n<li>Design and deploy human feedback collection specifically for identifying and correcting miscalibrated responses</li>\n</ul>\n<ul>\n<li>Design and implement prompting pipelines to generate data that improves model accuracy and honesty</li>\n</ul>\n<ul>\n<li>Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims</li>\n</ul>\n<ul>\n<li>Create tools to help human evaluators efficiently assess model outputs for accuracy</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have an MS/PhD in Computer Science, ML, or related field</li>\n</ul>\n<ul>\n<li>Possess strong programming skills in Python</li>\n</ul>\n<ul>\n<li>Have industry experience with language model finetuning and classifier training</li>\n</ul>\n<ul>\n<li>Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy</li>\n</ul>\n<ul>\n<li>Care about AI safety and the accuracy and honesty of both current and future AI systems</li>\n</ul>\n<ul>\n<li>Have experience in data science or the creation and curation of datasets for finetuning LLMs</li>\n</ul>\n<ul>\n<li>An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Published work on hallucination prevention, factual grounding, or knowledge integration in language models</li>\n</ul>\n<ul>\n<li>Experience with fact-grounding techniques</li>\n</ul>\n<ul>\n<li>Background in developing confidence estimation or calibration methods for ML models</li>\n</ul>\n<ul>\n<li>A track record of creating and maintaining factual knowledge bases</li>\n</ul>\n<ul>\n<li>Familiarity with RLHF specifically applied to improving model truthfulness</li>\n</ul>\n<ul>\n<li>Worked with crowd-sourcing platforms and human feedback collection systems</li>\n</ul>\n<ul>\n<li>Experience developing evaluations of model accuracy or hallucinations</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits</li>\n</ul>\n<ul>\n<li>Optional equity donation matching</li>\n</ul>\n<ul>\n<li>Generous vacation and parental leave</li>\n</ul>\n<ul>\n<li>Flexible working hours</li>\n</ul>\n<ul>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p><strong>Visa sponsorship</strong></p>\n<p>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 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_3f9344a5-f6e","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/4532887008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$500,000 USD","x-skills-required":["Python","Language model finetuning","Classifier training","Experimental design","Statistical analysis","Data science","Dataset creation","Uncertainty metrics","Calibration methods"],"x-skills-preferred":["Hallucination prevention","Factual grounding","Confidence estimation","Knowledge integration","RLHF","Crowd-sourcing platforms","Human feedback collection","Evaluations of model accuracy"],"datePosted":"2026-04-18T15:57:52.335Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Language model finetuning, Classifier training, Experimental design, Statistical analysis, Data science, Dataset creation, Uncertainty metrics, Calibration methods, Hallucination prevention, Factual grounding, Confidence estimation, Knowledge integration, RLHF, Crowd-sourcing platforms, Human feedback collection, Evaluations of model accuracy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1be4c11-417"},"title":"Senior Research Scientist, Reward Models","description":"<p>As a Senior Research Scientist on our Reward Models team, you&#39;ll lead research efforts to improve how we specify and learn human preferences at scale. Your work will directly shape how our models understand and optimize for what humans actually want , enabling Claude to be more useful, more reliable, and better aligned with human values.</p>\n<p>This role focuses on pushing the frontier of reward modeling for large language models. You&#39;ll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking. You&#39;ll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.</p>\n<p>We&#39;re looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You&#39;ll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources. Your work will directly advance the science of how we train AI systems to be both highly capable and safe.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead research on novel reward model architectures and training approaches for RLHF</li>\n<li>Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability</li>\n<li>Research techniques to detect, characterize, and mitigate reward hacking and specification gaming</li>\n<li>Design experiments to understand reward model generalization, robustness, and failure modes</li>\n<li>Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines</li>\n<li>Contribute to research publications, blog posts, and internal documentation</li>\n<li>Mentor other researchers and help build institutional knowledge around reward modeling</li>\n</ul>\n<p>You may be a good fit if you</p>\n<ul>\n<li>Have a track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning</li>\n<li>Have experience training and evaluating reward models for large language models</li>\n<li>Are comfortable designing and running large-scale experiments with significant computational resources</li>\n<li>Can work effectively across research and engineering, iterating quickly while maintaining scientific rigor</li>\n<li>Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences</li>\n<li>Care deeply about building AI systems that are both highly capable and safe</li>\n</ul>\n<p>Strong candidates may also</p>\n<ul>\n<li>Have published research on reward modeling, preference learning, or RLHF</li>\n<li>Have experience with LLM-as-judge approaches, including calibration and reliability challenges</li>\n<li>Have worked on reward hacking, specification gaming, or related robustness problems</li>\n<li>Have experience with constitutional AI, debate, or other scalable oversight approaches</li>\n<li>Have contributed to production ML systems at scale</li>\n<li>Have familiarity with interpretability techniques as applied to understanding reward model behavior</li>\n</ul>\n<p>The annual compensation range for this role is $350,000-$500,000 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_b1be4c11-417","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/5024835008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$500,000 USD","x-skills-required":["reward modeling","RLHF","LLM-based evaluation and grading","rubric-driven approaches","reward hacking","specification gaming","large-scale experiments","computational resources","research and engineering","collaborative research","complex ideas communication","AI systems development"],"x-skills-preferred":["published research","LLM-as-judge approaches","calibration and reliability challenges","constitutional AI","debate","scalable oversight approaches","production ML systems","interpretability techniques"],"datePosted":"2026-04-18T15:57:50.755Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel Required) | San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"reward modeling, RLHF, LLM-based evaluation and grading, rubric-driven approaches, reward hacking, specification gaming, large-scale experiments, computational resources, research and engineering, collaborative research, complex ideas communication, AI systems development, published research, LLM-as-judge approaches, calibration and reliability challenges, constitutional AI, debate, scalable oversight approaches, production ML systems, interpretability techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3238a958-3d9"},"title":"AI Product Manager","description":"<p>We&#39;re looking for an AI Product Manager to own one of the Agent &amp; Reinforcement Learning Environments data verticals, with a focus on Computer Using Agent (CUA) data.</p>\n<p>In this role, you&#39;ll oversee the product roadmap for your data vertical, owning &#39;data as a product&#39;, pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments.</p>\n<p>You&#39;ll work directly with Scale&#39;s most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps.</p>\n<p>The ideal candidate brings together a strong entrepreneurial &amp; go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the roadmap for the Agent &amp; RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.</li>\n</ul>\n<ul>\n<li>Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.</li>\n</ul>\n<ul>\n<li>Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.</li>\n</ul>\n<ul>\n<li>Scope out and scale the creation of RL environments that simulate real-world use cases.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.</li>\n</ul>\n<p>Ideally, You&#39;d Have:</p>\n<ul>\n<li>Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.</li>\n</ul>\n<ul>\n<li>6+ years of experience in product management or a customer-facing role.</li>\n</ul>\n<ul>\n<li>Technical fluency: Software engineering background (a degree in computer science or equivalent experience).</li>\n</ul>\n<ul>\n<li>Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation</li>\n</ul>\n<ul>\n<li>Strong customer intuition and the ability to translate technical requirements into impactful product decisions.</li>\n</ul>\n<ul>\n<li>Bias for action and comfort wearing multiple hats and operating in fast-moving environments.</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_3238a958-3d9","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/4609736005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["reinforcement learnings","simulation environments","data pipelines","model training","evaluation frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:37.306Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"reinforcement learnings, simulation environments, data pipelines, model training, evaluation frameworks","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_769c0070-5b2"},"title":"Research Scientist, Agent Robustness","description":"<p>As a Research Scientist working on Agent Robustness, you will work on the fundamental challenges of building AI agents that are safe and aligned with humans.</p>\n<p>For example, you might:</p>\n<ul>\n<li>Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;</li>\n<li>Design and build harnesses to test AI agents&#39; tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;</li>\n<li>Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;</li>\n<li>Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.</li>\n</ul>\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<li>Practical experience conducting technical research collaboratively;</li>\n<li>Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;</li>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\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>Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;</li>\n<li>Experience with red-teaming, prompt injection, or adversarial testing of AI systems.</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&#39;re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn&#39;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&#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. 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For the Public Sector, we translate this mission into operational advantage for our government customers.\\n\\n## Job Description\\n\\nWe are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI.\\n\\n## Responsibilities\\n\\n- Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the &quot;ground truth&quot; foundation for building, evaluating, and deploying AI systems.\\n\\n- Bridge Custom &amp; Scale: Support diverse customer profiles,from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.\\n\\n- Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&amp;E).\\n\\n- Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.\\n\\n## Ideal Candidate\\n\\n- Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.\\n\\n- ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model,from data acquisition to Test &amp; Evaluation.\\n\\n- Grit: You possess a &quot;whatever-it-takes&quot; drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.\\n\\n- Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.\\n\\n## Benefits\\n\\nCompensation 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.\\n\\n## Salary Range\\n\\nThe base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $205,600-$257,000 USD\\n\\nThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $212,800-$266,000 USD\\n\\nThe base salary range for this full-time position in the location of St. Louis is: $177,600-$222,000 USD</strong></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_0b5f056b-3e6","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/4670064005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,600-$257,000 USD","x-skills-required":["Software Engineering","Field Engineering","Vision Systems","Computer Vision","ML Ops","System Architecture","APIs","Model Evaluation Frameworks"],"x-skills-preferred":["Security Clearance","Advanced Degree","Computer Vision Expertise"],"datePosted":"2026-04-18T15:57:14.290Z","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":"Software Engineering, Field Engineering, Vision Systems, Computer Vision, ML Ops, System Architecture, APIs, Model Evaluation Frameworks, Security Clearance, Advanced Degree, Computer Vision Expertise","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177600,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f421360-4eb"},"title":"Senior Data Scientist, Growth","description":"<p><strong>About the Role</strong></p>\n<p>Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies.</p>\n<p>We&#39;re looking to bring on an experienced Senior Data Scientist to own the data strategy for our Growth and Patient Experience team. In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo&#39;s patient experience strategy</li>\n<li>Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment.</li>\n<li>Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team</li>\n<li>Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations</li>\n<li>Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey.</li>\n<li>Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact</li>\n<li>Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years professional experience in data science, product analytics, or data engineering</li>\n<li>1+ years professional experience working in healthcare, consumer health, or high-touch consumer products</li>\n<li>Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack</li>\n<li>Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis</li>\n<li>Passionate about improving maternal health outcomes and creating exceptional patient experiences</li>\n<li>Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems</li>\n<li>Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert</li>\n<li>A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences</li>\n<li>Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)</li>\n<li>Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications</li>\n<li>Background in healthcare AI, clinical decision support, or medical NLP</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_0f421360-4eb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pomelo Care","sameAs":"https://www.pomelocare.com/","logo":"https://logos.yubhub.co/pomelocare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pomelocare/jobs/5970852004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","data science","product analytics","data engineering","healthcare","consumer health","high-touch consumer products","product prototyping","A/B testing","user behavior analysis","data visualization","dashboarding tools","modern data stack tools"],"x-skills-preferred":["AI model development","fine-tuning","prompt engineering","model evaluation","production AI applications","healthcare AI","clinical decision support","medical NLP"],"datePosted":"2026-04-18T15:57:12.314Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"SQL, Python, data science, product analytics, data engineering, healthcare, consumer health, high-touch consumer products, product prototyping, A/B testing, user behavior analysis, data visualization, dashboarding tools, modern data stack tools, AI model development, fine-tuning, prompt engineering, model evaluation, production AI applications, healthcare AI, clinical decision support, medical NLP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ccfb615-468"},"title":"Senior Machine Learning Engineer, Public Sector","description":"<p>We are seeking a Senior Machine Learning Engineer to join our Public Sector team. As a Senior Machine Learning Engineer, you will leverage techniques in generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale&#39;s products and customer experience in production environments.</p>\n<p>Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics</li>\n<li>Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines</li>\n<li>Working with massive datasets to develop both generic models as well as fine-tune models for specific products</li>\n<li>Building scalable machine learning infrastructure to automate and optimize our ML services</li>\n<li>Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations</li>\n</ul>\n<p>Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.</p>\n<p>Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.</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>You&#39;ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. 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_1ccfb615-468","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/4281519005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,300-$300,300 USD","x-skills-required":["computer vision","deep learning","deep reinforcement learning","natural language processing","algorithms","data structures","object-oriented programming","Python","TensorFlow","PyTorch"],"x-skills-preferred":["graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization","experience working with cloud platforms","familiarity with ML evaluation frameworks and agentic model design"],"datePosted":"2026-04-18T15:56:56.828Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"computer vision, deep learning, deep reinforcement learning, natural language processing, algorithms, data structures, object-oriented programming, Python, TensorFlow, PyTorch, graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, familiarity with ML evaluation frameworks and agentic model design","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_890da396-bd8"},"title":"Head of International - Partner Solutions Architecture, Applied AI","description":"<p>Job Title: Head of International - Partner Solutions Architecture, Applied AI</p>\n<p>Location: London, UK</p>\n<p>Department: Sales</p>\n<p>As the Manager of the International Partnerships, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic&#39;s products (Claude for Enterprise, Claude Code, and API) through our Global and Regional System Integrators (GSIs/RSIs), cloud partners (AWS and GCP), and strategic technology partners across international markets.</p>\n<p>Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic&#39;s technical partner ecosystem across EMEA and beyond. You&#39;ll be responsible for leading &amp; growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.</p>\n<p>In collaboration with the Sales, Partnerships, Product, and Engineering teams, you&#39;ll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.</p>\n<p>You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Team Leadership &amp; Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output</li>\n</ul>\n<ul>\n<li>Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets</li>\n</ul>\n<ul>\n<li>Partner Ecosystem Enablement: Embed your team 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: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes 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 international partner events such as GSI customer workshops, AWS summits, and industry conferences. 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If you&#39;re excited about this role but your past experience doesn&#39;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</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_a83d61da-062","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://www.figma.com/","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/5721527004","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["8+ years professional experience","4+ years of sales engineering or solution consulting experience in a SaaS organization","Demonstrated ability to adapt to new technologies and learn quickly","Responsible for positioning technology presales, successfully establishing success criteria and leading evaluations","Familiarity with the enterprise SaaS ecosystem, front end development and product lifecycle experience"],"x-skills-preferred":["Experience using or working with Figma, or building design systems","Front end development and developer lifecycle experience"],"datePosted":"2026-04-18T15:56:49.731Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"8+ years professional experience, 4+ years of sales engineering or solution consulting experience in a SaaS organization, Demonstrated ability to adapt to new technologies and learn quickly, Responsible for positioning technology presales, successfully establishing success criteria and leading evaluations, Familiarity with the enterprise SaaS ecosystem, front end development and product lifecycle experience, Experience using or working with Figma, or building design systems, Front end development and developer lifecycle experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac82fe49-5bc"},"title":"Technical Deployment, Applied AI","description":"<p>As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.</p>\n<p>This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.</p>\n<p>You&#39;ll own engagements end-to-end, from SOW through production deployment. You&#39;ll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.</li>\n</ul>\n<ul>\n<li>Lead technical discovery. 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Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.</li>\n</ul>\n<ul>\n<li>Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.</li>\n</ul>\n<ul>\n<li>Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.</li>\n</ul>\n<ul>\n<li>Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.</li>\n</ul>\n<ul>\n<li>Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.</li>\n</ul>\n<ul>\n<li>Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).</li>\n</ul>\n<p>You May Be a Good Fit If You:</p>\n<ul>\n<li>Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.</li>\n</ul>\n<ul>\n<li>Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.</li>\n</ul>\n<ul>\n<li>Have experience in a specialised vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).</li>\n</ul>\n<ul>\n<li>Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. 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We want AI to be safe and beneficial for our users and for society as a whole.</p>\n<p>About the Role</p>\n<p>Safeguards Engineering builds and operates the infrastructure that keeps Anthropic&#39;s AI systems safe in production , the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.</p>\n<p>As a Technical Program Manager for Safeguards Infrastructure and Evals, you&#39;ll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability , owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out.</p>\n<p>Alongside that ongoing operational rhythm, you&#39;ll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth , you need to understand how these systems work well enough to triage effectively, judge what&#39;s actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.</p>\n<p>What You&#39;ll Do:</p>\n<ul>\n<li>Own the Safeguards Engineering ops review</li>\n<li>Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.</li>\n<li>Drive incident tracking and post-mortem execution</li>\n<li>Establish and maintain SLOs with partner teams</li>\n<li>Maintain runbook quality and incident-ownership clarity</li>\n<li>Drive platform migrations and infrastructure projects</li>\n<li>Coordinate evals platform improvements</li>\n</ul>\n<p>You might be a good fit if you:</p>\n<ul>\n<li>Have solid technical program management experience, particularly in operational or infrastructure-heavy environments , you&#39;re comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.</li>\n<li>Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what&#39;s going wrong and why , you don&#39;t need to write the code, but you need to follow the technical thread.</li>\n<li>Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale , these things bother you, and you know how to build the processes and follow-ups that fix them.</li>\n<li>Can work effectively across team boundaries , comfortable coordinating with partner teams (like Inference) where you don&#39;t have direct authority, and skilled at keeping shared work moving through influence and clear communication.</li>\n<li>Thrive in environments where the work shifts between &#39;keep the lights on&#39; and &#39;build something new&#39; , and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.</li>\n<li>Have experience with or strong interest in AI safety , you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have experience with SRE practices, incident management frameworks, or on-call operations at scale.</li>\n<li>Have worked on or with evaluation infrastructure for ML systems , understanding how evals get designed, run, and interpreted.</li>\n<li>Have experience driving infrastructure migrations in complex, multi-team environments , particularly where the migration touches operational systems that can&#39;t go offline.</li>\n<li>Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.</li>\n</ul>\n<p>Deadline to apply: None, applications will be received on a rolling basis.</p>\n<p>The annual compensation range for this role is listed below. For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) 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: $290,000-$365,000 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_c4e35d55-5d1","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/5108695008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$290,000-$365,000 USD","x-skills-required":["Technical Program Management","Operational or Infrastructure-heavy environments","Production ML systems","Incident management frameworks","On-call operations","Evaluation infrastructure for ML systems","Infrastructure migrations","Monitoring and alerting tooling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:34.910Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Operational or Infrastructure-heavy environments, Production ML systems, Incident management frameworks, On-call operations, Evaluation infrastructure for ML systems, Infrastructure migrations, Monitoring and alerting tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd4c118b-637"},"title":"Senior Specialist, Luxe","description":"<p>As a senior specialist in our Luxe team, you will play a pivotal role in guiding and assisting operation specialists, ensuring they have the resources and knowledge needed to excel in their roles. Your expertise will be instrumental in resolving complex queries, offering insights, and mentoring junior team members as they navigate their responsibilities. You will also have the opportunity to take on challenging stretch assignments that push your skills to new heights and contribute to your professional growth. By actively driving process improvement initiatives, you&#39;ll have a direct impact on enhancing efficiency and effectiveness within our operations.</p>\n<p>A typical day in this role will involve working closely with leads to assign daily work, monitoring queues in Upwork and host/guest support cases. You will also be responsible for leading the onboarding of new properties into the Luxe category, ensuring they align with brand, design, and experience criteria. This includes conducting interviews with home consultants, completing their onboarding process, and unblocking onboarding-related challenges by collaborating with market managers and other cross-functional teams.</p>\n<p>Your expertise will be essential in assessing walkthrough reports to determine whether a property should pass or fail Luxe criteria, providing detailed reasoning and recommendations. You will also perform visual vetting of potential Luxe listings, assessing design aesthetics, property quality, and overall luxury appeal. Additionally, you will partner with stakeholders to improve vetting frameworks, visual standards, and design benchmarks.</p>\n<p>As a subject matter expert on Luxe design and brand positioning, you will ensure consistency across all listings. You will provide feedback and recommendations to refine property evaluation guidelines and Luxe onboarding processes. You will also mentor and coach Luxe specialists on visual assessment and luxury experience standards.</p>\n<p>To be successful in this role, you will require a bachelor&#39;s degree or equivalent, with 6-8 years of experience in a customer experience, operations, hospitality, or design-led environment. You will also need a background in design, hospitality, architecture, or luxury segment, and proven ability to evaluate properties for luxury standards, including visual and experiential vetting.</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_cd4c118b-637","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7682735","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"₹630,000-₹846,000 INR","x-skills-required":["customer experience","operations","hospitality","design","Google Sheets","dashboards","data analysis","leadership","mentoring"],"x-skills-preferred":["luxury segment","visual vetting","property evaluation","onboarding processes"],"datePosted":"2026-04-18T15:56:33.677Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurugram, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"customer experience, operations, hospitality, design, Google Sheets, dashboards, data analysis, leadership, mentoring, luxury segment, visual vetting, property evaluation, onboarding processes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":630000,"maxValue":846000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c1b40ca4-8d1"},"title":"Investment Banking Expert - M&A","description":"<p><strong>About the Role</strong></p>\n<p>We are seeking a skilled Investment Banking - M&amp;A Expert to enhance xAI&#39;s AI models by providing high-quality data annotations and inputs tailored to M&amp;A investment banking contexts.</p>\n<p>In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.</p>\n<p>You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world M&amp;A dynamics.</p>\n<p>This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Utilize proprietary software to provide accurate input and labels for M&amp;A investment banking projects, ensuring high-quality data for AI model training.</li>\n<li>Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.</li>\n<li>Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.</li>\n<li>Assist in designing and improving efficient annotation tools tailored for M&amp;A investment banking data.</li>\n<li>Select and analyze complex problems in M&amp;A investment banking fields aligned with your expertise to enhance AI model performance.</li>\n<li>Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Professional experience in M&amp;A investment banking or related fields (e.g., M&amp;A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).</li>\n<li>Proficiency in reading and writing informal and professional English.</li>\n<li>Strong communication, interpersonal, analytical, and organizational skills.</li>\n<li>Excellent reading comprehension and ability to exercise autonomous judgment with limited data.</li>\n<li>Passion for technological advancements and innovation in M&amp;A investment banking.</li>\n</ul>\n<p><strong>Preferred Skills and Experience</strong></p>\n<ul>\n<li>Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).</li>\n<li>Experience mentoring or training others in M&amp;A investment banking practices, such as financial modeling, valuation, or deal execution.</li>\n<li>Comfort with recording audio or video sessions for data collection.</li>\n<li>Familiarity with AI or data annotation workflows in a technical setting.</li>\n</ul>\n<p><strong>Compensation and Benefits</strong></p>\n<p>US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview 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_c1b40ca4-8d1","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/4933187007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["Mergers and Acquisitions","Financial Modeling","Valuation Techniques","Deal Structuring","Due Diligence","Pitch Books","Fairness Opinions"],"x-skills-preferred":["Relevant certification or advanced training","Experience mentoring or training others","Comfort with recording audio or video sessions","Familiarity with AI or data annotation workflows"],"datePosted":"2026-04-18T15:56:31.770Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Mergers and Acquisitions, Financial Modeling, Valuation Techniques, Deal Structuring, Due Diligence, Pitch Books, Fairness Opinions, Relevant certification or advanced training, Experience mentoring or training others, Comfort with recording audio or video sessions, Familiarity with AI or data annotation workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61760d1e-2fd"},"title":"Engineering Manager, Global Public Sector","description":"<p>We&#39;re seeking a technical and strategic Engineering Manager to lead our Engineering efforts Internationally to power custom applications we build for our public sector clients.</p>\n<p>As an Engineering Manager, you will:</p>\n<p>Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers. Work across the entire product lifecycle from conceptualization through production. Build features end-to-end, system design, debugging and testing. Deliver experiments at a high velocity and level of quality to engage our customers. Influence the culture, values, and processes of a growing engineering team. Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences.</p>\n<p>Ideally, you&#39;d have: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred. Proven success in leading, managing, and developing high-performing Engineering teams. Expertise in identifying product engagement patterns and trends for large scale consumer products. Track record of shipping high-quality products and features at scale. Desire to work in a very fast-paced environment. Ability to turn business and product ideas into engineering solutions. 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That’s why it’s our mission to make global commerce so easy there will be more of it.</p>\n<p><strong>Exciting Trade Advisory Opportunity to Help Make Global Trade Easy</strong></p>\n<p>The global supply chain is one of the most heavily regulated industries for all parties involved. Everyone from the carriers, intermediaries, trucking companies, 3rd party logistics, freight forwarders, shippers, consignees, importers, exporters, and brokers face a challenging and complex task of navigating through a myriad of laws from the originating country, destination country as well as international treaties and conventions.</p>\n<p>The Trade Advisory team, consisting of business consultants, lawyers and licensed customs brokers, offers advanced customs and trade expertise to help clients identify supply chain risks and cost savings opportunities. Flexport is looking for a Trade Advisory Manager to help lead our Trade Advisory services.</p>\n<p><strong>You will:</strong></p>\n<p>Help lead the team of customs and trade advisors.</p>\n<p>Develop and roll out new trade advisory service offerings</p>\n<p>Own the team’s long range plan and build the strategy to grow and meet aggressive goals.</p>\n<p>Do whatever it takes to help our clients to resolve trade related questions and problems.</p>\n<p>Strive to create an agile technology focused high performance culture.</p>\n<p>Manage a team and be a proactive leader to build and grow Trade Advisory services.</p>\n<p>Own the entire portfolio of clients and projects and lead the teams responsible for execution and reporting relevant metrics.</p>\n<p>Use creativity to improve operational efficiency, leadership communication, and revenue growth.</p>\n<p>Guide trade advisory associates on researching trade related matters such as tariff classification, valuation, country of origin, trade remedies, and free trade agreements.</p>\n<p>Review, comment and help finalize client deliverables prepared by associates including memos and presentations.</p>\n<p>Monitor client deadlines and prepare submissions to CBP.</p>\n<p>Maintain active communication with clients, customs and other government authorities, and internal stakeholders.</p>\n<p>Proactively stay informed on the latest customs and other government agency regulations, ruling issuances, and industry trends that are relevant to our clients.</p>\n<p>Organize and execute internal and external trade related communications.</p>\n<p>Support Trade Advisory infrastructure and administrative requirements.</p>\n<p><strong>You should have:</strong></p>\n<p>Bachelor&#39;s degree from an accredited college/university.</p>\n<p>Must have Licensed Customs Broker required, J.D. or graduate degree</p>\n<p>Must have 10+ years trade related experience working in house, at customs brokerage, consulting or law firm.</p>\n<p>3-5 years experience managing associates, projects, and business metrics.</p>\n<p>Strong technical and business writing skills.</p>\n<p>Public speaking and presentation skills, including experience with webinars, training sessions, and client facing presentations.</p>\n<p>An advanced command of tariff classification, valuation, duty minimization and avoidance strategies, government regulations and rulings, and other trade information.</p>\n<p>Strong interpersonal skills and detail-oriented with superior organizational, multi-tasking, and problem-solving skills.</p>\n<p>Expertise with Microsoft Office suite and Google equivalents.</p>\n<p>High level of computer literacy. No paper. All digital.</p>\n<p>A “compliance first” attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.</p>\n<p><strong>Salary and Benefits</strong></p>\n<p>The US base salary range for this position is $103,320-$154,980 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_c24c9df0-820","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Flexport","sameAs":"https://www.flexport.com","logo":"https://logos.yubhub.co/flexport.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/flexport/jobs/7643567","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$103,320-$154,980 USD","x-skills-required":["Licensed Customs Broker","J.D. or graduate degree","Tariff classification","Valuation","Duty minimization and avoidance strategies","Government regulations and rulings","Microsoft Office suite","Google equivalents"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:53.390Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia, United States; Bellevue, Washington, United States; Chicago, Illinois, United States; Dallas, Texas, United States; Los Angeles, California, United States; New York City, New York, United States; San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Licensed Customs Broker, J.D. or graduate degree, Tariff classification, Valuation, Duty minimization and avoidance strategies, Government regulations and rulings, Microsoft Office suite, Google equivalents","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":103320,"maxValue":154980,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2500cb2e-f51"},"title":"Product Manager, EMEA","description":"<p>The Product Manager, EMEA will play a pivotal role in understanding the needs, pain points, and wants of users and translate those insights into innovative product features, capabilities, and marketing strategies. The ideal candidate will possess a deep understanding of the travel industry at a market and broader regional level, and have a proven track record of driving product innovation.</p>\n<p>A typical day for this role will involve building deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape. You will work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses. You will implement best-in-class product development and management practices, maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams, and advocate for and execute new products that deliver impact for our business and users.</p>\n<p>As the Product Manager based in our EMEA region, you will report to the Product Marketing Director for International Markets. You will be responsible for the success of Airbnb products throughout their life cycle , from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.</p>\n<p>This role is based either in London or Paris (or within easy commuting distance of these cities). The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range shown below is annualized, is subject to change, and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</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_2500cb2e-f51","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7775427","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€98.000-€123.000 EUR in France, £112,000-£140,000 GBP in the UK","x-skills-required":["product management","product development","product marketing","user research","marketplace data","competitive landscape","product vision","product strategy","product roadmap","best-in-class product development","product feature prioritization","product roadmap prioritization","new product development","impact analysis","business growth","user growth","team leadership","communication","influence","results-oriented","collaboration","data analysis","business acumen","innovation","entrepreneurship","start-up experience","global consumer products","ecosystems","product messaging","customer delivery","media delivery"],"x-skills-preferred":["Spanish","French","German","English","business analysis","financial analysis","market research","competitive analysis","product design","user experience","user interface","product development methodologies","agile development","scrum development","kanban development","lean development","design thinking","innovation methodologies","disruption","growth hacking","digital marketing","social media marketing","content marketing","email marketing","search engine optimization","paid advertising","native advertising","influencer marketing","event marketing","trade show marketing","experiential marketing","branding","positioning","reputation management","crisis management","public relations","media relations","communications planning","communications execution","communications measurement","communications evaluation"],"datePosted":"2026-04-18T15:55:45.861Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom, Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"product management, product development, product marketing, user research, marketplace data, competitive landscape, product vision, product strategy, product roadmap, best-in-class product development, product feature prioritization, product roadmap prioritization, new product development, impact analysis, business growth, user growth, team leadership, communication, influence, results-oriented, collaboration, data analysis, business acumen, innovation, entrepreneurship, start-up experience, global consumer products, ecosystems, product messaging, customer delivery, media delivery, Spanish, French, German, English, business analysis, financial analysis, market research, competitive analysis, product design, user experience, user interface, product development methodologies, agile development, scrum development, kanban development, lean development, design thinking, innovation methodologies, disruption, growth hacking, digital marketing, social media marketing, content marketing, email marketing, search engine optimization, paid advertising, native advertising, influencer marketing, event marketing, trade show marketing, experiential marketing, branding, positioning, reputation management, crisis management, public relations, media relations, communications planning, communications execution, communications measurement, communications evaluation","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":140000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f96e0f20-9b2"},"title":"Drawback Associate","description":"<p><strong>Job Description</strong></p>\n<p>We are seeking a Drawback Associate to join our Drawback and Refund Services branch of our Trade Management team. As a Drawback Associate, you will be responsible for optimizing our clients&#39; drawback recoveries and facilitating their drawback experience.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Prepare US and foreign duty drawback or other duty and import tax refund forms and data as necessary for establishing and maintaining our clients&#39; drawback programs</li>\n<li>Collect and analyze import, export, manufacturing, and other business documents and data</li>\n<li>Complete data entry, when necessary, to convert data into electronic form</li>\n<li>Prepare drawback claims utilizing drawback software solutions, analyze results, and troubleshoot issues</li>\n<li>Manage and maintain import, export, and other client and claim databases</li>\n<li>Submit documentation and claims to Customs and follow up as necessary</li>\n<li>Work to ensure compliance with drawback and other regulations</li>\n<li>Manage the day-to-day drawback operations for clients</li>\n<li>Assist your team and the drawback organization with tasks that will allow for timely and effective filings of claims</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong interpersonal skills and detail-oriented with superior organizational, multi-tasking, and problem-solving skills</li>\n<li>Expertise with Microsoft Office suite with emphasis on Excel and Google equivalents, analytical tools and functions highly desirable</li>\n<li>Familiarity with large sets of data</li>\n<li>Mastery of email communication. You keep the inbox at zero.</li>\n<li>High level of computer literacy. No paper. All digital.</li>\n<li>Some industry knowledge including classification, valuation, duty minimization and avoidance strategies, government regulations and rulings, and other trade information preferred.</li>\n<li>Bachelor&#39;s degree from an accredited college/university, Licensed Customs Broker preferred</li>\n<li>A &#39;compliance first&#39; attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this position is $65,000-$75,000 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_f96e0f20-9b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Flexport","sameAs":"https://www.flexport.com/","logo":"https://logos.yubhub.co/flexport.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/flexport/jobs/7409140","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$65,000-$75,000 USD","x-skills-required":["Microsoft Office","Excel","Google equivalents","Analytical tools","Data analysis","Email communication","Computer literacy"],"x-skills-preferred":["Classification","Valuation","Duty minimization and avoidance strategies","Government regulations and rulings","Trade information"],"datePosted":"2026-04-18T15:55:36.128Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia, United States; Chicago, Illinois, United States; Los Angeles, California, United States; San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Logistics","skills":"Microsoft Office, Excel, Google equivalents, Analytical tools, Data analysis, Email communication, Computer literacy, Classification, Valuation, Duty minimization and avoidance strategies, Government regulations and rulings, Trade information","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":65000,"maxValue":75000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_38ba8f1b-783"},"title":"Occupational Math Tutor","description":"<p>As an AI Tutor – Occupational Math Specialist, you&#39;ll help advance xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You&#39;ll focus on math as it is used in real-world occupational settings, such as finance, accounting, insurance, operations, logistics, skilled trades, and healthcare analytics.</p>\n<p>Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.</p>\n<p>Basic Qualifications: A Master&#39;s or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor&#39;s degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.</p>\n<p>Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.</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_38ba8f1b-783","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/4997616007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["applied mathematics","probability and statistics","financial math","optimization under constraints","geometric and measurement calculations","specialized software","proprietary tools","data labeling","data evaluation","curated data","task refinement","workflow refinement","domain expertise","tax codes","building codes","regulatory compliance","professional certifications","prior professional experience","AI Tutoring experience","experience building and reviewing complex spreadsheets","financial or risk models","dashboards","technical drawings"],"x-skills-preferred":["CFA","FRM","SOA exams","CPA","Six Sigma","PE","licensed surveyor","asset management","retail or commercial banking","insurance pricing/reserving","accounting/audit","logistics/supply chain planning","healthcare analytics","public policy analysis","skilled trades"],"datePosted":"2026-04-18T15:55:17.270Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied mathematics, probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, specialized software, proprietary tools, data labeling, data evaluation, curated data, task refinement, workflow refinement, domain expertise, tax codes, building codes, regulatory compliance, professional certifications, prior professional experience, AI Tutoring experience, experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, skilled trades"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0fc8ace0-e57"},"title":"Finance 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.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Collaborative Work: Engage in high-impact projects with partnered AI labs and platforms, developing and evaluating complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis.</li>\n<li>HFC Community: Become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.</li>\n<li>Contribute to Research Publications: Collaborate with Scale&#39;s research team to co-author technical reports and research papers.</li>\n</ul>\n<p>To be eligible, candidates must be authorised to work in the United States; visa sponsorship is not available for this role.</p>\n<p>Requirements include:</p>\n<ul>\n<li>Education: PhD, Master, BBA in Finance, Economics, or related degrees.</li>\n<li>Certifications: CFA or CPA strongly preferred.</li>\n<li>Professional Background: 5+ years in FP&amp;A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience.</li>\n<li>Skills: Strong proficiency in financial modelling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.</li>\n</ul>\n<p>Professional mindset: detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration.</p>\n<p>Why join the HFC?</p>\n<ul>\n<li>Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making.</li>\n<li>Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research.</li>\n<li>Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training.</li>\n<li>Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.</li>\n<li>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.</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_0fc8ace0-e57","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Human Frontier Collective","sameAs":"https://humanfrontiercollective.com/","logo":"https://logos.yubhub.co/humanfrontiercollective.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4565836005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"contract","x-salary-range":null,"x-skills-required":["financial modelling","valuation methodologies","forecasting","asset pricing","DCF analysis","market analysis","risk assessment"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:13.359Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Finance","industry":"Finance","skills":"financial modelling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, risk assessment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_10bf8d86-b30"},"title":"Research Engineer, Safeguards Labs","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re hiring research engineers to define and execute the Labs research agenda. You&#39;ll scope your own projects, run experiments end-to-end, and decide when an idea is ready to hand off to a production team , or when to kill it and move on.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead and contribute to research projects investigating new methods for detecting misuse of Claude, identifying malicious organisations and accounts, strengthening model safeguards, and other safety needs.</li>\n</ul>\n<ul>\n<li>Design and run offline analyses over model usage data to surface abuse patterns, build classifiers and detection systems, and evaluate their effectiveness.</li>\n</ul>\n<ul>\n<li>Develop and iterate on prototypes that could eventually feed signals into the real-time safeguards path, partnering with engineers on tech transfer.</li>\n</ul>\n<ul>\n<li>Contribute to a broader research portfolio investigating methods for detecting abusive behaviour in chat-based or agentive workflows, and for training the model to robustly refrain from dangerous responses or behaviours without over-refusing.</li>\n</ul>\n<ul>\n<li>Build evaluations and methodologies for measuring whether safeguards actually work, including in agentic settings.</li>\n</ul>\n<ul>\n<li>Write up findings clearly so they inform decisions across Trust &amp; Safety, research, and product teams.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have a track record of independently driving research projects from ambiguous problem statements to concrete results, ideally in AI, ML, security, integrity, or a related technical field.</li>\n</ul>\n<ul>\n<li>Are comfortable scoping your own work and switching between research, engineering, and analysis as a project demands.</li>\n</ul>\n<ul>\n<li>Have working familiarity with how large language models operate , sampling, prompting, training , even if LLMs aren&#39;t your primary background.</li>\n</ul>\n<ul>\n<li>Are proficient in Python and comfortable working with large datasets.</li>\n</ul>\n<ul>\n<li>Care about the societal impacts of AI and want your work to directly reduce real-world harm.</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience building and training machine learning models, including classifiers for abuse, fraud, integrity, or security applications.</li>\n</ul>\n<ul>\n<li>Knowledge of evaluation methodologies for language models and experience designing evals.</li>\n</ul>\n<ul>\n<li>Experience with agentic environments and evaluating model behaviour in them.</li>\n</ul>\n<ul>\n<li>Background in trust and safety, integrity, fraud detection, threat intelligence, or adversarial ML.</li>\n</ul>\n<ul>\n<li>Experience with red teaming, jailbreak research, or interpretability methods like steering vectors.</li>\n</ul>\n<ul>\n<li>A history of taking research prototypes and transferring them into production systems.</li>\n</ul>\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</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><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits</li>\n</ul>\n<ul>\n<li>Optional equity donation matching</li>\n</ul>\n<ul>\n<li>Generous vacation and parental leave</li>\n</ul>\n<ul>\n<li>Flexible working hours</li>\n</ul>\n<ul>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p><strong>Visa Sponsorship</strong></p>\n<ul>\n<li>We do sponsor visas! 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The quality of Claude&#39;s next generation depends on the quality of the data we train it on , and the systems you build are what make that data possible. You&#39;ll own product surfaces end-to-end , from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day.\\n\\nYou don&#39;t need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. Claude writes a lot of the code we commit, which means the bottleneck isn&#39;t typing , it&#39;s judgment, taste, and the ability to react to what researchers need next.\\n\\nYou&#39;ll iterate on data collection strategies to distill the knowledge of thousands of human experts around the world into our models, and you&#39;ll do it in a loop that closes in hours and days, not quarters or months.\\n\\nAnthropic&#39;s Reinforcement Learning organization leads the research and development that trains Claude to be capable, reliable, and safe. We&#39;ve contributed to every Claude model, with significant impact on the autonomy and coding capabilities of our most advanced models.\\n\\nOur work spans teaching models to use computers effectively, advancing code generation through RL, pioneering fundamental RL research for large language models, and building the scalable training methodologies behind our frontier production models.\\n\\nThe RL org is organized around four goals: solving the science of long-horizon tasks and continual learning, scaling RL data and environments to be comprehensive and diverse, automating software engineering end-to-end, and training the frontier production model.\\n\\nOur engineering teams build the environments, evaluation systems, data pipelines, and tooling that make all of this possible , from realistic agentic training environments and scalable code data generation to human data collection platforms and production training operations.\\n\\n### Responsibilities\\n\\n<em>   Build and extend web platforms for RL environment creation, management, and quality review , including environment configuration, versioning, and validation workflows\\n</em>   Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction\\n<em>   Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early\\n</em>   Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking\\n<em>   Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure\\n</em>   Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels\\n<em>   Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks\\n</em>   Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products\\n\\n### Requirements\\n\\n<em>   Strong software engineering fundamentals and real full-stack range , you&#39;re comfortable owning a surface from database schema to frontend\\n</em>   Proficient in Python and a modern web stack (React, TypeScript, or similar)\\n<em>   Track record of shipping systems that solved a hard problem, not just shipped on time , e.g. you built the thing that made your team 10x faster, or the internal tool nobody thought was possible\\n</em>   Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket\\n<em>   Found yourself wondering &quot;why isn&#39;t this moving faster?&quot; in previous roles , and then have done something about it\\n</em>   Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers\\n<em>   Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work\\n</em>   Thrive in a fast-moving environment where priorities shift, Claude is your pair programmer, and the next problem is often one nobody has solved before\\n<em>   Care about Anthropic&#39;s mission to build safe, beneficial AI and want your work to contribute directly to it\\n\\n### Nice to Have\\n\\n</em>   Built data collection, labeling, or annotation platforms , ideally ones that had to scale across many vendors or many task types\\n<em>   Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows\\n</em>   Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines\\n<em>   Familiarity with LLM training, fine-tuning, or evaluation workflows\\n</em>   Experience with async Python (Trio, asyncio) or high-throughput API design\\n<em>   Background in dashboards, monitoring, or observability tooling\\n</em>   Experience working directly with external vendors or partners on technical integrations\\n<em>   A background that isn&#39;t a straight line , e.g. math or physics into SWE, competitive programming, research into engineering, or a side project that outgrew its scope\\n\\n### Representative Projects\\n\\n</em>   Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks\\n<em>   Developing vendor onboarding automation that handles Docker registry access, API token management, and environment validation\\n</em>   Creating evaluation and observability dashboards that catch reward hacks, measure environment difficulty, and give real-time feedback during production training\\n<em>   Building environment quality review workflows that let researchers browse, grade, and provide feedback on training environments\\n</em>   Developing automated environment quality pipelines that validate correctness and difficulty calibration before environments hit production training\\n*   Building internal tools for browsing and analyzing training run results, environment statistics, and data collection progress</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_b2637f59-e14","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/5186067008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Modern web stack","React","TypeScript","Strong software engineering fundamentals","Full-stack range","Database schema","Frontend","Cloud infrastructure","Docker","CI/CD pipelines","LLM training","Fine-tuning","Evaluation workflows","Async Python","High-throughput API design","Dashboards","Monitoring","Observability tooling"],"x-skills-preferred":["Data collection","Labeling","Annotation platforms","Multi-tenant platforms","Role-based access","Audit trails","Vendor management workflows"],"datePosted":"2026-04-18T15:54:27.784Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Modern web stack, React, TypeScript, Strong software engineering fundamentals, Full-stack range, Database schema, Frontend, Cloud infrastructure, Docker, CI/CD pipelines, LLM training, Fine-tuning, Evaluation workflows, Async Python, High-throughput API design, Dashboards, Monitoring, Observability tooling, Data collection, Labeling, Annotation platforms, Multi-tenant platforms, Role-based access, Audit trails, Vendor management workflows","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_c9ab5cbc-dd6"},"title":"Research Engineer, Performance RL","description":"<p>We&#39;re hiring a Research Engineer to join our Code RL team within the RL organization. As a Research Engineer, you&#39;ll advance our models&#39; ability to safely write correct, fast code for accelerators.</p>\n<p>You&#39;ll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will:</p>\n<ul>\n<li>Invent, design and implement RL environments and evaluations.</li>\n<li>Conduct experiments and shape our research roadmap.</li>\n<li>Deliver your work into training runs.</li>\n<li>Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic.</li>\n</ul>\n<p>We&#39;re looking for someone with expertise in accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch), and experience with balancing research exploration with engineering implementation.</p>\n<p>Strong candidates may also have experience with reinforcement learning, porting ML workloads between different types of accelerators, and familiarity with LLM training methodologies.</p>\n<p>The annual compensation range for this role is $350,000-$850,000 USD.</p>\n<p>Please note that we&#39;re an extremely collaborative group, and we value communication skills. The easiest way to understand our research directions is to read our recent research.</p>\n<p>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_c9ab5cbc-dd6","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/5160330008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$850,000 USD","x-skills-required":["accelerator performance","ML framework programming","reinforcement learning","RL environments and evaluations","experiments and research roadmap","training runs","collaboration with researchers and engineers"],"x-skills-preferred":["CUDA","ROCm","Triton","Pallas","JAX","PyTorch","LLM training methodologies"],"datePosted":"2026-04-18T15:54:02.762Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"accelerator performance, ML framework programming, reinforcement learning, RL environments and evaluations, experiments and research roadmap, training runs, collaboration with researchers and engineers, CUDA, ROCm, Triton, Pallas, JAX, PyTorch, LLM training methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_31bc0f5d-b2a"},"title":"AI Tutor - Polish","description":"<p>As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI&#39;s mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts.</p>\n<p>Your work will focus on curating and annotating high-quality audio data to enhance Grok&#39;s global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI&#39;s handling of multilingual audio nuances.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.</li>\n</ul>\n<ul>\n<li>Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.</li>\n</ul>\n<ul>\n<li>Collaborate with technical staff to develop tasks that improve AI&#39;s ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.</li>\n</ul>\n<ul>\n<li>Work with technical staff to improve annotation tools for efficient audio workflows.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Native proficiency in Polish with exposure to diverse accents, dialects, or regional variations.</li>\n</ul>\n<ul>\n<li>Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.</li>\n</ul>\n<ul>\n<li>Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.</li>\n</ul>\n<ul>\n<li>Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.</li>\n</ul>\n<ul>\n<li>Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.</li>\n</ul>\n<ul>\n<li>Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.</li>\n</ul>\n<ul>\n<li>Commitment to developing AI that masters sophisticated multilingual audio capabilities.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.</li>\n</ul>\n<ul>\n<li>Deep understanding and taste of what good/useful Audio data is.</li>\n</ul>\n<ul>\n<li>Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.</li>\n</ul>\n<ul>\n<li>Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.</li>\n</ul>\n<ul>\n<li>Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.</li>\n</ul>\n<ul>\n<li>Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.</li>\n</ul>\n<ul>\n<li>Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.</li>\n</ul>\n<ul>\n<li>Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n</ul>\n<ul>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n</ul>\n<ul>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.</li>\n</ul>\n<ul>\n<li>For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.</li>\n</ul>\n<ul>\n<li>We are unable to provide visa sponsorship.</li>\n</ul>\n<ul>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview 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_31bc0f5d-b2a","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/5090218007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$35/hour - $45/hour","x-skills-required":["Native proficiency in Polish","Proficiency in English","Strong auditory perception","Demonstrated ability to handle multilingual audio content","Demonstrated ability to transcribe audio with high accuracy","Comfort providing high-quality voice recordings and feedback on audio samples","Strong comprehension skills","Strong communication, interpersonal, analytical, detail-oriented, and organizational skills"],"x-skills-preferred":["Exceptional attention to linguistic nuance","Deep understanding and taste of what good/useful Audio data is","Strong command of advanced transcription and annotation practices","Background in linguistics","Experience working with speech/audio datasets","Professional experience in voice work","Portfolio (voice samples, annotated transcripts, or audio-related work)","Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research"],"datePosted":"2026-04-18T15:54:00.328Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Native proficiency in Polish, Proficiency in English, Strong auditory perception, Demonstrated ability to handle multilingual audio content, Demonstrated ability to transcribe audio with high accuracy, Comfort providing high-quality voice recordings and feedback on audio samples, Strong comprehension skills, Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, Exceptional attention to linguistic nuance, Deep understanding and taste of what good/useful Audio data is, Strong command of advanced transcription and annotation practices, Background in linguistics, Experience working with speech/audio datasets, Professional experience in voice work, Portfolio (voice samples, annotated transcripts, or audio-related work), Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f7023d30-d25"},"title":"Customs Broker","description":"<p>As a Customs Senior Associate / Associate Manager at Flexport, you will play a pivotal role in ensuring the smooth movement of goods around the world. Your responsibilities will include acting as the Nominee Broker for our Corporate License application and maintenance, building and maintaining a framework for 100% compliance with ABF and DAFF regulations, and staying up-to-date with new legislation in the region/country.</p>\n<p>You will work closely with the Commercial team to attend discovery calls, provide sales support and technical customs advice, and help win new business. You will also provide high-level guidance to clients on complex customs topics and maintain excellent working relationships with clients by providing first-in-class customer service.</p>\n<p>In addition, you will manage our Australia customs P&amp;L, help build and optimise Flexport Australia&#39;s customs products and services with technology, and partner with the Commercial team to execute daily customs operations.</p>\n<p>To be successful in this role, you will need to have 5+ years of current experience in AU Customs Broking (post-qualification), familiarity with Customs product classification, valuation, free trade agreements, and a master of the local tariff, and excellent communication, interpersonal, and organisational skills.</p>\n<p>You will also need to have next-level logistical/Customs problem-solving skills, an obsession with client happiness, and a builder&#39;s mindset to shape, expand and enhance our capabilities and products for 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_f7023d30-d25","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Flexport","sameAs":"https://www.flexport.com/","logo":"https://logos.yubhub.co/flexport.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/flexport/jobs/7613392","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AU Customs Broking","Customs product classification","valuation","free trade agreements","local tariff"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:50.662Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, Australia"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Logistics","skills":"AU Customs Broking, Customs product classification, valuation, free trade agreements, local tariff"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e782cf74-f00"},"title":"Senior Demand & Supply Planner, Connected Warfare","description":"<p>Anduril Industries is seeking a world-class Senior Demand &amp; Supply Planner to join our team. The Senior Demand &amp; Supply Planner has an integral role at Anduril, having material flow responsibility throughout the entire value chain, from raw materials to finished goods shipped to customers.</p>\n<p>The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment. 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USD.</p>\n<p>Benefits:</p>\n<p>Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.</p>\n<p>UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</p>\n<p>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.</p>\n<p>Additional Benefits - Income Protection: Anduril covers life and disability insurance for all employees.</p>\n<p>Generous time off: Highly competitive PTO plans with a holiday hiatus in December.</p>\n<p>Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</p>\n<p>Family Planning &amp; Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</p>\n<p>Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.</p>\n<p>Additional work-life services, such as legal and financial support, are also available.</p>\n<p>Professional Development: Annual reimbursement for professional development - Commuter Benefits: Company-funded commuter benefits based on your region.</p>\n<p>Relocation Assistance: Available depending on role eligibility.</p>\n<p>Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</p>\n<p>UK &amp; IE Roles: Pension plan with employer match.</p>\n<p>AUS Roles: Superannuation plan.</p>\n<p>Protecting Yourself from Recruitment Scams:</p>\n<p>Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates.</p>\n<p>We&#39;ve observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers.</p>\n<p>These scammers often attempt to extract payment or sensitive personal information.</p>\n<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>\n<p>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.</p>\n<p>Please always verify communications:</p>\n<p>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</p>\n<p>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.</p>\n<p>If you suspect any suspicious activity, please verify the agency&#39;s authenticity by reaching out</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_e782cf74-f00","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/5042555007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$129,000-$171,000 USD","x-skills-required":["ERP systems","CRM systems","SQL databases","Data analysis and reporting tools","Supply chain planning systems","Lean manufacturing","Continuous improvement","Six sigma principles","Big data evaluation techniques"],"x-skills-preferred":["Master's degree","Higher education"],"datePosted":"2026-04-18T15:53:46.651Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United 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The Associate will support the Corporate Development team, CDO, CSO and CFO in leading the corporate development activities of CoreWeave.</p>\n<p>This includes managing M&amp;A processes, analysing industry trends, assessing competitive landscapes, identifying investment opportunities, and supporting marquee fundraising initiatives. 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We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren&#39;t a 100% skill or experience match. Here are a few qualities we&#39;ve found compatible with our team. If some of this describes you, we&#39;d love to talk.</p>\n<ul>\n<li>You love digging into complex financial problems and solving them with precision.</li>\n</ul>\n<ul>\n<li>You&#39;re curious about how AI, cloud, and digital infrastructure are reshaping the global economy.</li>\n</ul>\n<ul>\n<li>You&#39;re an expert in financial modelling, valuation, and supporting high-impact transactions.</li>\n</ul>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on. We&#39;re not afraid of a little chaos, and we&#39;re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n</ul>\n<ul>\n<li>Act Like an Owner</li>\n</ul>\n<ul>\n<li>Empower Employees</li>\n</ul>\n<ul>\n<li>Deliver Best-in-Class Client Experiences</li>\n</ul>\n<ul>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>\n<p>The base salary range for this role is $125,000 to $155,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits programme (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we&#39;ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n</ul>\n<ul>\n<li>100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Programme (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data centre locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</p>\n<p>CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. 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However, they encourage candidates to apply and continuously review applications.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own research projects on training and performance analysis of multimodal AI models.</li>\n<li>Curate and build large-scale datasets and evaluation benchmarks to advance vision capabilities.</li>\n<li>Work with data infrastructure engineers, pretraining researchers and engineers, and product teams to create frontier multimodal models and the products that leverage them.</li>\n<li>Publish and present research that moves the entire community forward.</li>\n</ul>\n<p>Skills and Qualifications:</p>\n<ul>\n<li>Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.</li>\n<li>Understanding of machine learning fundamentals, large-scale training, and distributed compute environments.</li>\n<li>Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).</li>\n<li>Comfortable with debugging distributed training and writing code that scales.</li>\n<li>Bachelor&#39;s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.</li>\n</ul>\n<p>Preferred qualifications include research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture design, experience developing evaluation frameworks for multimodal tasks, publications or open-source contributions in vision-language modeling, video understanding, or multimodal AI, and a strong grasp of probability, statistics, and ML fundamentals.</p>\n<p>Logistics:</p>\n<ul>\n<li>Location: San Francisco, California.</li>\n<li>Compensation: $350,000 - $475,000 USD per year, depending on background, skills, and experience.</li>\n<li>Visa sponsorship: Yes.</li>\n<li>Benefits: Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.</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_4ced2159-802","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5002288008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD per year","x-skills-required":["Python","Deep learning framework (e.g., PyTorch, TensorFlow, or JAX)","Machine learning fundamentals","Large-scale training","Distributed compute environments"],"x-skills-preferred":["Visual reasoning","Spatial understanding","Multimodal architecture design","Evaluation frameworks for multimodal tasks","Vision-language modeling","Video understanding","Multimodal AI"],"datePosted":"2026-04-18T15:52:43.848Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Deep learning framework (e.g., PyTorch, TensorFlow, or JAX), Machine learning fundamentals, Large-scale training, Distributed compute environments, Visual reasoning, Spatial understanding, Multimodal architecture design, Evaluation frameworks for multimodal tasks, Vision-language modeling, Video understanding, Multimodal AI","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_37ae6058-f62"},"title":"Account Executive, Emerging AI Products","description":"<p>We&#39;re looking for an Account Executive to join our Customer Agent team. 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Automotive based in Tokyo, you&#39;ll drive the adoption of safe, frontier AI technology across Japan&#39;s manufacturing and automotive industries valign=&quot;top&quot;\\n\\nYou&#39;ll own the full sales cycle from prospecting to closing, working with senior leaders at OEMs, tier-1 suppliers, and industrial manufacturers to help them accelerate R&amp;D, optimize production operations, and transform engineering and knowledge work with Anthropic&#39;s AI solutions.\\n\\n\\n### Responsibilities:\\n\\n- Own and exceed revenue targets by winning new accounts and expanding relationships across Japan&#39;s major automotive OEMs, tier-1 and tier-2 suppliers, heavy industry manufacturers, electronics manufacturers, and industrial equipment companies\\n\\n- Build and execute territory plans, identifying high-value opportunities across passenger vehicle and commercial vehicle OEMs, automotive parts suppliers, industrial machinery manufacturers, semiconductor and electronics producers, and materials/chemicals companies\\n\\n- Lead consultative sales processes with senior stakeholders , including chief engineers, R&amp;D directors, heads of digital transformation, manufacturing engineering leaders, connected-vehicle and software-defined vehicle (SDV) leads, and plant operations executives , positioning AI as a driver for engineering productivity, design and simulation acceleration, supply chain intelligence, factory floor optimization, and in-vehicle/product experiences\\n\\n- Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions tailored to the rigorous safety, quality, and reliability standards of automotive and manufacturing workflows, while respecting IP protection and data sovereignty requirements\\n\\n- Stay deeply informed about trends across Japan&#39;s manufacturing and automotive sectors and global industry shifts , including electrification, SDV, autonomous driving, Industry 4.0, and smart factory initiatives , ensuring Anthropic is consistently positioned as a relevant and forward-thinking partner to companies navigating rapid technological transformation\\n\\n### Requirements:\\n\\n- 8+ years of enterprise sales experience in Japan with significant exposure to the manufacturing or automotive industry , whether selling directly into OEMs, tier-1 suppliers, industrial manufacturers, or adjacent technology partners (PLM, CAD/CAE, MES, industrial software, cloud/data platforms) within the ecosystem\\n\\n- A genuine understanding of how product development, manufacturing operations, and engineering organizations work in Japan, including the distinct dynamics of keiretsu relationships, long-cycle OEM–supplier partnerships, and the coexistence of traditional monozukuri culture with digital transformation initiatives\\n\\n- A track record of building trusted relationships with technically sophisticated engineering and manufacturing teams, navigating organizations where chief engineers, R&amp;D leaders, and plant/operations executives hold significant influence over technology decisions alongside traditional IT leadership\\n\\n- Demonstrated ability to manage complex, multi-stakeholder sales cycles typical of automotive and manufacturing enterprises , where decisions often involve multiple business units, rigorous POC and evaluation processes, and long-horizon strategic planning\\n\\n- Proven experience exceeding revenue targets by identifying and closing opportunities across a diverse portfolio of manufacturing and automotive companies with varying scales, business models, and digital maturity\\n\\n- A knack for bringing order to chaos and an enthusiastic &quot;roll up your sleeves&quot; mentality , you are a true team player who thrives in ambiguous, startup-like environments\\n\\n- A strategic, analytical approach to identifying opportunities within Japan&#39;s manufacturing and automotive sectors combined with relationship-focused execution that earns trust with engineering, manufacturing, and business leaders alike\\n\\n- A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit\\n\\n- Excellent communication skills in both Japanese and English\\n\\n### What We Offer:\\n\\n- Competitive base salary and commission structure commensurate with experience\\n\\n- Equity participation\\n\\n- Comprehensive benefits package\\n\\n- Hybrid work model with flexibility\\n\\n- Access to cutting-edge AI technology and world-class research team\\n\\n### Logistics:\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-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.\\n\\nVisa 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.\\n\\nWe 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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour 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.\\n\\n### How we&#39;re different\\n\\nWe 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.\\n\\nThe 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,\\n\\n</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_d223b5b3-c2d","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/5104760008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["enterprise sales experience","manufacturing or automotive industry","keiretsu relationships","long-cycle OEM–supplier partnerships","traditional monozukuri culture","digital transformation initiatives","complex, multi-stakeholder sales cycles","rigorous POC and evaluation processes","long-horizon strategic planning","AI systems","Japanese and English communication skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:16.208Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Automotive","skills":"enterprise sales experience, manufacturing or automotive industry, keiretsu relationships, long-cycle OEM–supplier partnerships, traditional monozukuri culture, digital transformation initiatives, complex, multi-stakeholder sales cycles, rigorous POC and evaluation processes, long-horizon strategic planning, AI systems, Japanese and English communication skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d400de24-26e"},"title":"Applied AI Engineer (Digital Natives Business)","description":"<p><strong>About the Role</strong></p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide a focused portfolio of customers from technical discovery through successful deployment. 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By bringing the expertise, technology, and business model of the 21st century&#39;s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.</p>\n<p>As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p>\n<p>This position will be filled by a highly motivated Flight Test Avionics Technician with a passion for developmental flight test of a new and revolutionary products contributing valued mechanical expertise in all fields of aircraft maintenance.</p>\n<p>You will work heavily with the program leadership and a wide spectrum of cross-departments to help build a team focused on solving hard problems and changing the industry forever.</p>\n<p>The role will be responsible for aircraft mechanical assessment, maintenance coordination, flight execution, and reporting on all facets of aircraft readiness to the test program.</p>\n<p>The Test and Evaluation team at Anduril works across the entire spectrum of products and business lines, as well as all flight operations and test range management.</p>\n<p>Our team conducts full system level development testing, new production acceptance testing, sub-component qualification testing and much more.</p>\n<p>In short, if it involves test, we support it.</p>\n<p>If you are interested in working in an extremely innovative and fast-paced environment, where your work directly makes an impact and difference in the products that are fielded, this is a fantastic opportunity.</p>\n<p>Responsibilities:</p>\n<p>Service, troubleshoot, repair, inspect, and maintain aircraft avionics and ground support equipment in support of test operations and sustainment activities in accordance with maintenance documentation.</p>\n<p>Modify, install, and test electronics and mechanical equipment as part of customer and company modification and test efforts.</p>\n<p>Correct major and minor discrepancies by removal, repair, or replacement of defective avionics, electrical, payloads and subsystems.</p>\n<p>Perform scheduled maintenance and functional checks on aircraft avionics, electrical, and subsystems.</p>\n<p>Ability to fabricate, upgrade and modify aircraft harnesses, coax cables and fiber optic as well as install and checkout with limited engineering guidance.</p>\n<p>Load and maintain software configuration on Aircraft and Ground Segment.</p>\n<p>Extensive experience with software loads and regressions in a development environment.</p>\n<p>Upkeep of DTED, WX, Aeronautical Charts, and other supporting information for GCS mission planning systems.</p>\n<p>Troubleshoot, repair, and maintain aircraft and subsystems including landing gear, fuel system, flight control, and propulsion.</p>\n<p>Conduct a variety of aircraft ground operations including Launch, Recovery, and Ground Engine run-up.</p>\n<p>Perform standard preflight maintenance on prototype and experimental aircraft.</p>\n<p>Complete aircraft and equipment documentation.</p>\n<p>Communicate avionics assessment with engineering and manufacturing personnel.</p>\n<p>Perform proper FOD and tool control practices.</p>\n<p>Required Qualifications:</p>\n<p>Excellent communication and teamwork abilities.</p>\n<p>Proficient with computer use (standard browser, word processing applications).</p>\n<p>Extensive experience and training in Install, troubleshooting and checkout of flight test instrumentation systems to include but not limited to strain gauges, accelerometers, string pots and all associated wiring.</p>\n<p>Capable to perform tasks independently, manage time effectively, and make decisions without constant supervision or guidance.</p>\n<p>Ability to meticulously interpret and work from engineering drawings and draft procedures, ensuring accuracy in translating technical specifications into practical applications.</p>\n<p>Willing to be multi-capable. 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As a Sr. Staff Data &amp; Applied Scientist, GenAI &amp; Labeling Platforms, you will lead high-impact technical work in the space of Generative AI-powered labeling and evaluation systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Driving high-impact scientific work across GenAI-powered labeling and evaluation systems</li>\n<li>Identifying opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency</li>\n<li>Developing prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows</li>\n<li>Designing rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs</li>\n<li>Partnering with engineering, product, and data science teams to shape roadmaps and productionize successful approaches</li>\n<li>Establishing strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight</li>\n<li>Creating reusable methods and frameworks that can scale across teams and use cases</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data</li>\n<li>Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems</li>\n<li>Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products</li>\n<li>Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions</li>\n<li>Proven track record of writing high-quality code and using technical work to influence product or platform direction</li>\n<li>Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment</li>\n<li>Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities</li>\n<li>Self-directed learning mindset and comfort working in a rapidly evolving technical landscape</li>\n<li>Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred</li>\n</ul>\n<p>In-office requirement statement: This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</p>\n<p>Relocation statement: This position is not eligible for relocation assistance.</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_5f12e37f-373","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7775686","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,738-$402,990 USD","x-skills-required":["Data Science","Machine Learning","Generative AI","Labeling Systems","Evaluation Frameworks","Human Judgment Workflows","Internal AI Tooling"],"x-skills-preferred":["LLMs","Prompt Optimization","Task Decomposition","Quality Estimation","Routing","Human-in-the-Loop Workflows"],"datePosted":"2026-04-18T15:51:34.310Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Machine Learning, Generative AI, Labeling Systems, Evaluation Frameworks, Human Judgment Workflows, Internal AI Tooling, LLMs, Prompt Optimization, Task Decomposition, Quality Estimation, Routing, Human-in-the-Loop Workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195738,"maxValue":402990,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b235a7de-258"},"title":"Director, Technical Accounting – M&A and Investments","description":"<p>We are seeking a Director of Technical Accounting – M&amp;A and Investments to join our Finance team at Anthropic. 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We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.</p>\n<p>More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.</p>\n<p>We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.</p>\n<p>Visit dialpad.com to learn more.</p>\n<p>Being a Dialer --------------- AI isn’t just a feature; it’s how our teams do their best work every day. 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Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.</p>\n<p>We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.</p>\n<p>Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.</p>\n<p>Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.</p>\n<p>Dialpad is an equal-opportunity employer. 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Prior corporate development experience is preferred.</li>\n<li>Bachelor’s degree in a technical/quantitative or business-related field or equivalent practical experience. Degree in an engineering field is a bonus.</li>\n<li>Interest in and knowledge of the internet infrastructure landscape and business models. Prior experience in cybersecurity, infrastructure, developer tools, and other B2B SaaS businesses is a bonus.</li>\n<li>Exceptionally high levels of curiosity, empathy, and accountability.</li>\n<li>Experience executing on high-visibility, time-sensitive strategic initiatives. Willingness to roll up your sleeves and take on tasks no matter how big or small.</li>\n<li>Excellent interpersonal and communication skills to articulate contractual, technical, financial and value points.</li>\n<li>Self-directed and self-motivated; excellent communicator and ability to build trust with both internal and external stakeholders.</li>\n</ul>\n<p>Compensation</p>\n<ul>\n<li>For Bay Area based hires: Estimated annual salary of $181,000 - $221,000</li>\n<li>For New York based hires: Estimated annual salary of $172,000 - $210,000</li>\n</ul>\n<p>Equity</p>\n<p>This role is eligible to participate in Cloudflare’s equity plan.</p>\n<p>Benefits</p>\n<p>Cloudflare offers a complete package of benefits and programs to support you and your family. 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As a Senior Data Scientist, you will play a key role in building and protecting trust on the Airbnb platform by ensuring that the content on Airbnb, including listings, profiles, messages and other user-generated experiences, is accurate, authentic and aligned with our policies and community standards.</p>\n<p>This role is unique in that it directly improves the safety, trust, and quality of real-world user experiences by advancing Airbnb&#39;s ability to understand, interpret and act on content at scale. You will help shape how the platform reasons about listings, profiles, messages and other user-generated content by building the next generation of Trust Content Understanding Models.</p>\n<p>The ideal candidate is a motivated and talented &#39;full-stack&#39; Data Scientist with strong applied ML intuition and a bias toward impact, who can own and drive forward challenging, high-visibility initiatives such as:</p>\n<ul>\n<li>Advance Airbnb&#39;s content integrity capabilities by building Natural Language Processing (NLP) and LLM-based models that understand intent, policy compliance, quality and risk across listings, profiles, and user communications</li>\n</ul>\n<ul>\n<li>Develop high-performing models for detecting problematic or misleading content, including text classification, semantic similarity, information extraction and generative model-based reasoning for policy interpretation and enforcement</li>\n</ul>\n<ul>\n<li>Design and optimize human-in-the-loop Machine Learning (ML) systems for content review, labeling, escalation and continuous model improvement</li>\n</ul>\n<ul>\n<li>Build systems to detect emerging content risks and abuse patterns across regions, cohorts and surfaces using statistical, ML and representation-learning approaches</li>\n</ul>\n<ul>\n<li>Design intelligent sampling and evaluation strategies to measure rare events, policy recall, false positives/negatives and model blind spots in large-scale content systems</li>\n</ul>\n<p>A Typical Day:</p>\n<ul>\n<li>Artificial Intelligence / Machine Learning: Build and deploy production AI/ML systems for content integrity and trust content understanding, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings.</li>\n</ul>\n<ul>\n<li>Inference: Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes.</li>\n</ul>\n<ul>\n<li>Optimization: Develop frameworks to analyze tradeoffs between enforcement accuracy, user experience, operational cost and coverage, and propose strategies to optimize overall system effectiveness.</li>\n</ul>\n<ul>\n<li>Communication &amp; Collaboration: Deliver robust research reports with effective data visualizations, clear storytelling and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering and operations</li>\n</ul>\n<ul>\n<li>Empowerment: Think strategically about how to scale and evolve Airbnb&#39;s content integrity defenses, helping define the long-term vision for the role of AI-driven content understanding across the Trust ecosystem.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.</li>\n</ul>\n<ul>\n<li>State-of-the-art knowledge of AI/ML models</li>\n</ul>\n<ul>\n<li>Hands-on experience building, evaluating, and deploying NLP and LLM-based solutions, including text classification, information extraction, semantic understanding or generative applications.</li>\n</ul>\n<ul>\n<li>Working knowledge of causal inference</li>\n</ul>\n<ul>\n<li>Skilled in statistical programming (Python or R) and database usage (SQL)</li>\n</ul>\n<ul>\n<li>Proven ability to communicate clearly and effectively to audiences of varying technical levels</li>\n</ul>\n<ul>\n<li>Ability to translate complex findings and results into compelling narratives that drive impact</li>\n</ul>\n<ul>\n<li>Excellent project management, communication, and collaboration skills</li>\n</ul>\n<ul>\n<li>Trust &amp; Safety experience is a plus</li>\n</ul>\n<p>Your Location:</p>\n<p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</p>\n<p>Pay Range $177,000-$208,000 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_40a343d1-388","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7594971","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,000-$208,000 USD","x-skills-required":["Natural Language Processing (NLP)","LLM-based models","text classification","semantic similarity","information extraction","generative model-based reasoning","policy interpretation and enforcement","human-in-the-loop Machine Learning (ML)","content review","labeling","escalation","continuous model improvement","statistical","representation-learning approaches","intelligent sampling","evaluation strategies","rare events","policy recall","false positives/negatives","model blind spots","large-scale content systems","Python","R","SQL","causal inference","statistical programming","database usage"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:24.814Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Natural Language Processing (NLP), LLM-based models, text classification, semantic similarity, information extraction, generative model-based reasoning, policy interpretation and enforcement, human-in-the-loop Machine Learning (ML), content review, labeling, escalation, continuous model improvement, statistical, representation-learning approaches, intelligent sampling, evaluation strategies, rare events, policy recall, false positives/negatives, model blind spots, large-scale content systems, Python, R, SQL, causal inference, statistical programming, database usage","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177000,"maxValue":208000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8549c317-12f"},"title":"Senior Research Scientist, Reward Models","description":"<p>As a Senior Research Scientist on our Reward Models team, you&#39;ll lead research efforts to improve how we specify and learn human preferences at scale.</p>\n<p>Your work will directly shape how our models understand and optimize for what humans actually want , enabling Claude to be more useful, more reliable, and better aligned with human values.</p>\n<p>This role focuses on pushing the frontier of reward modeling for large language models. You&#39;ll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking.</p>\n<p>You&#39;ll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.</p>\n<p>We&#39;re looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You&#39;ll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources.</p>\n<p>Your work will directly advance the science of how we train AI systems to be both highly capable and safe.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead research on novel reward model architectures and training approaches for RLHF</li>\n</ul>\n<ul>\n<li>Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability</li>\n</ul>\n<ul>\n<li>Research techniques to detect, characterize, and mitigate reward hacking and specification gaming</li>\n</ul>\n<ul>\n<li>Design experiments to understand reward model generalization, robustness, and failure modes</li>\n</ul>\n<ul>\n<li>Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines</li>\n</ul>\n<ul>\n<li>Contribute to research publications, blog posts, and internal documentation</li>\n</ul>\n<ul>\n<li>Mentor other researchers and help build institutional knowledge around reward modeling</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have a track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning</li>\n</ul>\n<ul>\n<li>Have experience training and evaluating reward models for large language models</li>\n</ul>\n<ul>\n<li>Are comfortable designing and running large-scale experiments with significant computational resources</li>\n</ul>\n<ul>\n<li>Can work effectively across research and engineering, iterating quickly while maintaining scientific rigor</li>\n</ul>\n<ul>\n<li>Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences</li>\n</ul>\n<ul>\n<li>Care deeply about building AI systems that are both highly capable and safe</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have published research on reward modeling, preference learning, or RLHF</li>\n</ul>\n<ul>\n<li>Have experience with LLM-as-judge approaches, including calibration and reliability challenges</li>\n</ul>\n<ul>\n<li>Have worked on reward hacking, specification gaming, or related robustness problems</li>\n</ul>\n<ul>\n<li>Have experience with constitutional AI, debate, or other scalable oversight approaches</li>\n</ul>\n<ul>\n<li>Have contributed to production ML systems at scale</li>\n</ul>\n<ul>\n<li>Have familiarity with interpretability techniques as applied to understanding reward model behavior</li>\n</ul>\n<p>The annual compensation range for this role is $350,000-$500,000 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. 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