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As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real-life enterprise datasets across our clients + benchmarks. 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The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. 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As our Search product continues to evolve, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.</p>\n<p>Key Responsibilities: Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks&#39; products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.</p>\n<p>What We’re Looking For: BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 6+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance - Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects.</p>\n<p>Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.</p>\n<p>About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b4f04efb-515","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7958967002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Search relevance systems","Machine learning","Natural language processing","Text mining","Recommendations","Personalization","Discovery","Conversational AI"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:37.399Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Search relevance systems, Machine learning, Natural language processing, Text mining, Recommendations, Personalization, Discovery, Conversational AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8871a994-591"},"title":"Machine Learning Engineer, Core Engineering","description":"<p>We&#39;re seeking a talented Machine Learning Engineer to join our Core Engineering team. As a Machine Learning Engineer at Pinterest, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces, while gaining knowledge of how ML works in different areas.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li>\n<li>Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas</li>\n<li>Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval</li>\n<li>Work in a high-impact environment with quick experimentation and product launches</li>\n<li>Keep up with industry trends in recommendation systems</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)</li>\n<li>End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)</li>\n<li>Degree in computer science, machine learning, statistics, or related field</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>M.S. or PhD in Machine Learning or related areas</li>\n<li>Publications at top ML conferences</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n<li>Expertise in scalable real-time systems that process stream data</li>\n<li>Passion for applied ML and the Pinterest product</li>\n</ul>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance. 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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. 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Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.</p>\n<p>Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. 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. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. We are unable to provide visa sponsorship. 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.</p>\n<p>Compensation and Benefits: 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. 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. 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We&#39;re close to the people shaping Claude&#39;s next capabilities, and our job is to make sure the world can actually use them.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Build at the frontier - Co-develop vision and own strategy and execution for AI-native learning products , the adaptive systems, assessments, and in-product experiences that will define how people learn with and about frontier AI Work closely with research teams to understand emerging capabilities and what they unlock for learners , you&#39;re translating research into product, not waiting for a spec Prototype and experiment to validate ideas quickly, using Claude and our internal tools as building blocks Anticipate how capability shifts change the product and build with that trajectory in mind Stay close to learners , run user research, watch real people move from &quot;I don&#39;t understand this&quot; to &quot;I could teach this,&quot; and let what you observe reshape what we build</p>\n<p>Be a thought partner Push the team&#39;s thinking on what education should look like as AI capabilities accelerate , help us spot what we&#39;re missing, not just execute what we&#39;ve already decided Bring product rigor to a team that&#39;s scaling fast: clear priorities, sharp tradeoffs, honest metrics that connect learning to real behavior change Act as a bridge between research, product, GTM, marketing, comms, and the education team, translating in all directions</p>\n<p>See the whole picture Collaboratively define success metrics grounded in demonstrated understanding, skill progression, and lasting agency , not time-on-site or completion counts Keep a hand in the success of adjacent team efforts, helping the overall education portfolio work as a system rather than a collection of projects Partner across Anthropic , product teams, research, GTM, societal impacts, marketing , to keep education woven into how we ship and scale Run the program, not just the product: drive stakeholder alignment across technical and non-technical partners, keep workstreams on track, and own the operational rhythm that turns strategy into shipped work</p>\n<p><strong>You may be a good fit if you have</strong></p>\n<p>5+ years in product management, with a track record of shipping products from zero to one and seeing them through to real impact Technical fluency , you&#39;re comfortable with AI tools, can prototype with Claude, and hold your own in conversations with researchers and engineers Genuine curiosity about frontier AI , you follow what&#39;s emerging, you play with new capabilities, and you have opinions about where things are heading Comfort with ambiguity and wide scope , you make good calls with incomplete information and you&#39;re not precious about where your job ends A track record as a force multiplier on small teams , you make the people around you more effective, not just your own roadmap Strong written and verbal communication , you can write a crisp spec, present to leadership, and synthesize messy stakeholder input into a clear direction Conviction that education should build agency, not dependency , you want to teach people to think with AI, and you believe that matters</p>\n<p><strong>Strong candidates may also have</strong></p>\n<p>Experience working closely with research or applied science teams, or a background that makes you fluent in how research becomes product Background in learning products, developer education, or curriculum design Founder experience or time at an early-stage company where scope was wide and you wore many hats Familiarity with how people actually learn , learning science, instructional design, or strong instincts from having taught something yourself Experience building with LLMs as core product infrastructure, not just as a feature</p>\n<p><strong>What this role is not</strong></p>\n<p>This is a hands-on IC product, project, and program management role. You&#39;ll shape strategy, push the team&#39;s thinking, and have real influence over what education at Anthropic becomes, and coordinate complex execution across multiple stakeholders and teams , but it doesn&#39;t involve people management. If you&#39;re looking to immediately lead a team, this isn&#39;t the right fit. If you want broad scope and high autonomy as a builder, it might be.</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_ffcfd247-bc1","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/5183006008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$305,000-$460,000 USD","x-skills-required":["Product Management","AI Tools","Claude","Research","Product Development","User Research","Learning Science","Instructional Design","Curriculum Design","LLMs"],"x-skills-preferred":["Frontier AI","Machine Learning","Deep Learning","Natural Language Processing","Computer Vision"],"datePosted":"2026-04-18T15:50:43.289Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, AI Tools, Claude, Research, Product Development, User Research, Learning Science, Instructional Design, Curriculum Design, LLMs, Frontier AI, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":305000,"maxValue":460000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b596c5ae-0e1"},"title":"Manager II, Machine Learning-Search","description":"<p>About Pinterest</p>\n<p>At Pinterest, we&#39;re on a mission to bring everyone the inspiration to create a life they love. We&#39;re looking for a technical leader and engineering manager to help lead the search backend team.</p>\n<p>The search backend team is responsible for major areas of the search engine, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. The team also works on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead the search backend team to develop and maintain a scalable and efficient search engine</li>\n<li>Collaborate with other engineering teams to bring superior search experience to users</li>\n<li>Drive the vision for the team and provide visibility for senior leadership into the team&#39;s global impact</li>\n<li>Partner with stakeholders to expand impact across the company</li>\n<li>Mentor and grow managers, leaders and engineers on the team</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Experience leading and working on a large-scale production search, recommendation or ads systems</li>\n<li>Applied machine learning experience is strongly preferred</li>\n<li>Ability to drive the roadmap and directions of scalable production quality systems end-to-end</li>\n<li>A knack for product and impact on users of a consumer product</li>\n<li>3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience</li>\n<li>Bachelors degree in computer science or related technical field, or equivalent experience</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n</ul>\n<p>In-Office Requirement Statement</p>\n<p>We let the type of work you do guide the collaboration style. That means we&#39;re not always working in an office, but we continue to gather for key moments of collaboration and connection.</p>\n<p>Relocation Statement</p>\n<p>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</p>\n<p>#LI-REMOTE #LI-DM57</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_b596c5ae-0e1","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/7239260","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,308-$389,753 USD","x-skills-required":["Machine Learning","Big Data Technology","Natural Language Processing","Computer Vision","Recommendation Systems","AI Coding Assistants","LLM-Powered Productivity Tools"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:21.820Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Big Data Technology, Natural Language Processing, Computer Vision, Recommendation Systems, AI Coding Assistants, LLM-Powered Productivity Tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189308,"maxValue":389753,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_46c30960-10d"},"title":"AI Applied Scientist","description":"<p>We&#39;re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to improve Figma&#39;s products.</p>\n<p>What you&#39;ll do at Figma:</p>\n<ul>\n<li>Drive fundamental and applied research in AI.</li>\n<li>Explore the boundaries of what is possible with the current technology set to build best in class models for Figma&#39;s domains.</li>\n<li>Combine industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation.</li>\n<li>Work in concert with product and infrastructure engineers to improve Figma&#39;s products through AI powered features.</li>\n<li>Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems.</li>\n<li>Build evaluation systems to measure and improve quality of AI features in Figma products.</li>\n</ul>\n<p>We&#39;d love to hear from you if you have:</p>\n<ul>\n<li>Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments.</li>\n<li>Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc.</li>\n<li>Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO.</li>\n<li>4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision.</li>\n<li>Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R).</li>\n<li>Experience communicating and working across functions to drive solutions.</li>\n</ul>\n<p>While not required, It’s an added plus if you also have:</p>\n<ul>\n<li>Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision.</li>\n<li>Experience in mentoring/influencing senior engineers across organizations.</li>\n<li>Expertise working on large scale and distributed AI training.</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_46c30960-10d","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/5707966004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$153,000-$376,000 USD","x-skills-required":["Generative AI","Machine Learning","Artificial Intelligence","Deep Learning","PyTorch","JAX","HuggingFace","Reinforcement Learning","Natural Language Processing","Computer Vision","Python","C++","Java","R"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:15.355Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, Machine Learning, Artificial Intelligence, Deep Learning, PyTorch, JAX, HuggingFace, Reinforcement Learning, Natural Language Processing, Computer Vision, Python, C++, Java, R","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":153000,"maxValue":376000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e6544bc-9bc"},"title":"Staff Machine Learning Engineer, Listings and Host Tools Data and AI","description":"<p>We&#39;re looking for a Staff Machine Learning Engineer to join our Listings and Host Tools Data and AI team. As a member of this team, you will support host personalization products and provide data-driven solutions to achieve a superior host experience on Airbnb.</p>\n<p>The Listings and Host Tools Data and AI team owns data pipelines and ML models and builds services for serving that are used in the above areas. We leverage open source, third-party, and homegrown ML models to improve the Host and Guest experience.</p>\n<p>As an ML engineer, you will partner closely with our data science, product partners, and other ML + data engineers on the team to execute on these opportunities in order to improve the Host and Guest product experience on Airbnb.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Working with large-scale structured and unstructured data to build and continuously improve cutting-edge Machine Learning models for Airbnb product, business, and operational use cases.</li>\n</ul>\n<ul>\n<li>Collaborating with cross-functional partners, including software engineers, product managers, operations, and data scientists, to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.</li>\n</ul>\n<ul>\n<li>Prototyping machine learning use cases for use in the product and working with stakeholders to iterate on requirements.</li>\n</ul>\n<ul>\n<li>Developing, productionizing, and operating Machine Learning models and pipelines at scale, including both batch and real-time use cases.</li>\n</ul>\n<ul>\n<li>Designing and building services and APIs to enable serving ML model-driven data to product use cases.</li>\n</ul>\n<p>We&#39;re looking for someone with 8+ years of industry experience in applied Machine Learning, including a Master&#39;s or Ph.D. in a relevant field. You should have experience in both Natural Language Processing and Computer Vision, as well as strong programming and data engineering skills.</p>\n<p>You should also have a deep understanding of Machine Learning best practices, algorithms, and domains, as well as experience with technologies such as TensorFlow, PyTorch, Kubernetes, Spark, Airflow, and data warehouses.</p>\n<p>If you&#39;re passionate about building end-to-end Machine Learning infrastructure and productionizing Machine Learning models, we&#39;d love to hear 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_6e6544bc-9bc","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/7454348","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$204,000-$255,000 USD","x-skills-required":["Machine Learning","Natural Language Processing","Computer Vision","Programming","Data Engineering","TensorFlow","PyTorch","Kubernetes","Spark","Airflow","Data Warehouses"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:48:25.034Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Natural Language Processing, Computer Vision, Programming, Data Engineering, TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Data Warehouses","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":204000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_40a343d1-388"},"title":"Senior Data Scientist, Platform (Algorithms/Trust)","description":"<p>We&#39;re looking for a Senior Data Scientist to join our Content Integrity Data Science team. 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. 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We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.</p>\n<p>If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p>\n<p>The US base salary range for this position is between $111,000 USD - $159,000 USD + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p>\n<p>Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy</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_404f2fc5-74b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7786257","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$111,000 USD - $159,000 USD + bonus + benefits","x-skills-required":["AI","talent acquisition","recruitment","hiring","candidate outreach","market intel","data analysis","synthesis","insights"],"x-skills-preferred":["Google Cloud","machine learning","natural language processing","data 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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_17620573-a87","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/5090268007","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$35/hour - $45/hour","x-skills-required":["Multilingual audio capabilities","Proprietary software","Audio data curation","Annotation tools","Speech recognition","Auditory experiences","Natural language processing","Language barriers","Speech processing","Multilingual audio nuances"],"x-skills-preferred":["Exceptional attention to linguistic nuance","Auditory detail","Data quality","Advanced transcription and annotation practices","Disfluencies","Accents","Prosodic features","Linguistics","Speech sciences","Cognitive science","Voice work","Voice acting","Voice recording","Podcasting","Independent judgment","Defensible annotation decisions"],"datePosted":"2026-04-18T15:21:26.846Z","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, Natural language processing, Language barriers, Speech processing, Multilingual audio nuances, Exceptional attention to linguistic nuance, Auditory detail, Data quality, Advanced transcription and annotation practices, Disfluencies, Accents, Prosodic features, Linguistics, Speech sciences, Cognitive science, Voice work, Voice acting, Voice recording, Podcasting, Independent judgment, Defensible annotation decisions"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_04db8d7b-34e"},"title":"Applied AI Engineer II","description":"<p>As an Applied AI Engineer II, you will be tasked with building and maintaining best-of-breed products as part of a small and nimble development team. 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To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.</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_253a76ff-ceb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/b7d3a770-946b-4b08-92d3-e02506742066","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,960-344,160 per year","x-skills-required":["Python","Spark","Jupyter notebooks","standard ML libraries","data infrastructure tools","AI/ML models","machine learning","natural language processing","data analytics","data engineering"],"x-skills-preferred":["NLP","FinTech industry","data-intensive backend applications","large distributed systems"],"datePosted":"2026-04-17T12:50:59.773Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Spark, Jupyter notebooks, standard ML libraries, data infrastructure tools, AI/ML models, machine learning, natural language processing, data analytics, data engineering, NLP, FinTech industry, data-intensive backend applications, large distributed systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":228960,"maxValue":344160,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_71d40dee-64a"},"title":"Senior Compute Legal Counsel","description":"<p>About Mistral AI</p>\n<p>At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, AI Studio, Mistral Code and Mistral Compute , a suite that brings frontier intelligence to end-users.</p>\n<p>Role Summary</p>\n<p>As our Compute legal counsel, you will be instrumental in structuring, drafting, and negotiating our Mistral Compute deals. 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Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are a company that democratizes AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our offerings include le Chat, the AI assistant for life and work.</p>\n<p>About The Job</p>\n<p>Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. 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You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.</p>\n</li>\n<li><p>Always ask why. The best solutions come from deep understanding, not from copying what worked before</p>\n</li>\n<li><p>We say what we mean. Feedback is direct, timely, and given because we care.</p>\n</li>\n<li><p>No politics. Low ego, high standards.</p>\n</li>\n<li><p>We embrace an unstructured environment and find joy in it.</p>\n</li>\n</ul>\n<p>About You</p>\n<ul>\n<li><p>You are fluent in French and English.</p>\n</li>\n<li><p>You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.</p>\n</li>\n<li><p>You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions.</p>\n</li>\n<li><p>You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.</p>\n</li>\n<li><p>You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</p>\n</li>\n<li><p>You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face).</p>\n</li>\n</ul>\n<p>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.</p>\n<ul>\n<li><p>You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.</p>\n</li>\n<li><p>You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.</p>\n</li>\n<li><p>You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.</p>\n</li>\n</ul>\n<p>Ideally, you have:</p>\n<ul>\n<li><p>Contributed to open-source projects, particularly in the LLM or AI space.</p>\n</li>\n<li><p>Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.</p>\n</li>\n<li><p>A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.</p>\n</li>\n</ul>\n<p>Why Join Us?</p>\n<p>You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear 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_9b715683-620","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/042d7b29-279b-48e2-a44b-c7bdc3180dab","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","LangChain","Hugging Face","Machine Learning","Artificial Intelligence","Natural Language Processing","Fine-Tuning","RAG","Agentic Systems","Cloud Platforms","MLOps Tools"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:46:11.459Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, LangChain, Hugging Face, Machine Learning, Artificial Intelligence, Natural Language Processing, Fine-Tuning, RAG, Agentic Systems, Cloud Platforms, MLOps Tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_41bea01f-f31"},"title":"Product Manager - Accounting","description":"<p>We&#39;re hiring a Product Manager who deeply understands accounting to own the Accounting &amp; Finance Automation pillar within our Finance Operating System. 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You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with a research lead on direction, project planning and execution, hiring, and people development</li>\n<li>Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively</li>\n<li>Coach and support team members to have more impact and develop in their careers</li>\n<li>Drive the team&#39;s recruiting efforts, including hiring planning, process improvements, and sourcing and closing</li>\n<li>Help identify and support opportunities for collaboration with other teams across Anthropic</li>\n<li>Communicate team updates and results to other teams and leadership</li>\n<li>Maintain a deep understanding of the team&#39;s technical work and its implications for AI safety</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams</li>\n<li>Have a background in machine learning, AI, or a related technical field</li>\n<li>Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles</li>\n<li>Have strong project management skills, including prioritization and cross-functional coordination and collaboration</li>\n<li>Have managed technical teams through periods of ambiguity and change</li>\n<li>Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research</li>\n<li>Are a strong communicator</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_36da9363-4bd","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/4980436008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["machine learning","AI","research management","project management","coaching","mentoring","performance evaluation","career development","hiring","cross-functional coordination","collaboration"],"x-skills-preferred":["deep learning","neural networks","natural language processing","computer vision","data analysis","statistical modeling"],"datePosted":"2026-03-08T13:43:53.366Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, AI, research management, project management, coaching, mentoring, performance evaluation, career development, hiring, cross-functional coordination, collaboration, deep learning, neural networks, natural language processing, computer vision, data analysis, statistical modeling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e10fcfd-38f"},"title":"Talent Sourcer, Go To Market","description":"<p><strong>About the Team</strong></p>\n<p>OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. 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You will synthesise internal abuse patterns, upstream and external intelligence, and product and conversational signals into decision-ready risk insights, recurring briefs, and practical prioritisation inputs</p>\n<p>You will partner closely with investigators, engineers, and policy and trust and safety counterparts, as well as measurement and forecasting teammates, to translate messy signals into structured judgments (including assumptions and confidence), ranked priorities, and actionable recommendations. This is an opportunity to do high-leverage analysis in a fast-moving environment, where crisp thinking and communication directly shape safety decisions, mitigations, and product readiness.</p>\n<p><strong>In this role, you will</strong></p>\n<ul>\n<li>Monitor and analyse internal risk signals (abuse telemetry, investigations outputs, model and product signals) to identify trends, shifts in tactics, and new abuse patterns.</li>\n</ul>\n<ul>\n<li>Conduct upstream and external scanning (OSINT, ecosystem developments, real-world events) and distil implications for OpenAI’s products and threat landscape.</li>\n</ul>\n<ul>\n<li>Identify and deep dive into harms and misuse across products and channels, turning messy signals into clear analytic findings.</li>\n</ul>\n<ul>\n<li>Connect individual incidents into system-level narratives about actors, incentives, product design weaknesses, and cross-product spillover—pressure-testing hypotheses early.</li>\n</ul>\n<ul>\n<li>Produce concise, decision-ready risk briefs and intelligence estimates with explicit assumptions, confidence levels, and what would change the assessment.</li>\n</ul>\n<ul>\n<li>Convert analysis into clear, ranked priorities and actionable recommendations that product, safety, and policy teams can execute on.</li>\n</ul>\n<ul>\n<li>Define and track key risk indicators and outcome metrics to evaluate whether mitigations are working and drive course corrections when needed.</li>\n</ul>\n<ul>\n<li>Build early-warning and monitoring capabilities with data, engineering, and visualisation partners, including dashboards that highlight leading indicators and unusual changes.</li>\n</ul>\n<ul>\n<li>Contribute to product readiness and launch reviews; develop reusable playbooks, FAQs, and briefing materials that help teams respond consistently.</li>\n</ul>\n<ul>\n<li>Drive cross-functional alignment by tailoring readouts to investigations, engineering, policy, trust and safety, and product stakeholders—and ensuring decisions and follow-ups are crisp.</li>\n</ul>\n<p><strong>You might thrive in this role if you</strong></p>\n<ul>\n<li>Significant experience (typically <strong>5+ years</strong>) in trust and safety, integrity, security, policy analysis, or intelligence work.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to analyse complex online harms and AI-enabled misuse (e.g., harassment, coordinated abuse, scams, synthetic media, influence operations, brand safety issues) and convert analysis into concrete, prioritised recommendations.</li>\n</ul>\n<ul>\n<li>Strong analytical craft: you can identify weak signals, form hypotheses, test them quickly, state assumptions explicitly, and communicate confidence and uncertainty clearly.</li>\n</ul>\n<ul>\n<li>Comfort working across qualitative and quantitative inputs, including (1) casework,</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_93c50f21-80e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/d821a725-671f-4327-b918-9be90ef7be45","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$198K – $320K • Offers Equity","x-skills-required":["trust and safety","integrity","security","policy analysis","intelligence work","online harms","AI-enabled misuse","harassment","coordinated abuse","scams","synthetic media","influence operations","brand safety issues"],"x-skills-preferred":["data analysis","data visualisation","machine learning","natural language processing","software development"],"datePosted":"2026-03-06T18:42:41.351Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"trust and safety, integrity, security, policy analysis, intelligence work, online harms, AI-enabled misuse, harassment, coordinated abuse, scams, synthetic media, influence operations, brand safety issues, data analysis, data visualisation, machine learning, natural language processing, software development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d52d568d-49b"},"title":"Forward Deployed Engineer (FDE), Life Sciences","description":"<p><strong>Forward Deployed Engineer (FDE), Life Sciences - NYC</strong></p>\n<p><strong>Location</strong></p>\n<p>New York City</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Model Deployment for Business</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$198K – $335K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&amp;D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.</p>\n<p><strong>About the role</strong></p>\n<p>We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.</p>\n<p>You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.</p>\n<p>This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.</p>\n<p><strong>In this role you will</strong></p>\n<ul>\n<li>Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.</li>\n</ul>\n<ul>\n<li>Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.</li>\n</ul>\n<ul>\n<li>Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.</li>\n</ul>\n<ul>\n<li>Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.</li>\n</ul>\n<ul>\n<li>Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.</li>\n</ul>\n<ul>\n<li>Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.</li>\n</ul>\n<p><strong>You might thrive in this role if you</strong></p>\n<ul>\n<li>Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.</li>\n</ul>\n<ul>\n<li>Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.</li>\n</ul>\n<ul>\n<li>Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.</li>\n</ul>\n<ul>\n<li>Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.</li>\n</ul>\n<ul>\n<li>Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and process improvements.</li>\n</ul>\n<p><strong>What we offer</strong></p>\n<ul>\n<li>Competitive salary and equity package</li>\n</ul>\n<ul>\n<li>Opportunity to work with a talented team of engineers and researchers</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<ul>\n<li>Professional development and growth opportunities</li>\n</ul>\n<ul>\n<li>Flexible work arrangements</li>\n</ul>\n<ul>\n<li>Comprehensive benefits package</li>\n</ul>\n<ul>\n<li>Access to cutting-edge technology and resources</li>\n</ul>\n<p><strong>How to apply</strong></p>\n<p>If you are a motivated and talented individual who is passionate about AI and life sciences, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are a strong fit for this role.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d52d568d-49b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/55e611d8-b284-458e-908c-baccd091d0c0","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$198K – $335K","x-skills-required":["software/ML engineering","technical deployment","customer-facing ownership","biotech","pharma","clinical research","scientific software","PhD","MS","equivalent applied experience","life sciences relevant field","GenAI deployments","evaluation design","error analysis","iterative evidence generation","validation strategy","auditability","compliance constraints","reviewer expectations","system design and rollout","scientific operations","trial design","regulatory writing","scientific operations","validation artifacts","process improvements"],"x-skills-preferred":["AI","life sciences","software development","data analysis","machine learning","deep learning","natural language processing","computer vision","robotics","autonomous systems"],"datePosted":"2026-03-06T18:41:01.225Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software/ML engineering, technical deployment, customer-facing ownership, biotech, pharma, clinical research, scientific software, PhD, MS, equivalent applied experience, life sciences relevant field, GenAI deployments, evaluation design, error analysis, iterative evidence generation, validation strategy, auditability, compliance constraints, reviewer expectations, system design and rollout, scientific operations, trial design, regulatory writing, scientific operations, validation artifacts, process improvements, AI, life sciences, software development, data analysis, machine learning, deep learning, natural language processing, computer vision, robotics, autonomous systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":335000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b220ac50-0a0"},"title":"Technical Abuse Investigator","description":"<p><strong>Location</strong></p>\n<p>San Francisco; New York City; Remote - US</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Intelligence &amp; Investigations</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$198K – $220K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.</p>\n<p>The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. This role combines traditional investigative judgment with strong technical fluency: much of the work involves navigating complex datasets to surface actionable abuse signals, not just reviewing individual reports.</p>\n<p>In addition to conducting investigations directly, this role is explicitly designed to act as a force multiplier for the broader investigations team. You will be scaling or automating highly manual, important and nuanced processes. You will design and implement lightweight technical solutions—such as notebook templates, data pipelines or internal utilities—that enable specialized investigators to identify, track, and action abuse at a greater scale than a single investigator can currently achieve. Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.</p>\n<p>You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.</p>\n<p>This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. This role will work <strong>PST</strong> and is open to remote work within the United States, though we heavily prefer candidates based in San Francisco or New York.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets.</li>\n</ul>\n<ul>\n<li>Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.</li>\n</ul>\n<ul>\n<li>Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.</li>\n</ul>\n<ul>\n<li>Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.</li>\n</ul>\n<ul>\n<li>Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries</li>\n</ul>\n<ul>\n<li>Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership.</li>\n</ul>\n<ul>\n<li>Be someone people enjoy working with.</li>\n</ul>\n<ul>\n<li>Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a strong background in computer science, software engineering, or a related field.</li>\n<li>Have experience with data analysis, machine learning, or other technical skills relevant to the role.</li>\n<li>Are able to work effectively in a fast-paced, dynamic environment.</li>\n<li>Are able to communicate complex technical information to non-technical stakeholders.</li>\n<li>Are able to work independently and as part of a team.</li>\n<li>Are able to adapt to changing priorities and deadlines.</li>\n<li>Are able to maintain confidentiality and handle sensitive information.</li>\n<li>Are able to work in a remote environment.</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_b220ac50-0a0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/492ffc24-6b6e-4aa0-b31c-2a29a550b086","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$198K – $220K","x-skills-required":["computer science","software engineering","data analysis","machine learning","technical skills","investigative judgment","complex datasets","abuse signals","investigative methods","lightweight technical solutions","SQL","Python","data pipelines","investigation templates","dashboards","internal utilities","data systems","enforcement mechanisms","engineering","data teams","investigative tooling","data quality","workflows","written briefs","data-backed recommendations","escalation summaries","incident response","rapid threat triaging","investigation","mitigation","sound judgement","concise briefing","senior leadership","team dynamics","high-pressure environments"],"x-skills-preferred":["artificial intelligence","natural language processing","computer vision","deep learning","neural networks","data science","statistics","probability","mathematics","algorithm design","software development","testing","debugging","version control","agile development","scrum","kanban","project management","team leadership","communication","public speaking","writing","editing","proofreading"],"datePosted":"2026-03-06T18:40:49.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; New York City; Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"computer science, software engineering, data analysis, machine learning, technical skills, investigative judgment, complex datasets, abuse signals, investigative methods, lightweight technical solutions, SQL, Python, data pipelines, investigation templates, dashboards, internal utilities, data systems, enforcement mechanisms, engineering, data teams, investigative tooling, data quality, workflows, written briefs, data-backed recommendations, escalation summaries, incident response, rapid threat triaging, investigation, mitigation, sound judgement, concise briefing, senior leadership, team dynamics, high-pressure environments, artificial intelligence, natural language processing, computer vision, deep learning, neural networks, data science, statistics, probability, mathematics, algorithm design, software development, testing, debugging, version control, agile development, scrum, kanban, project management, team leadership, communication, public speaking, writing, editing, proofreading","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef769f27-84c"},"title":"Product Marketing Manager, Competitive Intelligence","description":"<p><strong>Product Marketing Manager, Competitive Intelligence</strong></p>\n<p><strong>Location</strong></p>\n<p>Remote - US</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Remote</p>\n<p><strong>Department</strong></p>\n<p>Marketing</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$227K – $415K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. We take a data-driven approach to understand our customers&#39; needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Research, Comms, and Design teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.</p>\n<p><strong>About the role</strong></p>\n<p>As the Competitive Intelligence Lead within the Technical Success Team, you&#39;ll play a pivotal role in proactively understanding, analyzing, and positioning OpenAI against a rapidly evolving competitive landscape. You&#39;ll equip our Go-To-Market (GTM) teams with strategic, actionable intelligence that helps articulate OpenAI’s differentiated strengths across productivity suites, developer ecosystems, and vertical-specific AI applications.</p>\n<p><strong>You’ll be responsible for:</strong></p>\n<ul>\n<li>Conduct technical assessments of competitive AI solutions across key domains.</li>\n</ul>\n<ul>\n<li>Develop and implement a structured competitive intelligence program featuring differentiated live demos, tailored messaging frameworks, and proactive market trend analysis.</li>\n</ul>\n<ul>\n<li>Partner with GTM leaders (Sales, Customer Success, Product Marketing) to integrate competitive insights directly into corporate messaging, sales pitches, and strategic customer engagements.</li>\n</ul>\n<ul>\n<li>Deliver real-time competitive updates leveraging advanced AI and analytical tools to ensure strategic agility.</li>\n</ul>\n<ul>\n<li>Serve as an internal and external thought leader, translating complex competitive dynamics into clear, actionable strategies that drive business impact. 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Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Model Deployment for Business</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$198K – $335K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the team</strong></p>\n<p>OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.</p>\n<p>You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.</p>\n<p>Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).</p>\n<p>This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.</p>\n<p>This role is based in New York City or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25%- 50% is required.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li><strong>Own the technical delivery plan</strong> for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.</li>\n</ul>\n<ul>\n<li><strong>Run day-to-day engineering execution.</strong> Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.</li>\n</ul>\n<ul>\n<li><strong>Embed with customer teams to land production deployments and drive adoption.</strong> Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.</li>\n</ul>\n<ul>\n<li><strong>Partner with Product and Research</strong> so platform components and research work streams land in time to support deployment goals.</li>\n</ul>\n<ul>\n<li><strong>Codify solution patterns and evals.</strong> Extract reusable patterns and package field signals to improve product and models.</li>\n</ul>\n<ul>\n<li><strong>Own value cases and ROI.</strong> Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.</li>\n</ul>\n<p><strong>You’ll thrive in this role if you:</strong></p>\n<ul>\n<li>Bring 7+ years of customer‑facing technical delivery leadership.</li>\n</ul>\n<ul>\n<li>Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.</li>\n</ul>\n<ul>\n<li>Excel in high ambiguity environments. Know how to simplify complex and dynamic work.</li>\n</ul>\n<ul>\n<li>Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.</li>\n</ul>\n<ul>\n<li>Think strategically and pattern-match. A</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_f53ae05e-19b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/c5a99c73-c4c4-4321-a519-e0104dc54747","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$198K – $335K","x-skills-required":["Technical project management","Customer-facing technical delivery leadership","High-stakes customer engagements","AI","System level understanding","Execution level detail","Customer workflows/data","Architectures","Pattern-match"],"x-skills-preferred":["Cloud computing","Containerization","DevOps","Agile methodologies","Scrum","Kanban","Continuous integration","Continuous deployment","Continuous testing","Infrastructure as code","Automation","Scripting","Programming languages","Data analysis","Data visualization","Machine learning","Artificial intelligence","Deep learning","Natural language processing","Computer vision"],"datePosted":"2026-03-06T18:36:24.255Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical project management, Customer-facing technical delivery leadership, High-stakes customer engagements, AI, System level understanding, Execution level detail, Customer workflows/data, Architectures, Pattern-match, Cloud computing, Containerization, DevOps, Agile methodologies, Scrum, Kanban, Continuous integration, Continuous deployment, Continuous testing, Infrastructure as code, Automation, Scripting, Programming languages, Data analysis, Data visualization, Machine learning, Artificial intelligence, Deep learning, Natural language processing, Computer vision","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":335000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c0ccd7e3-4cb"},"title":"Data Scientist, Preparedness","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Data Scientist, Preparedness</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$347K – $400K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework.</p>\n<p>Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.</p>\n<p>The mission of the Preparedness team is to:</p>\n<ol>\n<li>Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society</li>\n</ol>\n<ol>\n<li>Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems</li>\n</ol>\n<p>Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re hiring a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role is for an experienced, highly autonomous individual contributor who can take ambiguous problem statements, structure rigorous analyses, and translate findings into actionable product and policy changes.</p>\n<p>This position goes beyond “running evals.” You’ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm).</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas).</li>\n</ul>\n<ul>\n<li>Diagnose false positives and false negatives with deep error analysis, root cause investigation, and clear recommendations for mitigation adjustments.</li>\n</ul>\n<ul>\n<li>Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.</li>\n</ul>\n<ul>\n<li>Identify trends in over-blocking vs. under-blocking, quantify customer impact, and propose prioritized interventions.</li>\n</ul>\n<ul>\n<li>Develop insights from customer feedback, complaints, and usage patterns to detect shifts in adversarial behavior and system failure modes.</li>\n</ul>\n<ul>\n<li>Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or sabotage scenarios, in partnership with domain experts.</li>\n</ul>\n<ul>\n<li>Communicate results to technical and executive stakeholders with crisp narratives, decision-ready metrics, and clear tradeoffs.</li>\n</ul>\n<p><strong>You might thrive in this role if you are:</strong></p>\n<ul>\n<li>An autonomous operator: you can take a problem statement and independently structure the analysis end-to-end.</li>\n</ul>\n<ul>\n<li>Strong at executive-ready communication: concise, clear, and outcome-oriented.</li>\n</ul>\n<ul>\n<li>Skilled in turning analysis into productable changes: you’re comfortable influencing across functions to drive mitigation improvements.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Significant experience in data science or applied analytics in high-stakes domains (e.g., security, trust &amp; safety, abuse prevention, fraud, platform integrity, or reliability).</li>\n</ul>\n<ul>\n<li>Strong foundations in experimentation, causal thinking, and/or observational inference; ability to design robust measurement under imperfect data.</li>\n</ul>\n<ul>\n<li>Fluency in SQL and Python (or equivalent) for analysis, modeling, and building monitoring workflows.</li>\n</ul>\n<ul>\n<li>Experience building metrics, dashboards, and operational monitoring that meaningfully changes outcomes (not just reporting).</li>\n</ul>\n<ul>\n<li>Track record of driving cross-functional impact with engineering, product, and research partners</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_c0ccd7e3-4cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/efcc3430-14c8-4022-8350-8146ffb867ab","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$347K – $400K • Offers Equity","x-skills-required":["data science","applied analytics","security","trust & safety","abuse prevention","fraud","platform integrity","reliability","SQL","Python","experimentation","causal thinking","observational inference","measurement","metrics","dashboards","operational monitoring"],"x-skills-preferred":["machine learning","deep learning","natural language processing","computer vision","data engineering","data architecture"],"datePosted":"2026-03-06T18:35:03.164Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, applied analytics, security, trust & safety, abuse prevention, fraud, platform integrity, reliability, SQL, Python, experimentation, causal thinking, observational inference, measurement, metrics, dashboards, operational monitoring, machine learning, deep learning, natural language processing, computer vision, data engineering, data architecture","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":347000,"maxValue":400000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8e62d2e4-7e8"},"title":"Product Engineer, Marketing Innovation","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Product Engineer, Marketing Innovation</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the team</strong></p>\n<p>Marketing Innovation is a product engineering team embedded within OpenAI’s broader Demand Gen and Marketing organization. The team builds agentic, AI-native systems that directly drive revenue, pipeline, and marketing leverage.</p>\n<p>Our mandate is to own and scale autonomous, customer-facing and internal systems that operate at massive scale. This includes building autonomous, customer-facing systems that engage with prospects, generate pipeline and revenue, and shape the future of how marketing and revenue teams operate in an AI-native world.</p>\n<p>We focus on problems that exceed the limits of low-code tools and long-tail workflow automation. When a problem requires a native product experience, deep system integration, and high standards for precision, safety, and reliability, Marketing Innovation steps in.</p>\n<p><strong>About the role</strong></p>\n<p>We’re looking for product-minded software engineers to join the Marketing Innovation team.</p>\n<p>As a Product Engineer on this team, you will build and own autonomous, customer-facing agentic systems that interface directly with enterprise customers, prospects, and revenue-critical workflows. You will partner closely with functional leaders across scaled revenue, demand gen, and marketing to understand desired outcomes, then translate those needs into production-grade systems.</p>\n<p>You will move quickly from ambiguous problem statements to working software in production. Your work will be measured not by output, but by impact: revenue, enterprise pipeline, and Marketing efficiency.</p>\n<p>This role is ideal for engineers who want ownership over real systems, enjoy building 0-&gt;1 products, and are excited to define new categories of AI-native products and workflows.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build autonomous and semi-autonomous customer-facing and internal agentic systems that directly drive Revenue, Pipeline, and Marketing efficiency.</li>\n</ul>\n<ul>\n<li>Own end-to-end product execution, from early prototypes to reliable production systems with strong instrumentation and evals.</li>\n</ul>\n<ul>\n<li>Work across the full stack, including APIs, orchestration, data flows, frontend experiences, and deployment.</li>\n</ul>\n<ul>\n<li>Partner closely with marketing, demand gen, and enterprise sales stakeholders to define success metrics and functional requirements.</li>\n</ul>\n<ul>\n<li>Apply OpenAI models and tooling in novel ways, making informed tradeoffs between models, platforms, and architectures.</li>\n</ul>\n<ul>\n<li>Continuously iterate based on live usage, agent behavior, and performance data.</li>\n</ul>\n<p><strong>You’ll thrive in this role if you</strong></p>\n<ul>\n<li>Have 4+ years of experience as a software, product, or ML engineer working on user- or customer-facing systems.</li>\n</ul>\n<ul>\n<li>Have built, deployed, or operated complex systems in production, ideally including agents or automation at scale.</li>\n</ul>\n<ul>\n<li>Are comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end-to-end.</li>\n</ul>\n<ul>\n<li>Are fluent in Python or JavaScript and comfortable building full-stack applications.</li>\n</ul>\n<ul>\n<li>Have hands-on experience with APIs, cloud infrastructure, orchestration, and production monitoring.</li>\n</ul>\n<ul>\n<li>Are curious about modern AI models and excited to experiment with how evolving capabilities change system design.</li>\n</ul>\n<ul>\n<li>Have familiarity with sales, marketing, or go-to-market workflows, or are eager to learn how revenue systems operate.</li>\n</ul>\n<ul>\n<li>Operate with a strong sense of ownership, move quickly, and care deeply about measurable business outcomes.</li>\n</ul>\n<ul>\n<li>Are collaborative, pragmatic, and motivated to build at the frontier of applied AI.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must be guided by a deep understanding of the potential risks and benefits of AI.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8e62d2e4-7e8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/eaf9207e-84c9-4fa2-bd57-6877b7eb7f79","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["Python","JavaScript","APIs","Cloud infrastructure","Orchestration","Production monitoring","Full-stack applications","AI models","System design","Sales","Marketing","Go-to-market workflows"],"x-skills-preferred":["Machine learning","Deep learning","Natural language processing","Computer vision","Robotics","Autonomous systems"],"datePosted":"2026-03-06T18:33:49.841Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, JavaScript, APIs, Cloud infrastructure, Orchestration, Production monitoring, Full-stack applications, AI models, System design, Sales, Marketing, Go-to-market workflows, Machine learning, Deep learning, Natural language processing, Computer vision, Robotics, Autonomous systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b164900-4da"},"title":"Content Integrity Analyst","description":"<p><strong>Content Integrity Analyst</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Trust &amp; Safety Operations</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$252K – $280K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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We support a diverse customer base -- from individual users and early-stage startups to global enterprises -- across ChatGPT, our API, and new product surfaces as they launch.</p>\n<p>Within the Support organization, we partner closely with Product, Engineering, Legal, Policy, Go To Market, and Operations teams to deliver a great user experience at scale while reducing material harm and mitigating catastrophic risks.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re hiring experienced Trust &amp; Safety / Content Integrity operators who can investigate complex cases, apply and evolve usage policy in real-world scenarios, and help build scalable systems that reduce risk over time. You will contribute as a subject-matter expert (SME) on high-stakes escalations, partnering with cross-functional stakeholders to drive fast, defensible outcomes. You will also help design the processes, tooling, and automation that power safe operations at scale.</p>\n<p>This role is ideal for someone who combines strong judgment with sharp analytical instincts, and who enjoys turning ambiguity into clear decisions, repeatable workflows, and durable automation.</p>\n<p><strong>Please note</strong></p>\n<p>This role may involve handling sensitive content, including material that may be highly confidential, sexual, violent, or otherwise disturbing.</p>\n<p><strong>Location</strong></p>\n<p>San Francisco, CA (hybrid: 3 days in office/week)</p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li><strong>Apply usage policy with rigor and nuance:</strong> Interpret and apply OpenAI’s usage policies to complex, novel scenarios; provide clear guidance to customers and internal teams; document edge cases and propose policy refinements.</li>\n</ul>\n<ul>\n<li><strong>Mitigate material harm and catastrophic risks:</strong> Triage, assess, and support actions on content and behavior that can drive real-world harm, including high-severity domains; 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We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong><strong>In this role, you will</strong></strong></p>\n<ul>\n<li>Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth</li>\n</ul>\n<ul>\n<li>Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models</li>\n</ul>\n<ul>\n<li>Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products)</li>\n</ul>\n<ul>\n<li>Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams</li>\n</ul>\n<ul>\n<li>Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality)</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you have</strong></strong></p>\n<ul>\n<li>5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus)</li>\n</ul>\n<ul>\n<li>Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments</li>\n</ul>\n<ul>\n<li>Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety)</li>\n</ul>\n<ul>\n<li>Strong cross-functional communication with PMs, engineers, and executives</li>\n</ul>\n<ul>\n<li>Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact</li>\n</ul>\n<p><strong><strong>You could be an especially great fit if you have</strong></strong></p>\n<ul>\n<li>Background in developer platforms, observability, or usage-based pricing/quotas</li>\n</ul>\n<ul>\n<li>Experience connecting offline evals to online product impact</li>\n</ul>\n<ul>\n<li>Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products</li>\n</ul>\n<p><strong>About OpenAI</strong> OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI&#39;s customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.</p>\n<p><strong>About the Role</strong> We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.</p>\n<p>If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team</p>\n<p>This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 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They will apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency.</li>\n<li>Apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Solid background in platform, AI/ML, including experience with search platform, grounding platform, ranking systems, natural language processing, with more than 4 years of working experience.</li>\n<li>Proficiency in programming languages such as C++, C#, Java, or Python, and familiarity with distributed systems.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Passion for news and AI-driven innovation, with an understanding of user needs in news consumption.</li>\n<li>Ability to work in a fast-paced environment and collaborate across disciplines.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<p 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_900d842a-059","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","C#","Java","Python","Distributed systems","Search platform","Grounding platform","Ranking systems","Natural language processing"],"x-skills-preferred":["Machine learning","AI","Data analytics","Cloud computing"],"datePosted":"2026-03-06T07:33:38.154Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, C#, Java, Python, Distributed systems, Search platform, Grounding platform, Ranking systems, Natural language processing, Machine learning, AI, Data analytics, Cloud computing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a79fa56e-f03"},"title":"Model Design Staff - Language Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Model Design Staff - Language Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the field of artificial intelligence. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of AI solutions.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Model Design Staff - Language Engineer, you will be responsible for designing and developing language models that can be used in a variety of applications, including chatbots, virtual assistants, and language translation systems. You will work closely with cross-functional teams to understand business requirements and develop models that meet those needs. You will also be responsible for testing and deploying models, as well as monitoring their performance and making recommendations for improvement.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and develop language models that meet business requirements</li>\n<li>Work closely with cross-functional teams to understand business needs and develop models that meet those needs</li>\n<li>Test and deploy models, and monitor their performance</li>\n<li>Make recommendations for model improvement</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>3+ years of experience in natural language processing or a related field</li>\n<li>Experience with deep learning and neural networks</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Python programming language</li>\n<li>Experience with TensorFlow or PyTorch</li>\n<li>Knowledge of natural language processing and machine learning algorithms</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong problem-solving skills</li>\n<li>Excellent communication and collaboration skills</li>\n<li>Ability to work in a fast-paced environment</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Access to cutting-edge technology and tools</li>\n<li>Flexible work arrangements</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_a79fa56e-f03","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/model-design-staff-language-engineer/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$100,600 - $199,000 per year","x-skills-required":["natural language processing","deep learning","neural networks","Python programming language","TensorFlow","PyTorch"],"x-skills-preferred":["machine learning","data science","software development"],"datePosted":"2026-03-06T07:32:19.030Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"natural language processing, deep learning, neural networks, Python programming language, TensorFlow, PyTorch, machine learning, data science, software development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100600,"maxValue":199000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e1bb3f1c-947"},"title":"Applied Scientist 2","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Applied Scientist 2 at their Beijing office. This role sits at the heart of Bing&#39;s search engine, designing systems that can search through hundreds of billions of documents in just milliseconds. You&#39;ll work alongside some of the brightest minds in the industry on projects that will make a lasting impact.</p>\n<p><strong>About the Role</strong></p>\n<p>As an Applied Scientist 2, you will design and implement highly scalable, low-latency, always-on services that power Bing search. You will quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. You will influence architecture and design decisions across teams, driving best practices and common patterns. You will collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and implement highly scalable, low-latency, always-on services that power Bing search.</li>\n<li>Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>1+ years of programming experience in Python, C++, C#, or similar languages.</li>\n<li>Familiarity with data mining, machine learning, classification, clustering, or related areas.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Ability to think creatively and deliver innovative solutions to complex problems.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<p 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_e1bb3f1c-947","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/applied-scientist-2-2/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Python","C++","C#","data mining","machine learning","classification","clustering"],"x-skills-preferred":["Deep Learning","Natural Language Processing (NLP)"],"datePosted":"2026-03-06T07:32:02.298Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, C#, data mining, machine learning, classification, clustering, Deep Learning, Natural Language Processing (NLP)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_30fd78a0-975"},"title":"Senior Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technologies. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Applied Scientist, you will design and implement highly scalable, low-latency, always-on services that power Bing search. You will quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. You will influence architecture and design decisions across teams, driving best practices and common patterns. You will collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and implement highly scalable, low-latency, always-on services that power Bing search.</li>\n<li>Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>4+ years of programming experience in Python, C++, C#, or similar languages.</li>\n<li>Familiarity with data mining, machine learning, classification, clustering, or related areas.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Ability to think creatively and deliver innovative solutions to complex problems.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<p 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_30fd78a0-975","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-22/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Python","C++","C#","data mining","machine learning","classification","clustering"],"x-skills-preferred":["Deep Learning","Natural Language Processing (NLP)"],"datePosted":"2026-03-06T07:31:28.082Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, C#, data mining, machine learning, classification, clustering, Deep Learning, Natural Language Processing (NLP)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ab57edf-94a"},"title":"Senior Applied Scientist - Bing Search","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of Bing&#39;s search engine, managing tens of thousands of machines and delivering backend search services for document selection and ranking at massive scale.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Applied Scientist on the Bing Search Fundamental Team, you will be responsible for designing systems that can search through hundreds of billions of documents in just milliseconds. You will work alongside some of the brightest minds in the industry on projects that will make a lasting impact. Your expertise in Deep Learning, especially Natural Language Processing (NLP), will be crucial in driving best practices and common patterns across teams.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Expertise in Deep Learning, especially NLP, that power Bing search.</li>\n<li>Influence architecture and design decisions across teams, driving best practices and common patterns.</li>\n<li>Collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree in Statistics, Computer Science, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master&#39;s Degree in Statistics, Computer Science, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Computer Science, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Expertise in deep learning, machine learning, NLP, or related areas.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Ability to think creatively and deliver innovative solutions to complex problems.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.</li>\n<li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</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_2ab57edf-94a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-bing-search-2/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Deep Learning","Natural Language Processing","Machine Learning","Statistics","Predictive Analytics"],"x-skills-preferred":["Search technologies","Information retrieval"],"datePosted":"2026-03-06T07:30:38.683Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep Learning, Natural Language Processing, Machine Learning, Statistics, Predictive Analytics, Search technologies, Information retrieval"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dcf5b288-f71"},"title":"Principal Product Manager, Foundational AI Research","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Product Manager, Foundational AI Research at their Zürich office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the field of AI research. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of foundational AI models.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Product Manager, Foundational AI Research, you will be advancing the next generation of LLM models working on either (1) pre-training and post-training data and evaluations, (2) training infrastructure, or (3) API and Platform. You will be responsible for working backward from customer needs to prioritize new research, build evals and datasets, and work closely with AI researchers to build and execute project plans.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution.</li>\n<li>Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.</li>\n<li>Create model prototypes to prove out new feature directions and scope projects.</li>\n<li>Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree AND proven experience in product/service/program management or software development OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.</li>\n<li>Experience building and shipping data pipelines or evaluation systems personally.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment.</li>\n<li>Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Microsoft’s mission is to empower every person and every organization on the planet to achieve more.</li>\n<li>As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.</li>\n<li>Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</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_dcf5b288-f71","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-product-manager-foundational-ai-research-6/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","software development","data engineering","machine learning","artificial intelligence"],"x-skills-preferred":["data science","statistics","mathematics","computer vision","natural language processing"],"datePosted":"2026-03-06T07:30:19.116Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zürich, Switzerland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, software development, data engineering, machine learning, artificial intelligence, data science, statistics, mathematics, computer vision, natural language processing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9d194d98-aa3"},"title":"Member of Technical Staff, Pre-Training Infrastructure","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Pre-Training Infrastructure. The successful candidate will be responsible for designing, implementing, testing, and optimizing distributed training infrastructure in Python and C++ for large-scale GPU clusters. They will also profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.</li>\n<li>Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Experience in distributed computing and large-scale systems.</li>\n<li>Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Proven ability to profile, benchmark, and optimize performance-critical systems.</li>\n<li>Experience in leading technical projects and supporting architectural decisions with data.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunity to work on cutting-edge AI projects.</li>\n<li>Collaborative and dynamic work environment.</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_9d194d98-aa3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-pre-training-infrastructure-mai-superintelligence-team-3/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["distributed computing","GPU programming","PyTorch","C++","Python"],"x-skills-preferred":["machine learning","natural language processing","computer vision"],"datePosted":"2026-03-06T07:29:28.007Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed computing, GPU programming, PyTorch, C++, Python, machine learning, natural language processing, computer vision"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ff5ec894-29f"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Principal Applied Scientist to lead the next generation of click-through-rate (CTR) for Microsoft Advertising. This is a high-impact role responsible for advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.</li>\n<li>Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li>\n<li>2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li>\n<li>5+ years experience conducting research as part of a research program (in academic or industry settings).</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>3+ years experience developing and deploying live production systems, as part of a product team.</li>\n<li>3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary.</li>\n<li>Comprehensive benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_ff5ec894-29f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-11/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 - $274,800 per year","x-skills-required":["Machine Learning","Statistics","Econometrics","Computer Science","Electrical or Computer Engineering"],"x-skills-preferred":["Deep Learning","Natural Language Processing","Computer Vision"],"datePosted":"2026-03-06T07:27:54.895Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Deep Learning, Natural Language Processing, Computer Vision","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9669c850-4a4"},"title":"Model Design Staff - Language Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Model Design Staff - Language Engineer at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Model Design Staff - Language Engineer, you will be responsible for designing and developing language models that can understand and generate human-like language. This will involve working with large datasets, developing and testing models, and collaborating with cross-functional teams to integrate models into our products. You will also be responsible for staying up-to-date with the latest advancements in natural language processing and machine learning.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and develop language models that can understand and generate human-like language</li>\n<li>Work with large datasets to train and test models</li>\n<li>Collaborate with cross-functional teams to integrate models into our products</li>\n<li>Stay up-to-date with the latest advancements in natural language processing and machine learning</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>3+ years of experience in natural language processing and machine learning</li>\n<li>Experience with deep learning frameworks such as TensorFlow or PyTorch</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Strong programming skills in Python</li>\n<li>Experience with natural language processing libraries such as NLTK or spaCy</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong problem-solving skills</li>\n<li>Excellent communication and collaboration skills</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p 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_9669c850-4a4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/model-design-staff-language-engineer-2/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $100,600 - $199,000 per year","x-skills-required":["natural language processing","machine learning","deep learning","Python","TensorFlow","PyTorch"],"x-skills-preferred":["NLTK","spaCy","data science"],"datePosted":"2026-03-06T07:27:04.649Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"natural language processing, machine learning, deep learning, Python, TensorFlow, PyTorch, NLTK, spaCy, data science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100600,"maxValue":199000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_759571da-f04"},"title":"Senior Software Engineer - Microsoft AI, Copilot","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Senior Software Engineer to join their Microsoft AI, Copilot team in Mountain View. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Software Engineer on the Microsoft AI, Copilot team, you will be responsible for designing and developing distributed systems and APIs that power adaptive, context-aware experiences across Microsoft AI. You will work across Microsoft AI and Copilot teams to build real-time and batch personalization engines that adapt Copilot&#39;s behavior. You will also collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals.</li>\n<li>Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data.</li>\n<li>Design data models and APIs that enable Copilot to reason about user context, preferences, and history.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years technical engineering experience building systems with coding in languages including, but not limited to, Python, C#, C++, Golang, Rust, Java.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Experience with large scale data systems.</li>\n<li>Experience working with AI platforms, frameworks, and APIs.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range of $119,800 - $234,700 per year.</li>\n<li>Comprehensive benefits package, including health insurance, retirement plan, and paid time off.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n<li>Access to cutting-edge technology and tools.</li>\n<li>Flexible work arrangements, including remote work options.</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_759571da-f04","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-microsoft-ai-copilot-3/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$119,800 - $234,700 per year","x-skills-required":["Python","C#","C++","Golang","Rust","Java","large scale data systems","AI platforms","frameworks","APIs"],"x-skills-preferred":["machine learning","natural language processing","computer vision"],"datePosted":"2026-03-06T07:26:39.920Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C#, C++, Golang, Rust, Java, large scale data systems, AI platforms, frameworks, APIs, machine learning, natural language processing, computer vision","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a16b3422-8de"},"title":"Member of Technical Staff - Pretraining Text Data","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Member of Technical Staff - Pretraining Text Data at their London office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>In this role, you&#39;ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:</p>\n<ul>\n<li>Develop novel data collection strategies</li>\n<li>Improve dataset quality and integrity</li>\n<li>Understand data-driven model behaviors</li>\n<li>Train models to understand the impact of data and data mixes</li>\n<li>Align datasets with ethical and societal values</li>\n</ul>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.</li>\n<li>Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.</li>\n<li>Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.</li>\n<li>Build lightweight tools and workflows for dataset auditing, visualization, and versioning.</li>\n<li>Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proficiency in statistics and exploratory data analysis methods.</li>\n<li>Experience with large-scale datasets that are unstructured or semi-structured.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong analytical and problem-solving skills.</li>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n<li>Access to cutting-edge technology and tools.</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_a16b3422-8de","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-member-of-technical-staff-pretraining-text-data-3/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Python","Pandas","NumPy","statistics","data analysis","data engineering"],"x-skills-preferred":["machine learning","natural language processing","data visualization"],"datePosted":"2026-03-06T07:25:31.919Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pandas, NumPy, statistics, data analysis, data engineering, machine learning, natural language processing, data visualization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b75c2ed4-d29"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, transforming complex data into actionable insights for a company that&#39;s revolutionising the field of artificial intelligence. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of large-scale, Azure-based intelligence platforms.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you will define scientific vision and lead the development of both ML and LLM components. This includes designing robust models, driving experimentation, ensuring statistical rigor, and guiding the platform&#39;s evolution toward greater automation, accuracy, and scalability. You will partner closely with engineering and product teams to translate research into reliable production systems, influence long-term strategy, and deliver intelligence that enables smarter, faster, and more informed decisions.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Define and drive the modeling strategy for the advertising recommendations platform, spanning classical machine learning (for analytics on structured data) and the use of generative AI.</li>\n<li>Architect end-to-end machine learning pipelines – oversee the design of data processing workflows, feature stores, model training/validation routines, and deployment mechanisms that can reliably produce daily insights for all customers.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>6+ years related experience (e.g., statistics, predictive analytics, research) in a field such as statistics, econometrics, computer science, electrical or computer engineering, or a related field.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Extensive hands-on expertise in ML techniques for predictive analytics, pattern recognition, and optimization.</li>\n<li>5+ years of experience with developing and deploying machine learning solutions in production, with proven ownership of complex projects end-to-end (from problem formulation and data acquisition to model deployment and monitoring).</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong leadership and technical skills, with the ability to mentor and develop the applied science team.</li>\n<li>Excellent communication and collaboration skills, with the ability to work effectively with cross-discipline teams.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<p 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_b75c2ed4-d29","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-4/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["machine learning","artificial intelligence","data science","statistics","econometrics"],"x-skills-preferred":["natural language processing","computer vision","deep learning"],"datePosted":"2026-03-06T07:23:46.768Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, artificial intelligence, data science, statistics, econometrics, natural language processing, computer vision, deep learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1611ef18-c39"},"title":"Senior Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technologies. You&#39;ll work directly with leadership to shape the company&#39;s direction in the search and AI innovation markets.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a Senior Applied Scientist to design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency. You will apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario. You will act as a designated responsible individual (DRI), work with partners and v-team members to understand requirements, define roadmap, lead execution, unblock issues, deliver mission on time. You will proactively learn and leverage engineer excellence practice from partner teams, build collaboration with partners. 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