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Our ranking and personalization systems determine which of them our 70+ million annual users see, directly impacting search conversion and business results.</p>\n<p>What&#39;s live today:</p>\n<ul>\n<li>Multi-stage ranking pipeline: Reinforcement-learning-based cold ranking, contextual re-ranking, and personalized recommendations.</li>\n</ul>\n<ul>\n<li>Cold-start models for new properties with limited behavioral data.</li>\n</ul>\n<ul>\n<li>Personalized recommendations based on user browsing patterns.</li>\n</ul>\n<p>Some of the hard problems we&#39;re solving:</p>\n<ul>\n<li>Multi-objective optimization: Balancing user relevance, conversion probability, and business value.</li>\n</ul>\n<ul>\n<li>Personalization without history: Most users are anonymous or first-time visitors.</li>\n</ul>\n<ul>\n<li>Cold-start: A significant share of our inventory is new each quarter. How do we surface quality properties before we have behavioral data?</li>\n</ul>\n<p><strong>Your role in this journey</strong></p>\n<p>You&#39;ll shape the ranking and recommendation systems that millions of guests rely on to find their holiday home. With access to extensive datasets and modern ML infrastructure, you&#39;ll work end-to-end - from identifying opportunities and prototyping new approaches to shipping models to production and measuring their impact.</p>\n<ul>\n<li>Develop high-impact models and improvements for our ranking, recommendation, and personalization systems - with the freedom to explore new, creative approaches.</li>\n</ul>\n<ul>\n<li>Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.</li>\n</ul>\n<ul>\n<li>Design and run A/B tests as a core part of ranking development; success is measured by successful experiments per quarter and time-to-decision.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Product Managers and Software Engineers to identify, prioritize, and ship ranking improvements.</li>\n</ul>\n<ul>\n<li>Ensure model reliability in production, measured by online/offline agreement, model and data drift KPIs, latency and uptime SLAs, and automated monitoring coverage.</li>\n</ul>\n<ul>\n<li>Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.</li>\n</ul>\n<ul>\n<li>Demonstrate leadership in data science projects by driving technical direction, scoping initiatives, and guiding the team&#39;s prioritization and project execution.</li>\n</ul>\n<p><strong>Your backpack is filled with</strong></p>\n<ul>\n<li>5+ years of experience as a Data Scientist, with a proven track record of applying ML models to solve real business problems.</li>\n</ul>\n<ul>\n<li>Experience working on ranking models or recommender systems is a strong advantage.</li>\n</ul>\n<ul>\n<li>A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.</li>\n</ul>\n<ul>\n<li>Strong foundations in statistics, predictive modeling, and machine learning techniques, with hands-on experience using Python and SQL.</li>\n</ul>\n<ul>\n<li>Experience with Airflow and dbt is a plus.</li>\n</ul>\n<ul>\n<li>Solid understanding of business operations and the ability to translate data insights into clear, actionable outcomes.</li>\n</ul>\n<ul>\n<li>A collaborative mindset and enthusiasm for using data to build world-class products that make a real impact.</li>\n</ul>\n<ul>\n<li>AI Proficiency: You are comfortable using AI to enhance coding, planning, and monitoring. This includes successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.</li>\n</ul>\n<p><strong>Our adventure includes</strong></p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.</li>\n</ul>\n<ul>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.</li>\n</ul>\n<ul>\n<li>Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.</li>\n</ul>\n<ul>\n<li>Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.</li>\n</ul>\n<ul>\n<li>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.</li>\n</ul>\n<ul>\n<li>Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.</li>\n</ul>\n<p>Need a sneak peek? Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!</p>\n<p><strong>Want to travel with us?</strong></p>\n<p>Apply online on our careers page! Your first travel contact will be Lucia from HR.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_80d15de9-aa7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2413808","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","Airflow","dbt","AWS","MLflow","Machine Learning","Statistics","Predictive Modeling","SQL"],"x-skills-preferred":["AI","Data Science","Ranking Models","Recommender Systems","Collaboration","Communication"],"datePosted":"2026-04-18T22:09:15.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Airflow, dbt, AWS, MLflow, Machine Learning, Statistics, Predictive Modeling, SQL, AI, Data Science, Ranking Models, Recommender Systems, Collaboration, Communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6365e7d7-511"},"title":"Senior Forward Deployed Data Scientist/Engineer","description":"<p>We&#39;re hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.</p>\n<p>This is not a traditional analytics role. 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You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_184d1c95-aae"},"title":"AI Research Intern","description":"<p>The Basics</p>\n<p>Taniam is seeking an AI Research Scientist Intern for Summer 2026. This role reports to our Staff Data Scientist leading AI design, prototyping, and experimentation across Tanium products and solutions.</p>\n<p>As an AI Research Scientist Intern, you will have the opportunity to work on challenging real-world problems, gain hands-on experience, and contribute to building intelligent systems that will shape the future of autonomous IT across endpoint management, exposure management, and security operations.</p>\n<p>This is a hybrid position, which will require in person attendance several days each week in Durham, NC OR Emeryville, CA.</p>\n<p>The hourly rate for this internship is $55 to $60 per hour. This hourly rate is an estimate for what Tanium will pay an intern. The actual rate offered may be adjusted based on a variety of factors, including but not limited to, education, skills, training, and experience.</p>\n<p>In addition to an hourly rate, interns will be eligible for a housing stipend, 401k matching, and a monthly allowance for communications reimbursement.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Collaborate with data science and engineering teams to design and implement AI and machine learning (ML) algorithms that improve Tanium’s autonomous IT capabilities.</li>\n</ul>\n<ul>\n<li>Develop and evaluate ML models across a wide variety of use cases, including anomaly detection, threat identification, and performance optimization.</li>\n</ul>\n<ul>\n<li>Analyze large-scale endpoint data to extract meaningful insights and develop predictive models.</li>\n</ul>\n<ul>\n<li>Assist in building data pipelines to efficiently process and analyze endpoint data at scale.</li>\n</ul>\n<ul>\n<li>Conduct exploratory data analyses and visualizations to communicate findings and inform product development decisions.</li>\n</ul>\n<ul>\n<li>Document research, methodologies, and results to contribute to Tanium’s knowledge base.</li>\n</ul>\n<ul>\n<li>Stay up to date with the latest advancements in AI, ML, and endpoint management technologies.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Strong foundation in machine learning, data analysis, and statistics.</li>\n</ul>\n<ul>\n<li>Proficiency in Python.</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn, TensorFlow, numpy, scipy, pandas).</li>\n</ul>\n<ul>\n<li>Experience working with large datasets.</li>\n</ul>\n<ul>\n<li>Knowledge in one or more of the following areas:</li>\n</ul>\n<ul>\n<li>Statistics</li>\n</ul>\n<ul>\n<li>Anomaly detection</li>\n</ul>\n<ul>\n<li>Machine learning (classification/regression)</li>\n</ul>\n<ul>\n<li>Internals of large language models (LLMs)</li>\n</ul>\n<ul>\n<li>Agentic AI</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and the ability to work independently and collaboratively.</li>\n</ul>\n<ul>\n<li>Excellent communication skills and the ability to present complex ideas clearly.</li>\n</ul>\n<ul>\n<li>Passion for technology, cybersecurity, and autonomous systems.</li>\n</ul>\n<p>Other qualifications:</p>\n<ul>\n<li>Authorized to work in the U.S. now and in the future</li>\n</ul>\n<ul>\n<li>Available to work full-time from June 8, 2024 to August 14, 2025</li>\n</ul>\n<ul>\n<li>A currently enrolled Master’s/ PhD degree candidate ideally studying Statistics, Machine Learning, or a related field with a 3.5+ GPA</li>\n</ul>\n<ul>\n<li>Graduating Spring 2027 or Fall 2026</li>\n</ul>\n<ul>\n<li>In accordance with Department of Defense requirements, applicants for this role must be a U.S. citizen, national, or resident pursuant to 8 U.S.C. 1101(a)(20) and 8 U.S.C. 1324b(a)(3)</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_184d1c95-aae","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Tanium","sameAs":"https://www.tanium.com","logo":"https://logos.yubhub.co/tanium.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/tanium/jobs/7288542","x-work-arrangement":"hybrid","x-experience-level":"internship","x-job-type":"internship","x-salary-range":"$55 to $60 per hour","x-skills-required":["machine learning","data analysis","statistics","Python","PyTorch","scikit-learn","TensorFlow","numpy","scipy","pandas"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:58.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Durham, NC (Hybrid)"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, data analysis, statistics, Python, PyTorch, scikit-learn, TensorFlow, numpy, scipy, pandas"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7e28478b-c37"},"title":"Research, Audio Expertise","description":"<p>We&#39;re seeking a researcher to advance the frontier of audio capabilities. 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You&#39;ll work closely across pre-training, post-training, and product with world-class researchers, infrastructure engineers, and designers.</p>\n<p>As a researcher in this role, you&#39;ll be expected to:</p>\n<ul>\n<li>Own research projects on audio training, low-latency inference, and conversational responsiveness.</li>\n<li>Design and train large-scale models that natively support audio input and output.</li>\n<li>Investigate scaling behaviour such as how data, model size, and compute affect capability and efficiency.</li>\n<li>Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation.</li>\n<li>Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems.</li>\n<li>Publish and present research that moves the entire community forward.</li>\n</ul>\n<p>Share code, datasets, and insights that accelerate progress across industry and academia.</p>\n<p>This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports.</p>\n<p>It&#39;s an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.</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_7e28478b-c37","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5002212008","x-work-arrangement":"onsite","x-experience-level":"mid|senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD","x-skills-required":["Python","PyTorch","TensorFlow","JAX","Machine Learning","Deep Learning","Distributed Compute Environments"],"x-skills-preferred":["Probability","Statistics","Real-time Inference","Streaming Architectures","Optimization for Low Latency","Large-Scale Audio or Multimodal Models","Speech, Audio, Voice, or Similar Areas"],"datePosted":"2026-04-18T15:57:29.075Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, JAX, Machine Learning, Deep Learning, Distributed Compute Environments, Probability, Statistics, Real-time Inference, Streaming Architectures, Optimization for Low Latency, Large-Scale Audio or Multimodal Models, Speech, Audio, Voice, or Similar Areas","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8514594a-2d3"},"title":"Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference","description":"<p>We are looking for a Senior Staff Data Scientist to join our team. As a Senior Staff Data Scientist, you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the signal is noisy. 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Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing).</li>\n<li>Build training, playbooks, and reusable tooling.</li>\n<li>Be the escalation point for difficult measurement problems.</li>\n<li>Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.</li>\n<li>Partner with Data Platform and Engineering to make rigor scalable.</li>\n<li>Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring.</li>\n<li>Help define the minimal foundations required for trustworthy learning.</li>\n<li>Build a culture of clear claims.</li>\n<li>Establish norms for separating facts, estimates, assumptions, and uncertainties.</li>\n<li>Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.</li>\n<li>Mentor and set the bar.</li>\n<li>Coach other data scientists and analytics leaders.</li>\n<li>Create review standards for causal work,</li>\n<li>Support hiring for methodological depth,</li>\n<li>Represent Headway’s measurement philosophy internally and externally when appropriate.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).</li>\n<li>Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.</li>\n<li>Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.</li>\n<li>Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.</li>\n<li>Track record of setting org-wide standards that materially improved decision quality and execution velocity.</li>\n<li>Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.</li>\n<li>Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.</li>\n<li>Motivation for our mission: improving access and affordability in mental healthcare.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.</li>\n<li>Experience with experimentation under interference and network effects.</li>\n<li>Experience building experimentation platforms, analysis libraries, or statistical tooling used 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In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. 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Our team uses data and insights to drive evidence-based decision-making, generating actionable insights about our customers, products, and business.</p>\n<p>As a Senior Data Scientist, you&#39;ll partner with product teams to help them identify important questions and answer those questions with data. You&#39;ll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.</p>\n<p>You&#39;ll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You&#39;ll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.</p>\n<p>Increasingly, you&#39;ll use AI-assisted tools to accelerate analysis, coding, and insight generation. You&#39;ll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. You&#39;ll build scalable data products that enable stakeholders to self-serve insights and raise the bar for how AI is used within RAD.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Partnering with product teams to help them identify important questions and answer those questions with data</li>\n<li>Working closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities</li>\n<li>Designing, building, and updating end-to-end data pipelines</li>\n<li>Partnering closely with product researchers to build a holistic understanding of our customers, products, and business</li>\n<li>Using AI-assisted tools to accelerate analysis, coding, and insight generation</li>\n<li>Identifying opportunities to automate your own workflows and reduce time spent on repetitive tasks</li>\n<li>Building scalable data products that enable stakeholders to self-serve insights</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>5+ years of experience working with data to solve problems and drive evidence-based decisions</li>\n<li>Strong SQL skills and solid grounding in statistics</li>\n<li>Experience working closely with product teams</li>\n<li>Proven track record of delivering actionable insights that drive measurable impact with minimal supervision</li>\n<li>Strong product intuition, business acumen, and ability to connect analysis to strategy</li>\n<li>Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes</li>\n<li>Strong ownership, curiosity, and growth mindset</li>\n<li>Experience with a scientific computing language (e.g., Python)</li>\n</ul>\n<p>Preferred skills include:</p>\n<ul>\n<li>Experience with data modeling and ETL pipelines (esp. dbt)</li>\n<li>Experience building internal tools, data products, or self-serve analytics capabilities</li>\n<li>Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication</li>\n</ul>\n<p>Benefits include:</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up</li>\n<li>Unlimited access to Claude Code and best-in-class AI tools; experimentation &amp; building is encouraged &amp; celebrated</li>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen</li>\n<li>Regular compensation reviews - we reward great work</li>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents</li>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it</li>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones</li>\n<li>MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done</li>\n</ul>\n<p>Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow</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_69e8923b-c16","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7749323","x-work-arrangement":null,"x-experience-level":null,"x-job-type":null,"x-salary-range":null,"x-skills-required":["SQL","statistics","experience working with product teams","strong product intuition","business acumen","excellent communication skills","strong ownership","curiosity","growth mindset","experience with a scientific computing language (e.g., Python)"],"x-skills-preferred":["data modeling and ETL pipelines (esp. dbt)","building internal tools","data products","or self-serve analytics capabilities","leveraging AI across the data workflow"],"datePosted":"2026-04-18T15:56:25.055Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"skills":"SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, growth mindset, experience with a scientific computing language (e.g., Python), data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07a3c83e-51e"},"title":"Research Engineer, Infrastructure, Numerics","description":"<p>We&#39;re looking for an infrastructure research engineer to design and build the core systems that enable efficient large-scale model training with a focus on numerics. You will focus on improving the numerical foundations of our distributed training stack, from precision formats and kernel optimizations to communication frameworks that make training trillion-parameter models stable, scalable, and fast.</p>\n<p>This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.</li>\n<li>Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.</li>\n<li>Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.</li>\n<li>Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.</li>\n<li>Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.</li>\n<li>Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.</li>\n<li>Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.</li>\n</ul>\n<p>Skills and Qualifications:</p>\n<p>Minimum qualifications:</p>\n<ul>\n<li>Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.</li>\n<li>Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.</li>\n<li>Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.</li>\n<li>A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.</li>\n<li>Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.</li>\n</ul>\n<p>Preferred qualifications , we encourage you to apply if you meet some but not all of these:</p>\n<ul>\n<li>Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.</li>\n<li>Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.</li>\n<li>Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.</li>\n<li>Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.</li>\n<li>Experience training and supporting large-scale AI models.</li>\n<li>Track record of improving research productivity through infrastructure design or process improvements.</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Location: This role is based in San Francisco, California.</li>\n<li>Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.</li>\n<li>Visa sponsorship: We sponsor visas. While we can&#39;t guarantee success for every candidate or role, if you&#39;re the right fit, we&#39;re committed to working through the visa process together.</li>\n<li>Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_07a3c83e-51e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5013937008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD","x-skills-required":["Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar","Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures","Thriving in a highly collaborative environment involving many, different cross-functional partners and subject matter experts","Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems","Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM"],"x-skills-preferred":["Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs","Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA","Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models","Experience training and supporting large-scale AI models","Track record of improving research productivity through infrastructure design or process improvements"],"datePosted":"2026-04-18T15:56:14.922Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar, Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures, Thriving in a highly collaborative environment involving many, different cross-functional partners and subject matter experts, Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems, Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM, Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs, Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA, Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models, Experience training and supporting large-scale AI models, Track record of improving research productivity through infrastructure design or process improvements","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_36e235bd-519"},"title":"Senior Data Science Manager, AI Products","description":"<p>How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox&#39;s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that.</p>\n<p>You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.</p>\n<p>Joining on the ground floor of this startup team, you&#39;ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Manage and scale a high performing team of data scientists</li>\n</ul>\n<ul>\n<li>Coach and mentor data scientists of varying experiences to ensure their continued growth</li>\n</ul>\n<ul>\n<li>Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment</li>\n</ul>\n<ul>\n<li>Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies</li>\n</ul>\n<ul>\n<li>Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written</li>\n</ul>\n<ul>\n<li>Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate</li>\n</ul>\n<ul>\n<li>Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities&#39; long-term growth</li>\n</ul>\n<ul>\n<li>Identify what matters most and prioritise ruthlessly</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field</li>\n</ul>\n<ul>\n<li>10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company</li>\n</ul>\n<ul>\n<li>3+ years of experience directly managing data scientists or product analysts</li>\n</ul>\n<ul>\n<li>Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact</li>\n</ul>\n<ul>\n<li>Deep understanding of statistical analysis, experimentation design, and common analytical techniques</li>\n</ul>\n<ul>\n<li>Experience using data to inform product and business decisions that led to measurable outcomes</li>\n</ul>\n<ul>\n<li>Exceptional verbal and written communication skills</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience in startups or building 0→1 products</li>\n</ul>\n<ul>\n<li>Expertise in using data to inform AI/ML product development</li>\n</ul>\n<ul>\n<li>Background in SaaS product</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Canada Pay Range $187,900-$254,100 CAD</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_36e235bd-519","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7512377","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$187,900-$254,100 CAD","x-skills-required":["data science","statistics","applied mathematics","economics","computer science","engineering","quantitative discipline","data-driven analysis","product roadmap","business decision","data science projects","user experience","measurable business impact","statistical analysis","experimentation design","common analytical techniques","data-driven insights","product roadmaps","strategies","communication skills","verbal and written communication"],"x-skills-preferred":["startups","AI/ML product development","SaaS product"],"datePosted":"2026-04-18T15:55:53.682Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, statistics, applied mathematics, economics, computer science, engineering, quantitative discipline, data-driven analysis, product roadmap, business decision, data science projects, user experience, measurable business impact, statistical analysis, experimentation design, common analytical techniques, data-driven insights, product roadmaps, strategies, communication skills, verbal and written communication, startups, AI/ML product development, SaaS product","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":187900,"maxValue":254100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_27ecbf0a-523"},"title":"Senior GTM Data Scientist","description":"<p>We are building a GTM Data Products team to embed machine learning and AI directly into our Sales and Marketing workflows. We are hiring a Senior GTM Data Scientist to design and deploy predictive systems that materially improve customer acquisition, sales efficiency, and customer retention and expansion.</p>\n<p>This is not a reporting role. 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As a Senior Data Science Manager, you will lead a team of high-calibre data scientists to partner with Product, Engineering, and Sales to build a world-class, transparent, and efficient marketplace.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Inspire, lead, and grow a team of data scientists to achieve our longer-term vision</li>\n<li>Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions</li>\n<li>Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies</li>\n<li>Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals</li>\n<li>Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance</li>\n<li>Continually develop &amp; execute on a Data Science roadmap and vision for your team</li>\n<li>Stay abreast of industry best practices and emerging technologies in the field of advertising and data science</li>\n<li>Foster a culture of innovation, collaboration, and technical excellence</li>\n<li>Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>PhD or Master&#39;s degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields</li>\n<li>4+ years of management experience. Experience managing managers is a bonus</li>\n<li>Strong skills in programming (Python or R) and SQL</li>\n<li>Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving</li>\n<li>Deep understanding of Ads Marketplace</li>\n<li>Extensive experience of online experimentation and causal inference</li>\n<li>Ability to communicate &amp; discuss low-level technical topics as well as high-level strategies</li>\n<li>Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action</li>\n<li>Results-oriented with a strong customer and business focus</li>\n<li>Track-record driving product roadmap and execution with strong cross-org collaborations</li>\n<li>Ability to provide structure and tackle ambiguous and undefined problems</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Comprehensive Medical Benefits &amp; Health Care Spending Account</li>\n<li>Registered Retirement Savings Plan with matching contributions</li>\n<li>Income Replacement Programs</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</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_320d2ae6-c73","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7749131","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields","4+ years of management experience","Strong skills in programming (Python or R) and SQL","Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs)","Deep understanding of Ads Marketplace"],"x-skills-preferred":["Online experimentation and causal inference","Ability to communicate & discuss low-level technical topics as well as high-level strategies"],"datePosted":"2026-04-18T15:55:49.331Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Ontario, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields, 4+ years of management experience, Strong skills in programming (Python or R) and SQL, Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs), Deep understanding of Ads Marketplace, Online experimentation and causal inference, Ability to communicate & discuss low-level technical topics as well as high-level strategies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_38ba8f1b-783"},"title":"Occupational Math Tutor","description":"<p>As an AI Tutor – Occupational Math Specialist, you&#39;ll help advance xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You&#39;ll focus on math as it is used in real-world occupational settings, such as finance, accounting, insurance, operations, logistics, skilled trades, and healthcare analytics.</p>\n<p>Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.</p>\n<p>Basic Qualifications: A Master&#39;s or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor&#39;s degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.</p>\n<p>Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_38ba8f1b-783","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4997616007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["applied mathematics","probability and statistics","financial math","optimization under constraints","geometric and measurement calculations","specialized software","proprietary tools","data labeling","data evaluation","curated data","task refinement","workflow refinement","domain expertise","tax codes","building codes","regulatory compliance","professional certifications","prior professional experience","AI Tutoring experience","experience building and reviewing complex spreadsheets","financial or risk models","dashboards","technical drawings"],"x-skills-preferred":["CFA","FRM","SOA exams","CPA","Six Sigma","PE","licensed surveyor","asset management","retail or commercial banking","insurance pricing/reserving","accounting/audit","logistics/supply chain planning","healthcare analytics","public policy analysis","skilled trades"],"datePosted":"2026-04-18T15:55:17.270Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied mathematics, probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, specialized software, proprietary tools, data labeling, data evaluation, curated data, task refinement, workflow refinement, domain expertise, tax codes, building codes, regulatory compliance, professional certifications, prior professional experience, AI Tutoring experience, experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, skilled trades"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_57339490-7ab"},"title":"Analytics Consulting Manager","description":"<p>We are seeking an experienced Analytics Consulting Manager to join our team at Komodo Health. As an Analytics Consulting Manager, you will be responsible for managing the end-to-end delivery of analytics projects, translating ambiguous business questions into tractable data analysis projects, and interpreting and investigating data and statistical questions that arise through the delivery of client work.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing the end-to-end delivery of analytics projects, from scoping and planning to execution and delivery</li>\n<li>Translating ambiguous business questions into tractable data analysis projects</li>\n<li>Interpreting and investigating data and statistical questions that arise through the delivery of client work</li>\n<li>Collaborating with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables</li>\n<li>Serving as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle</li>\n<li>Monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed</li>\n</ul>\n<p>To be successful in this role, you will need to have a strong background in analytics and project management, with experience leading cross-functional teams and managing client relationships. You will also need to have excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.</p>\n<p>In addition to your technical skills and experience, you will need to be able to integrate AI into your daily work, from summarizing documents to automating workflows and uncovering insights. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar.</p>\n<p>If you are a motivated and experienced professional looking to join a dynamic team and contribute to the development of cutting-edge analytics solutions, please apply today!</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_57339490-7ab","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8460436002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$112,000-$165,000 USD (San Francisco Bay Area and New York City), $129,000-$145,000 USD (All Other US Locations)","x-skills-required":["Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics)","Minimum of 5 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients","Strong project management skills, with experience leading cross-functional teams and managing client relationships","Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences","Proficiency in data analysis tools and programming languages such as SQL, Python, or R"],"x-skills-preferred":["Experience working in a consulting or professional services environment, preferably within the healthcare industry","Experience with cloud-based analytics platforms such as AWS, Google Cloud Platform, or Azure","Familiarity with healthcare data standards and regulations, such as HIPAA and GDPR","Advanced analytical skills, including predictive modeling, machine learning, and data visualization"],"datePosted":"2026-04-18T15:55:00.487Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics), Minimum of 5 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients, Strong project management skills, with experience leading cross-functional teams and managing client relationships, Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences, Proficiency in data analysis tools and programming languages such as SQL, Python, or R, Experience working in a consulting or professional services environment, preferably within the healthcare industry, Experience with cloud-based analytics platforms such as AWS, Google Cloud Platform, or Azure, Familiarity with healthcare data standards and regulations, such as HIPAA and GDPR, Advanced analytical skills, including predictive modeling, machine learning, and data visualization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d6d2907d-177"},"title":"Research Engineer, Post-Training for Code Security Analysis","description":"<p>About Us</p>\n<p>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.</p>\n<p><strong>The Role</strong></p>\n<p>In this role, you&#39;ll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.</p>\n<p><strong>Key responsibilities:</strong></p>\n<ul>\n<li>Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.</li>\n</ul>\n<ul>\n<li>Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.</li>\n</ul>\n<ul>\n<li>Actively monitor and evolve the system&#39;s performance through metric design.</li>\n</ul>\n<ul>\n<li>Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.</li>\n</ul>\n<ul>\n<li>Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.</li>\n</ul>\n<p><strong>About You</strong></p>\n<p>We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.</p>\n<p>In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry</li>\n</ul>\n<ul>\n<li>Deep understanding of statistics is strongly preferred</li>\n</ul>\n<ul>\n<li>Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)</li>\n</ul>\n<ul>\n<li>Strong knowledge of systems design and data structures</li>\n</ul>\n<ul>\n<li>Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks</li>\n</ul>\n<ul>\n<li>Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models</li>\n</ul>\n<ul>\n<li>A passion for Artificial Intelligence.</li>\n</ul>\n<ul>\n<li>Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams</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_d6d2907d-177","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/7397549","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry","Deep understanding of statistics","Experiences in fine-tuning and adaptation of LLMs","Strong knowledge of systems design and data structures","Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks"],"x-skills-preferred":["A passion for Artificial Intelligence","Excellent communication skills and proven interpersonal skills"],"datePosted":"2026-04-18T15:54:55.309Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry, Deep understanding of statistics, Experiences in fine-tuning and adaptation of LLMs, Strong knowledge of systems design and data structures, Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks, A passion for Artificial Intelligence, Excellent communication skills and proven interpersonal skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cba88898-896"},"title":"Research Engineer, Infrastructure, Kernels","description":"<p>We&#39;re looking for an infrastructure research engineer to design, optimize, and maintain the compute foundations that power large-scale language model training. You will develop high-performance ML kernels (e.g., CUDA, CuTe, Triton), enable efficient low-precision arithmetic, and improve the distributed compute stack that makes training large models possible.</p>\n<p>This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You&#39;ll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You&#39;ll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.</li>\n<li>Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.</li>\n<li>Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.</li>\n<li>Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.</li>\n<li>Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.</li>\n<li>Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.</li>\n</ul>\n<p><strong>Skills and Qualifications</strong></p>\n<p>Minimum qualifications:</p>\n<ul>\n<li>Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.</li>\n<li>Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases</li>\n<li>Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.</li>\n<li>Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.</li>\n<li>A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.</li>\n<li>Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.</li>\n<li>Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience training or supporting large-scale language models with tens of billions of parameters or more.</li>\n<li>Track record of improving research productivity through infrastructure design or process improvements.</li>\n<li>Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.</li>\n<li>Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.</li>\n<li>Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).</li>\n<li>Contributions to open-source GPU, ML systems, or compiler optimization projects.</li>\n<li>Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.</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_cba88898-896","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5013934008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - 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You think in systems, not one-off solutions.</li>\n<li>You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You&#39;re the kind of person who could succeed in many roles at Stripe.</li>\n<li>You bias toward action and speed. You&#39;d rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what&#39;s theoretically possible next quarter.</li>\n<li>You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.</li>\n</ul>\n<p>Minimum requirements:</p>\n<ul>\n<li>5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration</li>\n<li>Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)</li>\n<li>Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you&#39;ve helped actually changed how they work</li>\n<li>Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners</li>\n<li>Comfort working across multiple workstreams and relationships simultaneously (you&#39;ll be supporting ~20 marketers at varying stages of their AI journey)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job 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metrics.</li>\n<li>Collaborate with software engineers, data engineers, product managers, and marketing to coordinate timely deployments from conception to release</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience</li>\n<li>12+ years of experience in Engineering or Scientific domains,</li>\n<li>7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams</li>\n<li>Extensive breadth and depth of knowledge of machine learning algorithms</li>\n<li>Industry experience building and productionizing machine learning systems</li>\n<li>Advanced knowledge of Python, SQL</li>\n<li>Strong oral and written communication skills</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse 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Our team is diverse not only in background and experience but also in perspective. 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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\nVisa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.\\n\\nHow we&#39;re different\\n\\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on small\\n</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4fde2d89-11c","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/5071132008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Cloud infrastructure platforms (AWS or GCP)","Data infrastructure","Large datasets","Internal tools","Machine learning models","Econometrics","Statistics","Quantitative social science research","Large language models","AI systems","ML research workflows"],"x-skills-preferred":["Full-stack mindset","Strong communication skills","Ambiguity tolerance","Problem-solving skills","Collaboration skills"],"datePosted":"2026-04-18T15:52:18.267Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Cloud infrastructure platforms (AWS or GCP), Data infrastructure, Large datasets, Internal tools, Machine learning models, Econometrics, Statistics, Quantitative social science research, Large language models, AI systems, ML research workflows, Full-stack mindset, Strong communication skills, Ambiguity tolerance, Problem-solving skills, Collaboration skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c0f23883-52f"},"title":"People Team Data Analyst, Talent Acquisition","description":"<p>At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent.</p>\n<p>As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire.</p>\n<p>In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience.</p>\n<p>You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes.</p>\n<p>Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox.</li>\n</ul>\n<ul>\n<li>Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance.</li>\n</ul>\n<ul>\n<li>Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions.</li>\n</ul>\n<ul>\n<li>Answer complex business questions through independent investigation and data forensics, leveraging the data warehouse to deliver timely, high-impact insights.</li>\n</ul>\n<ul>\n<li>Uphold high standards for data quality and consistency by validating data, standardizing definitions and calculations, and contributing to shared data toolkits and enablement materials.</li>\n</ul>\n<ul>\n<li>Contribute to TA reporting and dashboards by building visualizations and partnering with IT and analytics peers to enhance data models and warehouse capabilities.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.</li>\n</ul>\n<ul>\n<li>3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, with at least 1 year of experience focusing on Recruiting/Talent Acquisition insights.</li>\n</ul>\n<ul>\n<li>Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts.</li>\n</ul>\n<ul>\n<li>Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations.</li>\n</ul>\n<ul>\n<li>Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact.</li>\n</ul>\n<ul>\n<li>Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python.</li>\n</ul>\n<ul>\n<li>Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous environment.</li>\n</ul>\n<ul>\n<li>Collaborative, humble team player who proactively supports teammates and shared goals.</li>\n</ul>\n<ul>\n<li>Ability to treat employee experience as a product, applying product management and design thinking to understand needs, prototype solutions, and drive execution through strong project management and data-driven iteration.</li>\n</ul>\n<ul>\n<li>Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level &amp; familiarity using AI to enhance productivity are strongly preferred.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Additional technical skills (Tableau, R, Python)</li>\n</ul>\n<ul>\n<li>Strong executive presence / verbal presentation skills</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>US Zone 2</p>\n<p>$123,900-$167,700 USD</p>\n<p>US Zone 3</p>\n<p>$110,200-$149,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c0f23883-52f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7536371","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$123,900-$167,700 USD","x-skills-required":["SQL","Advanced Excel","R","Python","Tableau","Data Analysis","Data Visualization","Statistics","Mathematics","Industrial/Organizational Psychology"],"x-skills-preferred":["AI","Product Management","Design Thinking","Project Management"],"datePosted":"2026-04-18T15:51:42.273Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Technology","skills":"SQL, Advanced Excel, R, Python, Tableau, Data Analysis, Data Visualization, Statistics, Mathematics, Industrial/Organizational Psychology, AI, Product Management, Design Thinking, Project Management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":123900,"maxValue":167700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8ceb977a-8a2"},"title":"Statistics Tutor","description":"<p>As an AI Tutor - Statistics Specialist, you&#39;ll play a key role in advancing xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialised software.</p>\n<p>You&#39;ll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.</p>\n<p>All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which candidates must be comfortable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software applications to provide input/labels on defined projects.</li>\n<li>Support and ensure the delivery of high-quality curated data.</li>\n<li>Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.</li>\n<li>Interact with the technical staff to help improve the design of efficient annotation tools.</li>\n<li>Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modelling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialisation in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.</li>\n<li>Proficiency in reading and writing, both in informal and professional English.</li>\n<li>Strong ability to navigate various information resources and databases.</li>\n<li>Outstanding communication, interpersonal, analytical, and organisational capabilities.</li>\n<li>Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.</li>\n<li>A strong passion for and commitment to technological advancements and innovation.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>PhD in Statistics or a closely related quantitative field.</li>\n<li>Peer-reviewed publications in statistics, probability, or applied statistical modelling.</li>\n<li>Previous AI Tutoring experience and/or experience teaching college-level statistics courses.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.</li>\n<li>For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.</li>\n<li>We are unable to provide visa sponsorship.</li>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, 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: $45/hour - $75/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_8ceb977a-8a2","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/4925866007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["Statistics","Probability","Regression Modelling","Multivariate Analysis","Stochastic Processes","Bayesian Methods","Experimental Design","Data-Driven Applications"],"x-skills-preferred":["PhD in Statistics","Peer-Reviewed Publications","Previous AI Tutoring Experience"],"datePosted":"2026-04-18T15:50:45.429Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Probability, Regression Modelling, Multivariate Analysis, Stochastic Processes, Bayesian Methods, Experimental Design, Data-Driven Applications, PhD in Statistics, Peer-Reviewed Publications, Previous AI Tutoring Experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_146201b8-8c2"},"title":"Staff Product Manager, Paid User Acquisition","description":"<p>We&#39;re looking for a Staff Product Manager to join our Growth team. As a key member of our team, you will partner with the Consumer Marketing team to develop a global performance marketing strategy and build solutions that make our efforts more effective, efficient, and incremental.</p>\n<p>In this role, you will be responsible for developing a holistic user acquisition strategy, collaborating with Marketing and Data Science teams to measure the impact of paid initiatives. You will play a pivotal role in executing our growth strategy across all digital advertising channels.</p>\n<p>We are looking for someone with a deep understanding of the digital advertising landscape, hands-on experience with user acquisition (UA) campaigns, and a proven track record of driving mobile user growth.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead product development initiatives that support and optimize Reddit’s paid user acquisition efforts.</li>\n</ul>\n<ul>\n<li>Define the UA roadmap, balancing long-term strategic investments with continuous optimization.</li>\n</ul>\n<ul>\n<li>Architect robust tools and systems to build a state-of-the-art acquisition technology stack, providing visibility into performance and identifying areas for improvement.</li>\n</ul>\n<ul>\n<li>Design seamless user flows to retain acquired users and clearly communicate Reddit’s unique value proposition.</li>\n</ul>\n<ul>\n<li>Partner with Design, Data Science, and Engineering to build automated solutions that scale the marketing team’s ability to attract high-quality users.</li>\n</ul>\n<ul>\n<li>Ensure attribution models, paid user funnels, and incrementality metrics are fully understood, monitored, and integrated into the decision-making process.</li>\n</ul>\n<p>Who You Might Be:</p>\n<ul>\n<li>Foundational understanding of the performance marketing and user acquisition ecosystem.</li>\n</ul>\n<ul>\n<li>Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Economics, Engineering, Mathematics, Physics, or a related field.</li>\n</ul>\n<ul>\n<li>8-10 years of experience as a Product Manager for a machine learning product OR 9+ years as a Data Scientist working directly with product teams.</li>\n</ul>\n<ul>\n<li>2+ years of experience specifically in performance marketing or user acquisition.</li>\n</ul>\n<ul>\n<li>Proven ability to deliver complex, scaled projects in collaboration with cross-functional teams.</li>\n</ul>\n<ul>\n<li>Strong analytical skills with proficiency in applied statistical analysis.</li>\n</ul>\n<ul>\n<li>Hands-on experience driving execution across all stages of the product development lifecycle.</li>\n</ul>\n<ul>\n<li>Ability to lead and influence cross-functionally without direct authority.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Proficiency in writing SQL queries and exploring data independently.</li>\n</ul>\n<ul>\n<li>Master’s or PhD in Probability, Statistics, or Behavioral Economics.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n</ul>\n<ul>\n<li>401k with Employer Match</li>\n</ul>\n<ul>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n</ul>\n<ul>\n<li>Family Planning Support</li>\n</ul>\n<ul>\n<li>Gender-Affirming Care</li>\n</ul>\n<ul>\n<li>Mental Health &amp; Coaching Benefits</li>\n</ul>\n<ul>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n</ul>\n<ul>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency:</p>\n<p>This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.</p>\n<p>Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.</p>\n<p>To learn more, please visit https://www.redditinc.com/careers/</p>\n<p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state.</p>\n<p>We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.</p>\n<p>Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</p>\n<p>The base salary range for this position is $217,000-$303,900 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_146201b8-8c2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7724536","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$217,000-$303,900 USD","x-skills-required":["Digital advertising landscape","User acquisition (UA) campaigns","Performance marketing","Data science","Product development","Machine learning","Statistics","Economics","Engineering","Mathematics","Physics"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:17.534Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Digital advertising landscape, User acquisition (UA) campaigns, Performance marketing, Data science, Product development, Machine learning, Statistics, Economics, Engineering, Mathematics, Physics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":217000,"maxValue":303900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b5c8fceb-189"},"title":"Data Scientist","description":"<p><strong>About the role</strong></p>\n<p>We&#39;re looking for a Data Scientist to join our team at Stripe, where you&#39;ll work closely with our Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams.</p>\n<p>As a Data Scientist at Stripe, you&#39;ll play a crucial role in optimizing our systems and leveraging data to make strategic business decisions. 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This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS Safety organisation.</p>\n<p>As a Staff Advanced Analyst, you will be a data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data-informed decisions. You will drive day-to-day analytics and create scalable data tools, identify pain points in travelling and hosting, and work with product leadership to improve experiences for our guest, host, and agent community.</p>\n<p>In addition, you will leverage Airbnb&#39;s rich and unique data, state-of-the-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organisation. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals to help keep Airbnb&#39;s community safe and trusted.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading and driving data-driven roadmaps for the CS Safety working groups</li>\n<li>Recommending actionable solutions backed by data and metrics to product and operational problems</li>\n<li>Building and owning an insights and reporting platform that measures and improves the effectiveness of behaviours, product interfaces, and processes across the CS Safety platform and contact centre network</li>\n<li>Performing data modelling of the various entities using tools and frameworks for optimising community and agent experiences</li>\n<li>Defining and evaluating key metrics in an unstructured problem space, including measurement of the ML models that drive product development</li>\n<li>Anticipating emerging safety risks through early-warning indicators, trend analysis, predictive modelling, and scenario planning to assess operational risk</li>\n<li>Influencing data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs, and planning among others</li>\n<li>Influencing experimentation and measurement strategies; conducting power analyses, defining exit criteria, and using statistical models to improve inference</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)</li>\n<li>Experience supporting safety, risk, Trust &amp; Safety, compliance, or employee wellbeing in high-volume call centre or customer operations environments</li>\n<li>Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)</li>\n<li>Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting</li>\n<li>Working knowledge of schema design and high-dimensional data modelling (ETL framework like Airflow)</li>\n<li>Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment</li>\n<li>Comfortable operating independently with minimal planning, direction, and supervision</li>\n<li>Proven track record of influencing senior leaders and driving outcomes</li>\n</ul>\n<p>Experience Level: Staff Employment Type: Full-time Workplace Type: Remote Category: Engineering Industry: Technology Salary Range: $176,000-$220,000 USD Required Skills: SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models Preferred Skills: Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics</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_3ff860ce-94c","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/7579193","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$176,000-$220,000 USD","x-skills-required":["SQL","Python","R","Machine Learning","Data Analysis","Data Modelling","Causal Inference","Experimentation","Statistical Models"],"x-skills-preferred":["Data Science","Operations Research","Statistics","Econometrics","Computer Science","Engineering","Mathematics"],"datePosted":"2026-04-18T15:47:55.305Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"engineering","industry":"technology","skills":"SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models, Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_96dfd797-f1c"},"title":"Research Scientist","description":"<p>We&#39;re seeking a talented Research Scientist to join our team. As a Research Scientist at Anduril, you will contribute to the direction of a talented small team with your expertise and ideas. You will create mathematically principled solutions to some of the world&#39;s most challenging information science problems. You will prototype state-of-the-art algorithms in an agile development environment. You will implement high-performance software spanning the spectrum from tactical systems to web applications. You will use high-fidelity modeling and simulation environments, innovative analysis tools, and flexible compute clusters to quantify the benefit of our technology. You will engage with our customers, to ensure successful outcomes for their mission-critical needs. 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Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.</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_96dfd797-f1c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4695436007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000-$195,000 USD","x-skills-required":["Applied Mathematics","Electrical Engineering","Computer Science","Controls and Dynamical Systems","Aerospace Engineering","Statistics and Probability","Software Design","Algorithm Implementation","Software Analysis","Testing and Optimization","Probability","Statistics","Random Processes"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:36.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Huntsville, Alabama, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Applied Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, Software Design, Algorithm Implementation, Software Analysis, Testing and Optimization, Probability, Statistics, Random Processes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":148000,"maxValue":195000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c1802213-f81"},"title":"AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector","description":"<p>Job Title: AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector</p>\n<p>Job Description: The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our federal government customers build and productionize first-of-its-kind AI applications.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems.</li>\n<li>Own production rollouts of consumer and internally facing GenAI applications.</li>\n<li>Serve as a trusted technical advisor to customers across a variety of domains.</li>\n<li>Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.</li>\n<li>Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.</li>\n</ul>\n<p>What We Look For:</p>\n<ul>\n<li>Experience working with U.S. federal civilian, state, or local agencies.</li>\n<li>Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.</li>\n<li>Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.</li>\n<li>Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).</li>\n<li>Experience building production-grade machine learning deployments on AWS, Azure, or GCP.</li>\n<li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.</li>\n<li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.</li>\n<li>Passion for collaboration, life-long learning, and driving business value through AI.</li>\n</ul>\n<p>Pay Range Transparency:</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipates utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range $180,656-$248,360 USD</p>\n<p>Benefits:</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion:</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>\n<p>Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p>Compliance:</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c1802213-f81","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/8415203002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GenAI","HuggingFace","LangChain","DSPy","pandas","scikit-learn","PyTorch","AWS","Azure","GCP","Graduate degree in Computer Science, Engineering, Statistics, Operations Research, etc."],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:10.995Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Maryland; Virginia; Washington, D.C."}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI, HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP, Graduate degree in Computer Science, Engineering, Statistics, Operations Research, etc."},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2bf2ad20-150"},"title":"Occupational Math Tutor","description":"<p>As an AI Tutor – Occupational Math Specialist, you&#39;ll help advance xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. 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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting &amp; implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research &amp; technical skills.\\n\\nResponsibilities:\\n\\n<em> Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.\\n</em> Expand privacy-preserving tools to enable new analytic functionality to support research needs.\\n<em> Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don&#39;t yet exist.\\n</em> Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.\\n<em> Contribute to the strategic development of the economic research data foundations roadmap\\n</em> Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure\\n<em> Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions\\n</em> Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.\\n<em> Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission\\n\\nYou might be a good fit if you have:\\n\\n</em> Experience working with Research Scientists and Economists on ambiguous AI and economic projects\\n<em> Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.\\n</em> Experience with cloud infrastructure platforms such as AWS or GCP.\\n<em> Take pride in writing clean, well-documented code in Python that others can build upon\\n</em> Are comfortable making technical decisions with incomplete information while maintaining high engineering standards\\n<em> Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization\\n</em> Have a track record of using technical infrastructure to interface effectively with machine learning models\\n<em> Have experience deriving insights from imperfect data streams\\n</em> Have experience building systems and products on top of LLMs\\n<em> Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders\\n</em> A passion for Anthropic&#39;s mission of building helpful, honest, and harmless AI and understanding its economic implications.\\n<em> A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.\\n</em> Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.\\n\\nStrong candidates may have:\\n\\n<em> Background in econometrics, statistics, or quantitative social science research\\n</em> Experience building data infrastructure and data foundations for research\\n<em> Familiarity with large language models, AI systems, or ML research workflows\\n</em> Prior work on projects related to labor economics, technology adoption, or economic measurement\\n\\nSome Examples of Our Recent Work\\n\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\nVisa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.\\n\\nHow we&#39;re different\\n\\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on small\\n</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2bf29bb5-f9d","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/5071132008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Cloud infrastructure platforms (AWS or GCP)","Data infrastructure","Large datasets","Internal tools","Machine learning models","Language models (LLMs)","Econometrics","Statistics","Quantitative social science research"],"x-skills-preferred":["Full-stack mindset","Strong communication skills","Ambiguity tolerance","Research and development","Incubating and maturing tooling platforms"],"datePosted":"2026-04-18T15:41:59.099Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Cloud infrastructure platforms (AWS or GCP), Data infrastructure, Large datasets, Internal tools, Machine learning models, Language models (LLMs), Econometrics, Statistics, Quantitative social science research, Full-stack mindset, Strong communication skills, Ambiguity tolerance, Research and development, Incubating and maturing tooling platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2205f21-14a"},"title":"Senior/ Manager, Machine Learning, Community Support Products","description":"<p>Job Title: Senior/ Manager, Machine Learning, Community Support Products</p>\n<p>Job Description:</p>\n<p>We are looking for a Senior/ Manager, Machine Learning, Community Support Products to join our Community Support Engineering team in China. As a key member of our team, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development.</li>\n</ul>\n<ul>\n<li>Proactively take initiatives to drive for outcomes over the scope of the team.</li>\n</ul>\n<ul>\n<li>Build relationships and drive alignment with stakeholders within Community Support and across external teams.</li>\n</ul>\n<ul>\n<li>Communicate difficult or complex concepts and decisions clearly and effectively with multiple stakeholders across various functions.</li>\n</ul>\n<ul>\n<li>Provide critical guidance and input in prioritization over multiple major projects.</li>\n</ul>\n<ul>\n<li>Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives.</li>\n</ul>\n<ul>\n<li>Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>Expertise in ML &amp; AI: Deep knowledge of various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products.</li>\n</ul>\n<ul>\n<li>Leadership in ML Development: Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences.</li>\n</ul>\n<ul>\n<li>Management and Mentorship: Strong leadership skills with a track record of nurturing an innovative and collaborative team environment.</li>\n</ul>\n<ul>\n<li>Communication Excellence: Exceptional verbal and written communication abilities, with a keen eye for detail.</li>\n</ul>\n<ul>\n<li>Collaborative Spirit: Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally.</li>\n</ul>\n<ul>\n<li>Problem Solving: Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches.</li>\n</ul>\n<ul>\n<li>Educational Background: PhD, or Master&#39;s degree in Computer Science, Mathematics, Statistics, or related technical field.</li>\n</ul>\n<ul>\n<li>Industry Experience: 9+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs.</li>\n</ul>\n<ul>\n<li>Leadership Experience: 2+ years managing machine learning teams that deliver large impact.</li>\n</ul>\n<ul>\n<li>Technical Proficiency: Expert knowledge of machine learning algorithms and techniques.</li>\n</ul>\n<ul>\n<li>Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes.</li>\n</ul>\n<p>Your Location</p>\n<p>This position is China - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.</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. 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This person will make Databricks smarter and more data-driven at the highest levels of leadership , translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors.</p>\n<p>Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator , someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage.</p>\n<p>As a Principal Data Scientist, you will:</p>\n<ul>\n<li>Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors , ensuring data science insights directly inform the company&#39;s most critical decisions.</li>\n<li>Serve as the company&#39;s chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems.</li>\n<li>Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story.</li>\n<li>Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning , the kind of synthesized, judgment-rich insight that AI cannot autonomously create.</li>\n<li>Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.</li>\n<li>Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent.</li>\n<li>Define and evolve company-wide scientific methodologies , experimentation frameworks, forecasting systems, causal inference approaches , to match and push industry state-of-the-art.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.</li>\n<li>Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making.</li>\n<li>Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning.</li>\n<li>Exceptional written and verbal communication , the ability to make complex statistical concepts intuitive and compelling for non-technical executives.</li>\n<li>Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality.</li>\n<li>Experience at the intersection of statistics and large-scale technology or data platforms.</li>\n<li>Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.</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_40d7aa0b-d9c","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/8456277002","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data science","statistics","quantitative research","experimentation","causal inference","forecasting","optimization","machine learning","written communication","verbal communication"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:41.951Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - California; San Francisco, California; Seattle, Washington"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, statistics, quantitative research, experimentation, causal inference, forecasting, optimization, machine learning, written communication, verbal communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4e80a65-378"},"title":"Anthropic Fellows Program — Reinforcement Learning","description":"<p><strong>About the Role</strong></p>\n<p>The Anthropic Fellows Program is a 4-month full-time research opportunity that provides funding and mentorship to promising technical talent. As a Reinforcement Learning Fellow, you will work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g., a paper submission).</p>\n<p><strong>What to Expect</strong></p>\n<ul>\n<li>4 months of full-time research</li>\n<li>Direct mentorship from Anthropic researchers</li>\n<li>Access to a shared workspace (in either Berkeley, California or London, UK)</li>\n<li>Connection to the broader AI safety and security research community</li>\n<li>Weekly stipend of $3,850 USD / £2,310 GBP / $4,300 CAD + benefits (these vary by country)</li>\n<li>Funding for compute (~$15k/month) and other research expenses</li>\n</ul>\n<p><strong>Responsibilities</strong></p>\n<p>As a Reinforcement Learning Fellow, you will be responsible for:</p>\n<ul>\n<li>Building model-based tools to better understand AI training data and improve training data quality</li>\n<li>Conducting research and implementing solutions in areas such as RL algorithms</li>\n<li>Collaborating with other researchers and engineers to advance the state-of-the-art in reinforcement learning</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Fluency in Python programming</li>\n<li>Strong background in a discipline relevant to reinforcement learning (e.g., computer science, mathematics, or physics)</li>\n<li>Experience in areas of research or engineering related to reinforcement learning</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.</p>\n<p><strong>How to Apply</strong></p>\n<p>Applications and interviews are managed by Constellation, our official recruiting partner for this program. Clicking &quot;Apply here&quot; will redirect you to Constellation&#39;s application portal.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d4e80a65-378","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183052008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Reinforcement Learning","Machine Learning","Deep Learning","Computer Science"],"x-skills-preferred":["Software Engineering","Data Analysis","Statistics","Mathematics"],"datePosted":"2026-04-18T15:40:25.711Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Reinforcement Learning, Machine Learning, Deep Learning, Computer Science, Software Engineering, Data Analysis, Statistics, Mathematics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d94b43ab-0e0"},"title":"Research Scientist, Information Quality","description":"<p><strong>Job Title</strong></p>\n<p>Research Scientist, Information Quality</p>\n<p><strong>Job Description</strong></p>\n<p>This role requires a passion for advancing information literacy through AI &amp; machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.</p>\n<p>Key responsibilities include formulating metrics, simulations, rapid prototyping of ML techniques, exploratory data analysis, collaborating with product teams to drive research, and developing tools and frameworks to accelerate research. A public example of research work is Backstory.</p>\n<p><strong>About Us</strong></p>\n<p>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.</p>\n<p><strong>The Role</strong></p>\n<p>To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You&#39;ll join an interdisciplinary team of domain experts, ML researchers, and engineers to conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation.</p>\n<p>Relevant domains may include, but are not limited to, determining media authenticity, context discovery, and open source intelligence investigations. A public example of recent work is Backstory.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Drive the projects by defining key research questions.</li>\n<li>Design, implement, and evaluate experiments to provide clear answers</li>\n<li>Contribute to real world impact, by landing your research in Google products and services.</li>\n<li>Publish research findings in top academic conferences and journals</li>\n<li>Stay up-to-date with the latest advancements in the field</li>\n<li>Collaborate with internal and external scientific domain experts.</li>\n</ul>\n<p><strong>About You</strong></p>\n<p>In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>PhD in Computer Science, Statistics, or a related field.</li>\n<li>Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).</li>\n<li>Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.</li>\n<li>Experience with training, evaluating, and interpreting large language models.</li>\n<li>Experience working with large and noisy datasets.</li>\n<li>Experience collaborating across fields.</li>\n<li>Proven ability to design and execute independent research projects.</li>\n</ul>\n<p>When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.</p>\n<p>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 full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.</p>\n<p>Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p>\n<p>Application deadline: April 28th, 2026</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d94b43ab-0e0","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/7408812","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$174,000 USD - $252,000 USD + bonus + equity + benefits","x-skills-required":["PhD in Computer Science, Statistics, or a related field","Strong publication record in top machine learning and/or computer vision conferences or journals","Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding"],"x-skills-preferred":["Passion for research on societal benefits and implications of the internet and AI with focus in information literacy","Experience with training, evaluating, and interpreting large language models","Experience working with large and noisy datasets","Experience collaborating across fields","Proven ability to design and execute independent research projects"],"datePosted":"2026-04-18T15:39:36.602Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; San Francisco, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in Computer Science, Statistics, or a related field, Strong publication record in top machine learning and/or computer vision conferences or journals, Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding, Passion for research on societal benefits and implications of the internet and AI with focus in information literacy, Experience with training, evaluating, and interpreting large language models, Experience working with large and noisy datasets, Experience collaborating across fields, Proven ability to design and execute independent research projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":174000,"maxValue":252000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aa7ebb20-cd1"},"title":"Research Engineer, Post-Training for Code Security Analysis","description":"<p>JOB DESCRIPTION:</p>\n<p>About Us</p>\n<p>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.</p>\n<p><strong>The Role</strong></p>\n<p>In this role, you&#39;ll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.</p>\n<p><strong>Key responsibilities:</strong></p>\n<ul>\n<li>Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.</li>\n</ul>\n<ul>\n<li>Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.</li>\n</ul>\n<ul>\n<li>Actively monitor and evolve the system&#39;s performance through metric design.</li>\n</ul>\n<ul>\n<li>Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.</li>\n</ul>\n<ul>\n<li>Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.</li>\n</ul>\n<p><strong>About You</strong></p>\n<p>We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.</p>\n<p>In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry</li>\n</ul>\n<ul>\n<li>Deep understanding of statistics is strongly preferred</li>\n</ul>\n<ul>\n<li>Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)</li>\n</ul>\n<ul>\n<li>Strong knowledge of systems design and data structures</li>\n</ul>\n<ul>\n<li>Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks</li>\n</ul>\n<ul>\n<li>Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models</li>\n</ul>\n<ul>\n<li>A passion for Artificial Intelligence.</li>\n</ul>\n<ul>\n<li>Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams</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_aa7ebb20-cd1","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/7397549","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry","Deep understanding of statistics","Experiences in fine-tuning and adaptation of LLMs","Strong knowledge of systems design and data structures","Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks"],"x-skills-preferred":["A passion for Artificial Intelligence","Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams"],"datePosted":"2026-04-18T15:39:01.360Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry, Deep understanding of statistics, Experiences in fine-tuning and adaptation of LLMs, Strong knowledge of systems design and data structures, Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks, A passion for Artificial Intelligence, Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_970e6d0b-743"},"title":"Senior Staff Data Scientist, GeminiApp x-Product","description":"<p><strong>About the Role</strong></p>\n<p>As a Data Scientist lead on the GeminiApp team, you will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner with PM, engineering, and UX leadership to develop data-driven product strategies across various areas of GeminiApp</li>\n</ul>\n<ul>\n<li>Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights</li>\n</ul>\n<ul>\n<li>Develop and implement novel, goal-oriented metrics</li>\n</ul>\n<ul>\n<li>Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience</li>\n</ul>\n<ul>\n<li>Communicate findings &amp; recommendations to stakeholders, including executives</li>\n</ul>\n<ul>\n<li>Champion data-driven culture by feeding user engagement insights back into models</li>\n</ul>\n<ul>\n<li>Collaborate with the GenAI team on model quality and feature adoption</li>\n</ul>\n<ul>\n<li>Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>A bias for action and a relentless drive to build something great</li>\n</ul>\n<ul>\n<li>Strong business acumen and a strategic mindset</li>\n</ul>\n<ul>\n<li>Deep technical expertise</li>\n</ul>\n<ul>\n<li>Exceptional communication and presentation skills</li>\n</ul>\n<ul>\n<li>A collaborative and influential partner</li>\n</ul>\n<ul>\n<li>A commitment to user trust and privacy</li>\n</ul>\n<p><strong>Why You&#39;ll Love Working Here</strong></p>\n<ul>\n<li>Impact: You&#39;ll have a direct and meaningful impact on a product designed to empower billions of people</li>\n</ul>\n<ul>\n<li>Growth: We&#39;re a fast-growing team within Google, and you&#39;ll have the opportunity to evolve quickly to meet changing user needs</li>\n</ul>\n<ul>\n<li>Team &amp; Culture: You&#39;ll work with a talented and passionate team of people who are excited about what they do and have fun doing it</li>\n</ul>\n<p><strong>Minimum qualifications</strong></p>\n<ul>\n<li>Master&#39;s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field</li>\n</ul>\n<ul>\n<li>10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Graduate degree in Statistics, Computer Science, Engineering or Mathematics</li>\n</ul>\n<ul>\n<li>Familiarity with modern Machine Learning and LLM techniques</li>\n</ul>\n<ul>\n<li>Strong organization and prioritization skills along with outstanding written and verbal communication skills</li>\n</ul>\n<ul>\n<li>Strong data science coding skills in Python, R, SQL or related languages</li>\n</ul>\n<ul>\n<li>Experience articulating business questions and using mathematical techniques to arrive at an answer using available data</li>\n</ul>\n<ul>\n<li>Experience translating analysis results into business recommendations</li>\n</ul>\n<ul>\n<li>Proven experience delivering bespoke analytics to senior stakeholders (problem scoping/definition, modeling, interpretation, presentation)</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The US base salary range for this full-time position is between $248,000 USD - 349,000 USD + bonus + equity + benefits.</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_970e6d0b-743","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GeminiApp","sameAs":"https://www.geminiapp.com/","logo":"https://logos.yubhub.co/geminiapp.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7576202","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$248,000 USD - 349,000 USD + bonus + equity + benefits","x-skills-required":["data science","machine learning","statistics","python","R","SQL","database querying","statistical analysis"],"x-skills-preferred":["modern machine learning","LLM techniques","organization","prioritization","written communication","verbal communication","data science coding"],"datePosted":"2026-04-18T15:38:44.774Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, machine learning, statistics, python, R, SQL, database querying, statistical analysis, modern machine learning, LLM techniques, organization, prioritization, written communication, verbal communication, data science coding","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":248000,"maxValue":349000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f77be5b8-7b6"},"title":"Finance Expert - Risk","description":"<p>As a Finance Risk Expert at xAI, you will play a crucial role in advancing our cutting-edge AI systems by providing high-quality annotations, expert evaluations, and detailed risk reasoning using specialized labeling tools.</p>\n<p>You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing &amp; scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).</p>\n<p>This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI&#39;s mission by helping train and refine frontier AI models. 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All outputs are considered work-for-hire and owned by xAI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects</li>\n<li>Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards</li>\n<li>Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks</li>\n<li>Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools</li>\n<li>Select and solve challenging problems from financial risk domains where you have deep expertise</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f77be5b8-7b6","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/5040365007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":null,"x-skills-required":["Quantitative Finance","Financial Engineering","Financial Mathematics","Statistics","Applied Mathematics","Econometrics","Risk Management","Operations Research","Physics","Computer Science","Python","R","Monte Carlo simulation","copula models","stochastic processes","time-series analysis","extreme value theory","machine learning","Bloomberg","Refinitiv","Moody’s Analytics","S&P Capital IQ","RiskMetrics","internal bank risk systems","regulatory filings","Basel/FRB datasets"],"x-skills-preferred":["Professional 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As a member of our Public Sector Delivery team, you are a catalyst, willing to go deep, get technical, and drive change. You are the ultimate hands-on leader, triaging customer issues and support, using data and analytics to align internal resources around Scale’s hardest problems, and driving the creation of tools that add direct value to Scale’s Public Sector customers. All of this serves an ultimate goal of delivering outsized value in supporting our Public Sector customer’s AI/ML objectives.</p>\n<p>Your natural inclination is to dive into both technology and organisational processes to craft effective solutions and gain efficiencies. You are biased towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on customer objectives. You have a track record of driving technical projects to completion, and stewarding lasting organisational change. And you are naturally empathetic, have high EQ, and excel at building long-term relationships through diligent problem solving, domain competence, and thoughtful, strategic discussions</p>\n<p>You will:</p>\n<ul>\n<li>Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers</li>\n<li>Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions</li>\n<li>Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space</li>\n<li>Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous</li>\n<li>Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains</li>\n<li>Lead a cross-functional team to exceed the customer’s AI/ML objectives</li>\n<li>Manage the long-term health of the customer base by identifying and preempting areas of risk or concern</li>\n<li>Strategically identify ways we can make customer success repeatable and solve issues for future customers</li>\n<li>Address engineering problems alongside the product development teams</li>\n</ul>\n<p>Must Haves:</p>\n<ul>\n<li>An active TS/SCI clearance</li>\n<li>3+ years of experience succeeding in stakeholder management or customer-facing role</li>\n<li>A technical background (education or professional experience with CS, Economics, Statistics, Engineering)</li>\n<li>A deep understanding of ML operations process</li>\n<li>A track record of structured, analytics-driven problem-solving</li>\n<li>Excellent verbal and written communication skills</li>\n<li>Willingness to travel at least 25% of the time</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_e47d5e68-462","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4633072005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$187,200-$234,000 USD","x-skills-required":["Python","SQL","CS","Economics","Statistics","Engineering","ML operations process","Structured, analytics-driven problem-solving","Excellent verbal and written communication skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:34:40.200Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, CS, Economics, Statistics, Engineering, ML operations process, Structured, analytics-driven problem-solving, Excellent verbal and written communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":187200,"maxValue":234000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2f60560e-b87"},"title":"Applied Math Tutor","description":"<p>As an AI Tutor - Applied Math Specialist, you&#39;ll play a key role in advancing xAI&#39;s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software.</p>\n<p>You&#39;ll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging applied math problems to boost performance.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software applications to provide input/labels on defined projects.</li>\n<li>Support and ensure the delivery of high-quality curated data.</li>\n<li>Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.</li>\n<li>Interact with the technical staff to help improve the design of efficient annotation tools.</li>\n<li>Choose problems from applied math domains that align with your expertise, focusing on areas such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, and related fields where you can confidently provide detailed solutions and evaluate model responses.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Must have either (a) a Master’s or PhD in Mathematics with a specialization in a subdomain of applied mathematics (there is a separate position for pure math) or (b) a medal in an International Math Olympiad (IMO) or similar level math competition.</li>\n<li>Proficiency in reading and writing, both in informal and professional English.</li>\n<li>Strong ability to navigate various information resources and databases.</li>\n<li>Outstanding communication, interpersonal, analytical, and organizational capabilities.</li>\n<li>Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.</li>\n<li>A strong passion for and commitment to technological advancements and innovation.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Math PhD with a specialization in a subdomain of applied mathematics.</li>\n<li>Peer-reviewed applied math publications in well-regarded journals.</li>\n<li>Previous AI Tutoring experience and/or experience teaching college courses.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.</li>\n<li>For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.</li>\n<li>We are unable to provide visa sponsorship.</li>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, 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: $45/hour - $75/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_2f60560e-b87","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/4925878007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["applied mathematics","probability","statistics","numerical analysis","optimization","operations research","dynamical systems","data modeling"],"x-skills-preferred":["math PhD","peer-reviewed publications","AI tutoring experience"],"datePosted":"2026-04-18T15:32:44.335Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied mathematics, probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, math PhD, peer-reviewed publications, AI tutoring experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_306a6a6f-98c"},"title":"AI Tutor - Crypto","description":"<p>As a Crypto Expert, you will be vital in enhancing xAI&#39;s frontier AI models by supplying high-quality annotations, evaluations, and expert reasoning using proprietary labeling tools. You will work closely with technical teams to support the creation and refinement of new AI tasks, focusing especially on cryptocurrency and digital asset markets.</p>\n<p>Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies , including on-chain analysis, DeFi protocols, perpetual futures &amp; derivatives trading, cross-exchange arbitrage, market microstructure in fragmented venues, MEV-aware execution, machine learning for crypto alpha signals, and portfolio/risk management in high-volatility 24/7 markets.</p>\n<p>This role demands sharp quantitative thinking, quick adaptation to evolving instructions, and the ability to deliver precise, technically robust critiques and solutions in a dynamic environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Utilize proprietary software to deliver accurate labels, rankings, critiques, and in-depth solutions on assigned projects</li>\n<li>Consistently produce high-quality, curated data adhering to rigorous technical and domain standards</li>\n<li>Partner with engineers and researchers to iterate on new training tasks, evaluation frameworks, and crypto-specific benchmarks</li>\n<li>Offer actionable feedback to enhance the efficiency, accuracy, and usability of annotation and data-collection interfaces</li>\n<li>Identify and solve challenging problems from crypto &amp; digital asset domains where you have strong expertise , examples include:</li>\n</ul>\n<ul>\n<li>On-chain metrics analysis and wallet/flow clustering for alpha generation</li>\n<li>DeFi yield farming, liquidity provision, and impermanent loss modeling</li>\n<li>Cross-exchange / CEX-DEX arbitrage and triangular opportunities</li>\n<li>Perpetual futures funding rate strategies and basis trading</li>\n<li>Market microstructure in crypto order books (fragmented liquidity, MEV, sandwich attacks)</li>\n<li>Machine learning models for price prediction, sentiment from social/on-chain, volatility forecasting</li>\n<li>Tokenomics evaluation, airdrop/IDO quantitative assessment, and risk premia in altcoins</li>\n<li>Portfolio optimization and risk management in 24/7 high-volatility environments</li>\n</ul>\n<ul>\n<li>Provide rigorous critiques of model outputs, alternative quantitative approaches, mathematical derivations, code snippets, and step-by-step crypto reasoning</li>\n<li>Efficiently interpret, analyze, and complete tasks based on detailed (and evolving) guidelines</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Computer Science (with crypto/blockchain focus), Statistics, Applied Mathematics, Economics (quantitative), Physics, Operations Research, Data Science, or closely related field or equivalent professional experience as a quantitative crypto trader, systematic strategist, or on-chain analyst</li>\n<li>Superior written and verbal English communication (technical papers, explanatory breakdowns, professional correspondence)</li>\n<li>Extensive hands-on familiarity with crypto data sources and tools (CoinGecko, CoinMarketCap, Dune Analytics, Glassnode, Nansen, Chainalysis, Messari, DefiLlama, The Graph, blockchain explorers, CEX APIs, on-chain datasets, etc.)</li>\n<li>Outstanding analytical skills, attention to detail, and sound judgment under partial information</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Professional experience in quantitative crypto trading, systematic strategies, or on-chain research at a crypto hedge fund, prop desk, market-making firm, DeFi protocol, or digital asset investment firm</li>\n<li>Publications or public analyses in crypto quant topics (e.g., journals, conferences, reputable blogs, GitHub repos with notable traction)</li>\n<li>Teaching, mentoring, or content-creation experience in crypto/quant finance (university, bootcamps, Twitter threads, newsletters)</li>\n<li>Proficiency in Python for crypto analysis (pandas, NumPy, ccxt, web3.py, etherscan APIs, polars, scikit-learn, PyTorch/TensorFlow for ML models, etc.) and/or Rust/Solidity familiarity</li>\n<li>Experience with backtesting crypto strategies, handling tick-level or on-chain data, managing API rate limits, and dealing with 24/7 market quirks</li>\n<li>Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena</li>\n<li>CFA, FRM, CQF, or blockchain-specific certifications (e.g., Certified Blockchain Expert)</li>\n<li>Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts (strong plus)</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. 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International candidates: $25/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.</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_306a6a6f-98c","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/5040344007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["Proprietary software","Python for crypto analysis","Rust/Solidity familiarity","Machine learning models","Quantitative finance","Financial engineering","Computer science","Statistics","Applied mathematics","Economics","Physics","Operations research","Data science"],"x-skills-preferred":["Professional experience in quantitative crypto trading","Publications or public analyses in crypto quant topics","Teaching, mentoring, or content-creation experience in crypto/quant finance","Proficiency in Python for crypto analysis","Experience with backtesting crypto strategies","Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena","CFA, FRM, CQF, or blockchain-specific certifications","Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts"],"datePosted":"2026-04-18T15:32:12.526Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Proprietary software, Python for crypto analysis, Rust/Solidity familiarity, Machine learning models, Quantitative finance, Financial engineering, Computer science, Statistics, Applied mathematics, Economics, Physics, Operations research, Data science, Professional experience in quantitative crypto trading, Publications or public analyses in crypto quant topics, Teaching, mentoring, or content-creation experience in crypto/quant finance, Proficiency in Python for crypto analysis, Experience with backtesting crypto strategies, Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena, CFA, FRM, CQF, or blockchain-specific certifications, Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c655a7e7-485"},"title":"Director, MedEcon","description":"<p>Job Title: Director, MedEcon</p>\n<p>About this role:</p>\n<p>As the Director of MedEcon, you will be a key leader in the organisation covering claims-based analysis, actuarial science, and medical economics. This is a foundational finance role that requires both strategic vision and hands-on execution. You will be responsible for building out the next generation of actuarial and medical economics capabilities while simultaneously delivering critical analyses that drive our business and clinical strategy.</p>\n<p>While your actuarial knowledge is important, your core focus will be combining financial data, claims data, and operational performance data to drive insightful analysis that help push the Waymark care model forward through deep collaboration with analytics.</p>\n<p>Reporting to the Chief Revenue Officer (acting CFO), you will lead financial performance measurement and forecasting for value-based contracts. You will be a technical expert who ensures we accurately forecast performance, understand cost trends, identify opportunities for clinical impact, and communicate our value to partners.</p>\n<p>This role requires someone who can both develop sophisticated analyses themselves and build the infrastructure to scale these capabilities. You will work at the intersection of finance, partnerships, clinical operations, and analytics,translating complex actuarial and medical economics concepts into actionable insights for both internal stakeholders and external health plan and health system partners. You must be as comfortable building an IBNR model or conducting a cost trend analysis as you are presenting financial projections to a health plan CFO or helping to guide contract negotiations.</p>\n<p>Understanding the nuances of Medicaid is essential and an added bonus if you have experience with Medicare Advantage and Dual Eligibles. Healthcare data in these populations can be incomplete and inconsistent, and the regulatory environment is complex and varies by state. Your deep expertise in these markets, combined with your ability to build robust analytical frameworks despite data challenges, will be critical to our success.</p>\n<p>Key Responsibilities:</p>\n<p>• Own savings forecasts and monthly financial close for all value-based contracts, including shared savings accruals, reserves, and IBNR development\n• Build and maintain financial models capturing performance drivers under MLR-based and RCT-based contract structures; monitor cost trends and provide early warnings of variances with recommended actions\n• Serve as the technical authority on total cost of care projections, conducting and reviewing sophisticated analyses, cost trend studies, and actuarial modeling as needed\n• Lead year-end contract reconciliation with health plan actuaries and provide actuarial/financial guidance during contract negotiations\n• Develop underwriting frameworks (MLR targets, performance guarantees, risk corridors) and build methodologies to accurately measure organisational performance across contract structures\n• Perform deep-dive cost trend analyses to identify clinical impact opportunities; generate insights that drive clinical model innovation and support strategic planning across market opportunities and growth scenarios\n• Serve as the primary technical counterpart to health plan actuaries during data validation, reconciliation, and negotiations\n• Lead discussions to resolve methodology differences and communicate findings clearly to non-technical stakeholders\n• Develop compelling value narratives and analytical exhibits that translate complex medical economics findings into actionable recommendations\n• Build, grow, and lead a best-in-class medical economics and actuarial function\n• Develop analytical tools, data infrastructure, and reporting frameworks that improve team efficiency and scale capabilities\n• Dive deep into data quality issues and work cross-functionally to resolve discrepancies; write analytical memos and reports that communicate findings to senior leadership</p>\n<p>Minimum Qualifications:</p>\n<p>• Advanced degree in a quantitative field (actuarial science, statistics, mathematics, economics, public health, or related)\n• 10+ years of progressive experience in health actuarial science or medical economics, with at least 3-5 years in a leadership role\n• Demonstrable expertise in Medicaid, including capitation, risk adjustment, MLR requirements, and regulatory frameworks\n• Proven track record with value-based care arrangements, shared savings contracts, and risk-bearing models, including contract underwriting, performance forecasting, and financial reconciliation\n• Expert-level proficiency in actuarial and medical economics methodologies (reserving, pricing, trend analysis, total cost of care modeling); strong SQL, Python, and/or R skills; advanced Excel/financial modeling; and experience with large, complex healthcare datasets\n• Demonstrated ability to build and lead high-performing analytical teams in growth-stage organisations, with exceptional communication skills across technical and non-technical audiences\n• Equal parts strategic thinker and hands-on executor , able to build vision and infrastructure while personally conducting sophisticated analyses\n• Comfortable with ambiguity, fast-moving priorities, and building effective cross-functional partnerships</p>\n<p>Preferred Qualifications:</p>\n<p>• ASA credential or meaningful progress toward FSA\n• Deep Medicaid managed care experience, including state program variations, CMS regulations, and actuarial standards of practice (ASOP)\n• Understanding of care delivery models, clinical quality measures, and the relationship between clinical interventions and medical costs\n• Experience building analytical functions from the ground up in early-stage or high-growth companies\n• Genuine commitment to improving care for underserved populations and closing health equity gaps</p>\n<p>Salary Range:</p>\n<p>US Employees in San Francisco/Bay Area, New York City - $175,000 - $231,000</p>\n<p>US Employees in Boston, Los Angeles, Seattle, Washington DC - $161,000 - $212,000</p>\n<p>US Employees in Arlington, Denver, San Diego, Sacramento - $154,000 - $203,000</p>\n<p>US Employees in Albany, Atlanta, Austin, Baltimore, Central/Southern, Charlotte, Chicago, Dallas/Fort Worth, Detroit, Houston, Las Vegas, Miami, Milwaukee, Philadelphia, Portland, Research Triangle, Salt Lake City, Twin Cities - $140,000 - $185,000</p>\n<p>US Employees in Baton Rouge, Birmingham, Charleston, Cincinnati, Cl</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_c655a7e7-485","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Waymark","sameAs":"https://www.waymark.com/","logo":"https://logos.yubhub.co/waymark.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/waymark/jobs/4674265005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000 - $231,000","x-skills-required":["Actuarial science","Statistics","Mathematics","Economics","Public health","SQL","Python","R","Excel","Financial modeling","Large complex healthcare datasets"],"x-skills-preferred":["ASA credential","FSA","Medicaid managed care experience","CMS regulations","Actuarial standards of practice","Care delivery models","Clinical quality measures","Clinical interventions","Medical costs"],"datePosted":"2026-04-17T13:08:14.763Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Healthcare","skills":"Actuarial science, Statistics, Mathematics, Economics, Public health, SQL, Python, R, Excel, Financial modeling, Large complex healthcare datasets, ASA credential, FSA, Medicaid managed care experience, CMS regulations, Actuarial standards of practice, Care delivery models, Clinical quality measures, Clinical interventions, Medical costs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":231000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_980a6242-1cf"},"title":"Member of Technical Staff - Quantitative Research","description":"<p>We&#39;re looking for a full-stack scientist to pioneer quantitative research efforts at Udio. You will build at the intersection of research, engineering and product, bridging disciplines by drawing on huge, one-of-a-kind proprietary datasets of music, metadata and user interactions/feedback.</p>\n<p>Design &amp; own evaluation/optimization frameworks for frontier music models. Dive deep under the hood of our music generation systems, applying computational &amp; human resources to understand model capabilities and identify areas for growth. Build optimization loops and apply your findings to our pretraining, post-training and inference systems as applicable.</p>\n<p>Drive product &amp; research roadmap. Own our data roadmap end-to-end, formulating research questions, exploring/linking/expanding data sources and conducting experiments at your discretion. Your work will span data mining, machine learning, causal inference, survey design and more, and your results will be critical for decision-making in product development, research investment and overall business direction.</p>\n<p>Build stable infrastructure. Your work will reach far beyond the jupyter kernel, manifesting in robust integrations with our research &amp; product tech stacks, potentially in performance-critical paths. You&#39;ll also build large-scale standalone data processing systems, allocating resources as needed to manage the data ecosystem.</p>\n<p>Champion scientific rigor. As our first quantitative researcher, you&#39;ll cultivate a culture of scientific rigor across the company and deepen common understanding of models, users and data. You&#39;ll proactively identify opportunities, define metrics, share results, and build a rigorous foundation upon which to understand our highly subjective domain.</p>\n<p>We&#39;re looking for someone with deep quantitative expertise, preferably a Ph.D. in statistics, mathematics, physics, or another quantitative discipline, or 5+ years&#39; industry experience as a quantitative analyst / data scientist. Autonomy &amp; ownership are key, as you&#39;ll thrive in greenfield research domains, undefined product categories and small, flat teams. Engineering chops are also important, as you&#39;ll need to translate your ideas into clear, production-ready code and collaborate in an active research codebase.</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_980a6242-1cf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Udio","sameAs":"https://udio.com","logo":"https://logos.yubhub.co/udio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/udio/jobs/5081608008","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$250k - $350k","x-skills-required":["Ph.D. in statistics, mathematics, physics, or another quantitative discipline","5+ years' industry experience as a quantitative analyst / data scientist","Deep learning frameworks","JAX","GCP","Apache Beam/DataFlow","Kubernetes","TensorFlow Data / TFRecord"],"x-skills-preferred":["Obsession with music & the science of sound","Experience in DSP, MIR, music production / composition / performance","Big record collection"],"datePosted":"2026-04-17T13:06:29.547Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City (Remote possible for exceptional candidates)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Ph.D. in statistics, mathematics, physics, or another quantitative discipline, 5+ years' industry experience as a quantitative analyst / data scientist, Deep learning frameworks, JAX, GCP, Apache Beam/DataFlow, Kubernetes, TensorFlow Data / TFRecord, Obsession with music & the science of sound, Experience in DSP, MIR, music production / composition / performance, Big record collection","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":350000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8ceddf6d-02e"},"title":"Staff Product Manager - AI Foundations","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.</p>\n<p>As a Product Manager on the AI Foundations team, you will drive Plaid&#39;s AI strategy by building the data and intelligence layer that powers smarter financial experiences. You will work across engineering, data science, and research to develop scalable AI systems,from core embeddings and representation learning to applied model integrations that enhance developer and consumer outcomes.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>AI Platform Vision: Define the strategy, roadmap, and success metrics for Plaid’s core AI and data foundation, enabling smarter, more adaptive financial products across the ecosystem.</li>\n</ul>\n<ul>\n<li>System Development: Partner with Engineering and Data Science to design scalable AI systems, from model training and evaluation pipelines to APIs that deliver intelligence at scale.</li>\n</ul>\n<ul>\n<li>Product Execution: Drive initiatives from concept to production, balancing rapid experimentation with reliability, transparency, and responsible AI practices.</li>\n</ul>\n<ul>\n<li>Cross-Functional Collaboration: Work closely with research, platform, and product teams to embed AI capabilities across Plaid’s products and developer platform.</li>\n</ul>\n<ul>\n<li>Measurement and Iteration: Use metrics, model performance data, and customer feedback to validate impact, inform prioritization, and continuously improve outcomes.</li>\n</ul>\n<ul>\n<li>Communication and Alignment: Translate complex AI concepts into clear narratives and tradeoffs for technical and non-technical stakeholders, building shared understanding across teams.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>8+ years of product management experience with direct experience leading AI/ML or applied intelligence products from concept to production with measurable impact.</li>\n</ul>\n<ul>\n<li>Deep technical fluency in how modern ML systems are trained, evaluated, deployed, and monitored, with the ability to engage confidently with engineers and data scientists.</li>\n</ul>\n<ul>\n<li>Strategic and executional range. Skilled at defining long-term AI vision while delivering near-term experiments, prototypes, and launches.</li>\n</ul>\n<ul>\n<li>Platform mindset and experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworks.</li>\n</ul>\n<ul>\n<li>Strong communicator and influencer who can translate complex AI concepts into clear narratives and decisions for technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Commitment to responsible AI and transparency, especially in regulated or high-trust domains.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. 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_8ceddf6d-02e","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/2f79ded3-c9b3-407d-b3c1-da42d5e95693","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$207,600-$306,600 per year","x-skills-required":["AI","Machine Learning","Data Science","Product Management","Engineering","Data Analysis","Statistics"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:50:55.280Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"AI, Machine Learning, Data Science, Product Management, Engineering, Data Analysis, Statistics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":207600,"maxValue":306600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e4305742-104"},"title":"Director of Data","description":"<p>We&#39;re looking for a Director of Data who can help us use the approaches that led to the creation of relational databases to drive Mercury&#39;s success.</p>\n<p>In this role, you&#39;ll lead a full-stack data organisation of 30+ data scientists and data engineers embedded across Mercury&#39;s business and product teams. You&#39;ll define how data is built, governed, and leveraged , shaping a culture where anyone can access trusted data, ask hard questions, and self-serve at scale. You&#39;ll architect the systems that help Mercury move faster, invest smarter, and make better decisions at every level.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build, lead, and develop a high-performing team of 30+ data scientists and data engineers embedded across GTM, Core Product, and Risk, ensuring Mercury&#39;s most important decisions are grounded in rigorous, trusted data.</li>\n<li>Define and execute a forward-looking data strategy that embeds rigorous, data-driven decision-making into how Mercury sets company priorities, builds products, and manages risk.</li>\n<li>Lead Mercury&#39;s evolution toward self-serve data at scale by shipping high-leverage data platforms that empower teams to move quickly from question to insight to action.</li>\n<li>Elevate data reliability, governance, and security as core capabilities by shaping the standards and systems required to operate as a scaled financial institution.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of experience, including 4+ years managing a team of data science or data engineering managers.</li>\n<li>Track record of partnering with and influencing executives, equipping them with the tools, reporting, and advanced analytics needed to make decisions , proactively surfacing opportunities and risks they may not see.</li>\n<li>Bring strong opinions on how data should inform decision-making, with the ability to translate that perspective into scalable practices and standards.</li>\n<li>Have deep expertise in data science, machine learning, statistics, financial calculations, and experimentation for commercial applications.</li>\n<li>Experience developing high-performing data teams, setting a high talent bar while fostering an inspiring environment of ownership, growth, and impact.</li>\n<li>Have developed self-service analytics capabilities at scale, expanding access to reliable data and powering AI-enabled insights for business and product teams.</li>\n<li>Partner effectively with People, Legal, Compliance, and Privacy teams to ensure that we are enforcing best practices and compliant standards for data privacy and security.</li>\n</ul>\n<p>Total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.</p>\n<p>Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate&#39;s experience, expertise, geographic location, and internal pay equity relative to peers.</p>\n<p>Our target new hire base salary ranges for this role are:</p>\n<ul>\n<li>US employees: $320,000-$420,000</li>\n<li>Canadian employees (any location): CAD $302,400-$396,900</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_e4305742-104","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5812226004","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$320,000-$420,000 (US employees), CAD $302,400-$396,900 (Canadian employees)","x-skills-required":["data science","machine learning","statistics","financial calculations","experimentation","data governance","data security","data engineering","team management"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:31.179Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Fintech","skills":"data science, machine learning, statistics, financial calculations, experimentation, data governance, data security, data engineering, team management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":302400,"maxValue":420000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3048ccd4-7de"},"title":"Data Analyst","description":"<p>We are seeking a Data Analyst to join our growing data team. As a Data Analyst at LayerZero, you will be at the forefront of shaping a rich data foundation for a company making a real impact in the web3 space. You will work closely with teams and leaders to uncover insights, drive decision-making, and fuel our next-generation products and services.</p>\n<p>The successful candidate will dive headfirst into the world of crypto data, exploring on-chain wallets and contracts, block and transaction data, insights from in-house systems, and third-party intelligence. Your mission will be to combine these diverse datasets into rich, actionable data products for a broad group of stakeholders.</p>\n<p>Key responsibilities include:\nLeveraging and expanding our ever-growing Kimball dimensional model.\nWriting SQL to create and expand insights in our in-house reporting solutions.\nCollaborating with stakeholders across the organization to conduct ad-hoc explorations and analytics.\nBeing a key owner of data quality, building out insights that serve the data team itself.\nComposing pipelines by writing SQL code to clean, combine, refine, and aggregate data into the insights the organization needs.\nCollaborating on new datasets to ingest into our Snowflake data warehouse, working closely with data engineers on your team.\nNot afraid of pushing code that supports tens of billions of dollars in daily transaction volume.</p>\n<p>We are looking for someone with previous data analyst experience, likely with a bachelor&#39;s degree in Computer Science, Statistics, Mathematics, Physics or related field, but we also consider and highly value equivalent practical experience.</p>\n<p>Required skills include strong SQL knowledge and experience, proven track record in data modeling, statistics, and analytics, experience working with a broad range of stakeholders, and strong convictions weakly held.\nNice to have skills include experience with general programming, experience with Snowflake, experience building DAG-based data pipelines, experience with streaming real-time data pipelines, previous experience with blockchain technologies, smart contracts, and decentralized finance, experience with Kimball dimensional modeling, and working on a mid-to-large scale data stacks.</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_3048ccd4-7de","directApply":true,"hiringOrganization":{"@type":"Organization","name":"LayerZero","sameAs":"https://layerzero.com/","logo":"https://logos.yubhub.co/layerzero.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/layerzerolabs/jobs/5787956004","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","data modeling","statistics","analytics","Snowflake","Kimball dimensional modeling"],"x-skills-preferred":["general programming","DAG-based data pipelines","streaming real-time data pipelines","blockchain technologies","smart contracts","decentralized finance"],"datePosted":"2026-04-17T12:41:37.110Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver, BC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, data modeling, statistics, analytics, Snowflake, Kimball dimensional modeling, general programming, DAG-based data pipelines, streaming real-time data pipelines, blockchain technologies, smart contracts, decentralized finance"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f82b9847-6c8"},"title":"Senior Exploration Geologist","description":"<p>About the company</p>\n<p>KoBold Metals is a privately held mineral exploration company and technology developer. It has become the largest independent mineral exploration company and largest exploration technology developer.</p>\n<p>In the six years since founding, KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.</p>\n<p>About the position</p>\n<p>In this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations</li>\n<li>Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets</li>\n<li>Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation</li>\n<li>Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners)</li>\n<li>Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods</li>\n</ul>\n<p>Qualifications</p>\n<p>A great Senior Exploration Geologist candidate will have:</p>\n<ul>\n<li>Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage</li>\n<li>Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets</li>\n<li>Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns</li>\n<li>Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS)</li>\n<li>Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams</li>\n<li>Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration</li>\n<li>Demonstrated commitment to high standards of health and safety in the workplace</li>\n<li>A minimum of 10 years experience in the mineral exploration industry</li>\n</ul>\n<p>It is helpful but not required to have:</p>\n<ul>\n<li>Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)</li>\n<li>Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data</li>\n<li>International experience, particularly in the Central African Copperbelt</li>\n</ul>\n<p>Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply.</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_f82b9847-6c8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"KoBold Metals","sameAs":"https://www.koboldmetals.com/","logo":"https://logos.yubhub.co/koboldmetals.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/koboldmetals/jobs/4350560005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$110,000-$170,000","x-skills-required":["Strong technical knowledge of one or more ore deposit types","Rigorously analyse geoscientific datasets","Design, budget, permit, and execute field programs","Provide technical guidance and support to local in-country project teams","Work collaboratively with data scientist colleagues"],"x-skills-preferred":["Working knowledge of one programming or scripting language","Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data","International experience, particularly in the Central African Copperbelt"],"datePosted":"2026-04-17T12:40:21.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong technical knowledge of one or more ore deposit types, Rigorously analyse geoscientific datasets, Design, budget, permit, and execute field programs, Provide technical guidance and support to local in-country project teams, Work collaboratively with data scientist colleagues, Working knowledge of one programming or scripting language, Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data, International experience, particularly in the Central African Copperbelt","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":110000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c01f9dc6-b17"},"title":"Data Scientist - Staff or Senior (United Kingdom)","description":"<p>In this role, you will build predictive models and apply scientific computing, statistical, and physics-based methods to find places with evidence of ore-forming processes and predict locations of ore-grade mineralization in 2D and 3D.</p>\n<p>You will help build a worldwide dataset for our exploration program, with careful attention to identifying and quantifying uncertainty in the data and predictions.</p>\n<p>You will create models and develop software to accelerate discovery of critical battery metals.</p>\n<p>You will join an outstanding team of data scientists and engineers and work closely with (*applicant&#39;s) world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits.</p>\n<p>Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce uncertainty in our predictions and guide the next phase of field work.</p>\n<p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems.</p>\n<p>As one of the early members of this team, you will help build these tools from the ground up.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Help develop KoBold&#39;s proprietary software exploration tools.</li>\n<li>Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold&#39;s proprietary data system.</li>\n<li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth&#39;s crust.</li>\n<li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li>\n<li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li>\n<li>Present to and collaborate with our external partners and stakeholders.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Technical skills, including extensive experience with Python&#39;s data science packages and general software engineering practices.</li>\n<li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li>\n<li>Cloud computing resources.</li>\n<li>Building predictive models, applying them to different problems, and evaluating and interpreting the results.</li>\n<li>Data from a variety of physical systems.</li>\n<li>Geospatial analyses and visualizations.</li>\n</ul>\n<p>Technical knowledge:</p>\n<ul>\n<li>Broad skills in and knowledge of applied statistics and Bayesian inference.</li>\n<li>Substantial understanding of machine learning algorithms.</li>\n</ul>\n<p>Training and work experience:</p>\n<ul>\n<li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li>\n<li>A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.</li>\n<li>Experience leading technical teams to apply novel scientific approaches to core business problems.</li>\n</ul>\n<p>Work practices and motivation:</p>\n<ul>\n<li>Ability to take ownership and responsibility of large projects.</li>\n<li>Ability to explain technical problems to and collaborate on solutions with domain experts.</li>\n<li>Communicates well on a collaborative, cross-functional team.</li>\n<li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li>\n<li>Ability to independently prioritize multiple tasks effectively.</li>\n<li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.</li>\n<li>Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.</li>\n<li>Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.</li>\n<li>A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.</li>\n</ul>\n<p>Preferred skills include creating machine learning models on geospatial data, geostatistics, image processing or computer vision, and distributed computing applications for machine learning and other computations.</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_c01f9dc6-b17","directApply":true,"hiringOrganization":{"@type":"Organization","name":"KoBold Metals","sameAs":"https://www.koboldmetals.com/","logo":"https://logos.yubhub.co/koboldmetals.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/koboldmetals/jobs/4677631005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,00 - $240,000 (USD) plus equity and benefits","x-skills-required":["Python's data science packages","General software engineering practices","Collaborative software development (git)","Software engineering best practices","Cloud computing resources","Building predictive models","Applying models to different problems","Evaluating and interpreting 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In this role, you will build predictive models and apply scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.</p>\n<p>You will join an outstanding team of data scientists and engineers and will work closely with KoBold&#39;s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.</p>\n<p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Help develop KoBold&#39;s proprietary software exploration tools.</li>\n<li>Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold&#39;s proprietary data system.</li>\n<li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth&#39;s crust.</li>\n<li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li>\n<li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li>\n<li>Present to and collaborate with our external partners and stakeholders.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ccc99db2-dd4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"KoBold Metals","sameAs":"https://www.koboldmetals.com/","logo":"https://logos.yubhub.co/koboldmetals.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/koboldmetals/jobs/4677639005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000 - $240,000 (USD) plus equity and benefits","x-skills-required":["Python's data science packages","General software engineering practices","Collaborative software development (git)","Cloud computing resources","Building predictive models","Applying machine learning algorithms","Data from a variety of physical systems","Geospatial analyses and visualizations"],"x-skills-preferred":["Creating machine learning models on geospatial data","Geostatistics","Image processing or computer vision","Distributed computing applications for machine learning and other computations"],"datePosted":"2026-04-17T12:39:51.870Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python's data science packages, General software engineering practices, Collaborative software development (git), Cloud computing resources, Building predictive models, Applying machine learning algorithms, Data from a variety of physical systems, Geospatial analyses and visualizations, Creating machine learning models on geospatial data, Geostatistics, Image processing or computer vision, Distributed computing applications for machine learning and other computations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e49fd9b7-491"},"title":"Applied Research Engineer, Agents","description":"<p>Job Title: Applied Research Engineer, Agents</p>\n<p>About the Role:</p>\n<p>As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high-value problems that our customers encounter each and every day.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting-edge insight generation systems.</li>\n<li>Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.</li>\n<li>You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.</li>\n<li>Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.</li>\n<li>Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.</li>\n<li>Stay up-to-date with the latest advancements and research in the space.</li>\n<li>Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications.</li>\n<li>Ensure that systems are efficient, maintainable, and well-monitored.</li>\n<li>Iterate on validation and testing frameworks.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or related field.</li>\n<li>Master&#39;s degree in Computer Science, Mathematics, Machine Learning, or a related field is a plus.</li>\n<li>7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.</li>\n<li>Strong programming skills in Python.</li>\n<li>Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.</li>\n<li>Experience with Search and Indexing technologies.</li>\n<li>Proficient in machine learning techniques and algorithms.</li>\n<li>Experience working with foundational models and corresponding APIs.</li>\n<li>Knowledge of statistical analysis and data scraping techniques.</li>\n<li>Prior experience in developing NLP models and systems.</li>\n<li>Experience with prompting and building LLM applications and agents is a plus.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Experience building agentic systems or LLM-enabled products.</li>\n<li>Frequent user of AI products, especially during the development lifecycle (i.e., Cursor, Claude Code, etc).</li>\n</ul>\n<p>Compensation:</p>\n<p>The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate&#39;s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.</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_e49fd9b7-491","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Hebbia","sameAs":"https://hebbia.com/","logo":"https://logos.yubhub.co/hebbia.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/hebbia/jobs/4585152005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 to $300,000","x-skills-required":["Python","NLP","Machine Learning","Statistics","Programming","Search and Indexing technologies","Foundational models","APIs","Statistical analysis","Data scraping techniques"],"x-skills-preferred":["LLM applications","Agentic systems","AI 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decision-making.</p>\n<p>This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organisational planning strategies.</p>\n<p>While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop, analyse, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement.</li>\n<li>Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers).</li>\n<li>Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions.</li>\n<li>Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations.</li>\n<li>Design, build, and maintain scalable and automated dashboards.</li>\n<li>Establish consistent KPI definitions and reporting standards.</li>\n<li>Improve data visualisation practices to ensure clarity, usability, and impact.</li>\n<li>Replace manual reporting processes with automated, real-time reporting solutions.</li>\n<li>Ensure high levels of data accuracy, integrity, and trust.</li>\n<li>Serve as primary People data and HRIS reporting expert.</li>\n<li>Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows.</li>\n<li>Manage data governance standards to ensure compliance and data privacy best practices.</li>\n<li>Identify process improvements that enhance efficiency, data structure and accessibility.</li>\n<li>Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems.</li>\n<li>Champion system education to drive employee and manager self-service adoption and data and systems utilisation.</li>\n<li>Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Statistics, Data Science, Business Analytics, HR, Economics, or related field.</li>\n<li>5–7 years of experience in People Analytics, Workforce Analytics, HRIS Analytics, or related analytical roles.</li>\n<li>Prior experience modifying, improving and/or implementing People systems (Greenhouse, Paylocity a bonus).</li>\n<li>Advanced proficiency in data visualisation tools (Tableau, Power BI, Looker, or similar).</li>\n<li>Strong experience building executive dashboards from the ground up.</li>\n<li>Knowledge of data, statistical, and predictive analysis.</li>\n<li>Advanced Excel/Google Sheets skills.</li>\n<li>Experience working with large, complex datasets.</li>\n<li>Demonstrated ability to translate data into clear business insights and recommendations.</li>\n<li>Strong understanding of core People processes (recruiting, compensation, performance, engagement, workforce planning).</li>\n<li>Excellent verbal and written communication skills.</li>\n<li>Strong analytical and problem-solving skills.</li>\n<li>Passion for driving continuous improvement simplifying workflows, implementing automation, and driving self-service.</li>\n<li>Demonstrated interest in leveraging AI to enhance systems and analytics.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience in a high-growth biotech or startup environment, with exposure to IPO preparation, public company reporting requirements, or SOX-compliant processes.</li>\n<li>Familiarity with Greenhouse, Paylocity, or other HRIS/ATS platforms.</li>\n<li>Exposure to predictive analytics or basic modelling techniques.</li>\n<li>SHRM-CP or SHRM-SCP certification.</li>\n</ul>\n<p>Benefits and additional information:</p>\n<p>The US target range of our base salary for new hires is $120,275 - $170,100. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.</p>\n<p>Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.</p>\n<p>We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.</p>\n<p>Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</p>\n<p>Applicants have rights under Federal Employment Laws.</p>\n<p>Family &amp; Medical Leave Act (FMLA)</p>\n<p>Equal Employment Opportunity (EEO)</p>\n<p>Employee Polygraph Protection Act (EPPA)</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_6fb4a600-300","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8460884002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$120,275 - $170,100","x-skills-required":["data visualisation","statistics","data science","business analytics","HR","economics","People analytics","workforce analytics","HRIS analytics","Greenhouse","Paylocity","Tableau","Power BI","Looker","Excel","Google Sheets","predictive analysis","data governance","AI","LLMs","ML"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:36:29.001Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"biotech","skills":"data visualisation, statistics, data science, business analytics, HR, economics, People analytics, workforce analytics, HRIS analytics, Greenhouse, Paylocity, Tableau, Power BI, Looker, Excel, Google Sheets, predictive analysis, data governance, AI, LLMs, ML","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":120275,"maxValue":170100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d9617e30-42e"},"title":"Senior Computational Biologist I","description":"<p>We are seeking a Senior Computational Biologist, Assay Development to help grow our Computational Biology, Assay Development (CBAD) team. As part of our team, you will apply your scientific expertise to the development of early, non-invasive tests for cancer detection. With a strong background in bioinformatics, statistics, and molecular biology, you will develop, write, and execute analysis plans and reports for the development and characterization of our in vitro diagnostic devices and regulatory filings.</p>\n<p>The role reports to the Director of Computational Biology. This role can be Hybrid (2-3 days onsite in Brisbane, CA) or Remote role.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Plan and execute development experiments for our multiomics cancer screening tests.</li>\n<li>Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval.</li>\n<li>Use your quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection.</li>\n<li>Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies, closely partnering with Biostatistics, Development, and Pre-Analytics teams.</li>\n<li>Work closely with molecular and computational research teams developing our IVD products for blood-based molecular assays involving cell-free DNA.</li>\n<li>Impact patient lives through the development and launch of high-quality cancer screening technologies.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field.</li>\n<li>3+ years of industry experience.</li>\n<li>Experience with molecular biology and next-generation sequencing.</li>\n<li>Experience in experimental design and analysis of high-throughput, quantitative technologies.</li>\n<li>Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays.</li>\n<li>Experience in applied statistics, such as in hypothesis testing, GLM, and appropriate use of simulation.</li>\n<li>Expertise in data analysis and visualization using R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control.</li>\n<li>Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail.</li>\n<li>Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) preferred.</li>\n<li>Experience with a variety of NGS methods (e.g., WGS, target capture with UMI, bisulfite sequencing, RNA-seq).</li>\n</ul>\n<p><strong>Benefits and Additional Information:</strong></p>\n<p>The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.</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_d9617e30-42e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8502244002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$161,925 - $227,325","x-skills-required":["bioinformatics","statistics","molecular biology","computational biology","next-generation sequencing","data analysis","data visualization","R","Python","version control"],"x-skills-preferred":["experience in the development of diagnostic devices in a regulated environment","experience with a variety of NGS methods"],"datePosted":"2026-04-17T12:36:26.179Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"bioinformatics, statistics, molecular biology, computational biology, next-generation sequencing, data analysis, data visualization, R, Python, version control, experience in the development of diagnostic devices in a regulated environment, experience with a variety of NGS methods","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":161925,"maxValue":227325,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b67915f7-5db"},"title":"Data Analytics Intern","description":"<p>Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family&#39;s future. Kids and teens learn to earn, save, spend wisely, and invest.</p>\n<p>At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It&#39;s no small task, and that&#39;s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.</p>\n<p>Greenlight&#39;s internship is a paid program for current college students. Throughout the internship, you&#39;ll collaborate on thoughtful projects and bring your fresh perspectives to impact our product and families. We encourage you to make your mark here as you grow as a professional, broaden your network, learn new skills and live the Greenlight mission , to empower families to build financial strength, protect what matters most, and stay deeply connected,so they can thrive together in every stage of life.</p>\n<p>We&#39;re looking for a Data Analytics Intern to join our Marketing Science team for Summer 2026. This is a hands-on role centered on an end-to-end project: building AI-powered reporting automation for a marketing vertical. You&#39;ll scope, develop, and deliver the solution using Claude to streamline workflows, reduce manual work, and improve consistency,then present your results to the team at the end of the summer. Comfort experimenting with AI-driven workflows is essential. This role reports directly to the Senior Director, Business Analytics.</p>\n<p><strong>What you will be doing:</strong></p>\n<ul>\n<li>Your primary deliverable for the summer will be a reporting automation project. You&#39;ll scope, build, and ship an AI-powered reporting automation solution covering a marketing vertical, reducing manual effort, improving consistency, and making it faster for the team to get to answers. This is real work that will stay in production after you leave.</li>\n</ul>\n<ul>\n<li>Claude is your primary tool for this project. You&#39;ll use it to design workflows, generate and review SQL, automate templated outputs, and document your work. Learning to prompt well and trust-but-verify AI output is a core skill you&#39;ll develop this summer.</li>\n</ul>\n<ul>\n<li>Support day-to-day analytical work across growth marketing, CRM, registration, and website: data pulls, dashboard updates, and ad-hoc queries alongside your main project.</li>\n</ul>\n<ul>\n<li>Present your project at the end of the summer to the Marketing Science team and stakeholders. Walk through the problem, your approach, what you built, and what it saves.</li>\n</ul>\n<ul>\n<li>Keep your work documented. Clean write-ups, clear SQL, and documented workflows are a team standard, not an afterthought.</li>\n</ul>\n<p><strong>What you should bring:</strong></p>\n<ul>\n<li>A 3.0 GPA or higher.</li>\n</ul>\n<ul>\n<li>Currently enrolled in a Bachelor’s program in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field (rising junior or senior preferred).</li>\n</ul>\n<ul>\n<li>Coursework, class projects, or self-directed work that shows you can write SQL queries and think through a data problem. You don’t need to be an expert. You need to demonstrate real ability and a willingness to learn fast.</li>\n</ul>\n<ul>\n<li>A proactive mindset. You spot the thing no one asked about. You follow up when a result doesn’t look right. You find work to do rather than waiting for it to find you.</li>\n</ul>\n<ul>\n<li>When you take on a task, you see it through. You don’t hand back half-finished work and wait for someone else to close it out.</li>\n</ul>\n<ul>\n<li>You’re comfortable starting from a fuzzy question and working toward a clear answer. Marketing analytics rarely comes with perfectly scoped problems.</li>\n</ul>\n<ul>\n<li>You can explain what you found and why it matters to someone who didn’t run the analysis.</li>\n</ul>\n<ul>\n<li>Some experience using Claude, ChatGPT, or similar AI tools for analytical or technical tasks. You know how to prompt, validate output, and not treat the first answer as the final answer.</li>\n</ul>\n<p><strong>Learning Opportunities:</strong></p>\n<ul>\n<li>Own and ship an AI-powered reporting automation project end-to-end, with real output that stays in use after the internship</li>\n</ul>\n<ul>\n<li>Get hands-on experience using Claude to build workflows, write and review SQL, and automate marketing analytics work</li>\n</ul>\n<ul>\n<li>Present your work to the team and stakeholders, building experience explaining your approach, impact, and what the solution saves</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Who we are: It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team.</p>\n<p>Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law. Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email accomodations@greenlight.me.</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_b67915f7-5db","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Greenlight","sameAs":"https://www.greenlight.com/","logo":"https://logos.yubhub.co/greenlight.com.png"},"x-apply-url":"https://jobs.lever.co/greenlight/000fea6e-4dc2-42a7-9389-b6591dbecdb1","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["SQL","Claude","AI-driven workflows","data science","statistics","economics","mathematics","computer science"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:36:18.825Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Finance","skills":"SQL, Claude, AI-driven workflows, data science, statistics, economics, mathematics, computer science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4cd5fc23-d03"},"title":"Associate Data Analyst","description":"<p>We&#39;re looking for an Associate Data Analyst to join our Marketing Science team. This role sits within Marketing Science and spans all four marketing verticals: growth marketing, CRM, registration, and website. You&#39;ll work across the full acquisition and engagement funnel, supporting different teams as business needs shift.</p>\n<p>Your day-to-day will involve:\nSupporting CRM analytics: measuring campaign effectiveness, audience segmentation, lifecycle reporting, and engagement across email, push, and in-app channels.\nSupporting paid channel performance reporting across growth marketing (Meta, Google, CTV, affiliates, OOH), tracking CAC, LTV, payback period, and funnel conversion metrics.\nBuilding and maintaining dashboards in Tableau that surface growth and CRM KPIs to marketing and leadership stakeholders.\nRunning data pulls, user list generation, and ad-hoc queries to support day-to-day marketing decisions and campaign targeting.\nHelping maintain attribution reporting pipelines and flagging data quality issues as they arise.\nPartnering with senior analysts on dbt model contributions and learning how business logic is encoded into scalable, reusable analytics models over time.\nKeeping documentation current on reports, dashboards, and metric definitions so that stakeholders can self-serve confidently.\nBringing structure to ambiguous requests and clarifying questions before jumping to answers.</p>\n<p>What you&#39;ll bring to the team:\nA bachelor&#39;s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.\nCoursework, academic projects, internships, or self-directed work that demonstrates you can write SQL queries, think through data problems, and pull meaningful signal from messy data.\nAbility to create clear, effective data visualizations, select appropriate chart types, and communicate insights to non-technical audiences.\nProactive mindset with the ability to identify opportunities, investigate anomalies, and take initiative without waiting for direction.\nDemonstrated AI proficiency: a project, coursework, or self-directed work where you used Claude or a similar AI tool to do something analytical.</p>\n<p>Preferred experience:\nInternship or project experience in a marketing, growth, CRM, or web analytics context.\nFamiliarity with marketing metrics: CAC, LTV, ROAS, conversion rates, attribution models, or cohort analysis.\nExposure to dbt or data modeling concepts (dimensional modeling, metric definitions, semantic layers).\nPython experience for data manipulation, scripting, or automation.\nExperience with Tableau, Looker, or another BI tool beyond coursework.\nParticipation in data competitions, open-source projects, or self-directed analytical work that demonstrates intellectual curiosity outside the classroom.</p>\n<p>Work perks at Greenlight:\nMedical, dental, vision, and HSA match.\nPaid life insurance, AD&amp;D, and disability benefits.\nTraditional 401k with company match.\nUnlimited PTO.\nPaid company holidays and pop-up bonus holidays.\nProfessional development stipends.\nMental health resources.\n1:1 financial planners.\nFertility healthcare.\n100% paid parental and caregiving leave, plus cleaning service and meals during your leave.\nFlexible WFH, both remote and in-office opportunities.\nFully stocked kitchen, catered lunches, and occasional in-office happy hours.\nEmployee resource groups.</p>\n<p>Our stance on salaries:\nGreenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience, and skill set.\nThe total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more.\nGreenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.\nThe estimated base pay range for this position in (NY, CA, WA): $65,000- 90,000.\nThe estimated base pay range for this position in (CO): $65,000- 80,000.</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_4cd5fc23-d03","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Greenlight","sameAs":"https://www.greenlight.com/","logo":"https://logos.yubhub.co/greenlight.com.png"},"x-apply-url":"https://jobs.lever.co/greenlight/beded9c4-6acf-4fcc-8aa9-8870555d2bfb","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$65,000- 90,000","x-skills-required":["SQL","Tableau","dbt","Python","data visualization","data analysis","marketing metrics","attribution models"],"x-skills-preferred":["data science","machine learning","statistics","economics","mathematics","computer science"],"datePosted":"2026-04-17T12:35:34.632Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"SQL, Tableau, 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breakthroughs in machine learning and data science. 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We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.</p>\n<p>We are looking for a FBS Associate Data Scientist to join our team. As a FBS Associate Data Scientist, you will utilize basic knowledge to apply analytics and modeling techniques to improve business results. You will perform routine assignments and leverage customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in your daily work.</li>\n<li>Utilize basic knowledge of programming, ETL and modeling methods to execute projects and assist the team through examples of good technical skills.</li>\n<li>Execute on low-complexity business challenges involving data science.</li>\n<li>Succeed in projects by utilizing a data science vision for project success, and accomplish successfully within prescribed timelines.</li>\n<li>Execute on routine projects with a sense of urgency.</li>\n<li>Contribute to development of presentations.</li>\n<li>Occasionally communicate complex technical material understandable to non-technical associates.</li>\n<li>Execute basic to intermediate model deployments via established MLOps techniques.</li>\n<li>Work with analytics and IT teams to deploy models/rules.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>1+ years of experience working in a Data environment</li>\n<li>Basic knowledge of data analysis, manipulation tools such as Python.</li>\n<li>Understanding on statistics in modeling side.</li>\n<li>Strong verbal communication and listening skills.</li>\n<li>Demonstrated written communication skills.</li>\n<li>Demonstrated time management and priority setting skills. with some guidance.</li>\n<li>Developing ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs with guidance.</li>\n<li>Able to adapt quickly to new technologies.</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Proficiency working on large-scale structured and unstructured multidimensional data using conceptual knowledge of open-source cloud-enabled analytical programming languages.</li>\n<li>Basic proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques.</li>\n<li>Conceptual knowledge of ML/AI model deployment best practices.</li>\n<li>Conceptual knowledge of coding standards and version control (Git).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package.</p>\n<ul>\n<li>A competitive salary and performance-based bonuses.</li>\n<li>Comprehensive benefits package.</li>\n<li>Flexible work arrangements (remote and/or office-based).</li>\n<li>You will also enjoy a dynamic and inclusive work culture within a globally renowned group.</li>\n<li>Private Health Insurance.</li>\n<li>Paid Time Off.</li>\n<li>Training &amp; Development opportunities in partnership with renowned companies.</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_aa84bec4-daf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/bv45QMsdbwLaQwGHc8tCA4/remote-fbs-associate-data-scientist-in-mexico-at-capgemini","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data analysis","Python","statistics","verbal communication","written communication","time management","data extraction","data manipulation","data design"],"x-skills-preferred":["large-scale data","predictive modeling","prescriptive modeling","ML/AI model deployment","coding standards","version control"],"datePosted":"2026-03-09T17:00:59.173Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data analysis, Python, statistics, verbal communication, written communication, time management, data extraction, data manipulation, data design, large-scale data, predictive modeling, prescriptive modeling, ML/AI model deployment, coding standards, version control"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a110b4b9-802"},"title":"Security Modeling - Associate","description":"<p><strong>About this role</strong></p>\n<p>We are seeking an Associate Quantitative Modeler to join the Securitized Products Modeling team within Aladdin Financial Engineering (AFE) - Single Security. The team is responsible for the development, enhancement, and governance of models and analytics across a broad range of securitized products, including Agency MBS, NonAgency RMBS, CRT, MSR, CMBS/CRE, ABS/ABF, and CLOs, delivered on the Aladdin platform to internal portfolio teams and external clients.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Develop, enhance, and maintain securitized products models using econometric and machine-learning/AI techniques.</li>\n<li>Collaborate with Data, Technology, Portfolio Management, Client, and Risk teams to ensure analytics meet business and client needs.</li>\n<li>Clearly communicate modeling frameworks, assumptions, and results to both technical and non-technical audiences; support client discussions by explaining complex analytics and modeling concepts in a clear, intuitive, and practical manner.</li>\n<li>Perform rigorous validation of model inputs and outputs across development, implementation, and production environments.</li>\n<li>Play a key role in model risk management, controls, and regulatory compliance; own model performance monitoring frameworks and engage with governance forums.</li>\n<li>Identify opportunities to automate, streamline, and scale analytical and reporting processes across the modeling platform, enhancing monitoring and reporting workflows through the creative design of tools and applications, including modern AI-enabled technologies.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>3-4 years of hands-on experience in quantitative model development and implementation.</li>\n<li>Strong quantitative background with a degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.</li>\n<li>Proficient programming skills in Python, R (or equivalent); C++ familiarity is a plus.</li>\n<li>Strong communication skills and ability to explain complex analytics clearly.</li>\n<li>Experience with large datasets, production-level analytics, or financial modeling platforms is a plus.</li>\n<li>Knowledge of securitized products is a plus but not required.</li>\n</ul>\n<p><strong>Our benefits</strong></p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p><strong>Our hybrid work model</strong></p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p>\n<p><strong>About BlackRock</strong></p>\n<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a110b4b9-802","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/dzUuaCMhjeC95Q6KURGec5/security-modeling---associate-in-london-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","R","C++","Machine learning","AI","Econometrics","Data analysis","Model development","Model risk management"],"x-skills-preferred":["Data science","Statistics","Mathematics","Computer science"],"datePosted":"2026-03-09T16:44:37.495Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Python, R, C++, Machine learning, AI, Econometrics, Data analysis, Model development, Model risk management, Data science, Statistics, Mathematics, Computer science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_66bbed6c-63e"},"title":"Conversion Rate Optimisation Lead (CRO Lead)","description":"<p><strong>Job Description</strong></p>\n<p>Future is a global leader in specialist media, with 250+ iconic brands reaching hundreds of millions worldwide. Our flagship brands are critical growth drivers.</p>\n<p><strong>What you&#39;ll be doing</strong></p>\n<p>As a Conversion Rate Optimisation Lead (CRO Lead), you will be a pivotal member of the Growth Squad, responsible for establishing, coordinating and scaling a best-in-class Growth CRO and experimentation program across the full funnel - from first click and landing pages through to checkout, onboarding and early-life engagement.</p>\n<p>This role is instrumental in improving CAC efficiency and LTV by driving higher conversion rates throughout the user journey and increasing test velocity across teams.</p>\n<p><strong>Experience that will put you ahead of the curve</strong></p>\n<ul>\n<li>Proven experience building and scaling full-funnel CRO and experimentation programs within high-growth digital businesses.</li>\n<li>Expertise in A/B testing platforms (Optimizely, VWO, AB Tasty, Adobe Target) and experimentation methodology.</li>\n<li>Strong foundation in statistics, test design and hypothesis-driven optimisation.</li>\n<li>Proficiency with analytics tools (GA, Adobe Analytics) and behavioural analytics (Hotjar, ContentSquare, Glassbox).</li>\n<li>Solid understanding of UX/UI principles and behavioural psychology as they drive conversion and user retention.</li>\n<li>Able to translate complex data into compelling commercial narratives.</li>\n<li>Experience influencing cross-functional stakeholders and driving alignment.</li>\n</ul>\n<p><strong>What&#39;s in it for you</strong></p>\n<p>The expected range for this role is £55,000 - £60,000. This is a Hybrid role from our Bath or London Office, working three days from the office, two from home.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Uncapped leave, because we trust you to manage your workload and time</li>\n<li>When we hit our targets, enjoy a share of our profits with a bonus</li>\n<li>Refer a friend and get rewarded when they join Future</li>\n<li>Well-being support with access to our Colleague Assistant Programmes</li>\n<li>Opportunity to purchase shares in Future, with our Share Incentive Plan</li>\n</ul>\n<p><strong>Who are we…</strong></p>\n<p>We&#39;re Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.</p>\n<p>We&#39;ve got ambitious plans that further build on our growth momentum and unlock new opportunities – and we&#39;re looking for driven people who want to be a part of it!</p>\n<p><strong>Our Future, Our Responsibility - Inclusion and Diversity at Future</strong></p>\n<p>We embrace and celebrate diversity, making it part of who we are.</p>\n<p>Different perspectives spark ideas, fuel creativity, and push us to innovate. That&#39;s why we&#39;re building a workplace where everyone feels valued, respected, and empowered to thrive.</p>\n<p>When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It&#39;s not just about what you bring to the table — it&#39;s about making sure the table has room for everyone.</p>\n<p>Because a diverse team isn&#39;t just good for business. It&#39;s the Future.</p>\n<p>Find out more about Our Future, Our Responsibility on our website.</p>\n<p>Please let us know if you need any reasonable adjustments made so we can give you the best experience!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_66bbed6c-63e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Future","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/200EE19F92","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£55,000 - £60,000","x-skills-required":["A/B testing platforms","Experimentation methodology","Statistics","Test design","Hypothesis-driven optimisation","Analytics tools","Behavioural analytics","UX/UI principles","Behavioural psychology"],"x-skills-preferred":["Data analysis","Commercial narrative creation","Cross-functional stakeholder management"],"datePosted":"2026-03-09T16:19:28.084Z","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Media","skills":"A/B testing platforms, Experimentation methodology, Statistics, Test design, Hypothesis-driven optimisation, Analytics tools, Behavioural analytics, UX/UI principles, Behavioural psychology, Data analysis, Commercial narrative creation, Cross-functional stakeholder management","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":55000,"maxValue":60000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07222a52-75c"},"title":"Data Analyst","description":"<p>We&#39;re looking for a Data Analyst to join our team, working in our Tower Bridge office three days a week. 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We&#39;re seeking a Manufacturing Engineer to join our team and help us build the world-class, state-of-the-art smart vehicles the world expects from us.</p>\n<p>In this key role, you will provide manufacturing engineering leadership throughout a new model development program – from initial concept through final assembly. This will involve the application of lean manufacturing principles to ensure the highest quality, most efficient processes and products possible.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Provide manufacturing engineering leadership throughout a new model development program, beginning at initial concept through launch at the final assembly facility.</li>\n<li>Develop tooling and facilities based on product and process.</li>\n<li>Apply lean manufacturing principles.</li>\n<li>Lead virtual manufacturing assembly builds.</li>\n<li>Drive resolution of manufacturing issues.</li>\n<li>Interface with Design and Release activities.</li>\n<li>Develop formal assembly process instructions and enter the process sheets into VPS system.</li>\n<li>Lead assembly tooling specification purchase, installation, start-up, and commissioning at the assembly site.</li>\n<li>Track all open tooling and process issues and drive to closure including meeting all exit criteria deliverables - cycle time, throughput, workstation readiness, etc.</li>\n<li>Prepare management presentations.</li>\n<li>Drive quality, cost and labor improvements.</li>\n<li>Support new model launches.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s degree in mechanical or an equivalent manufacturing engineering</li>\n<li>Willingness to travel and support launch activities at our North American Assembly plants (USA, Canada &amp; Mexico)</li>\n<li>Travel is required including co-location at a North American Assembly plant for 9 or more months depending on scale of vehicle launch.</li>\n<li>1 or more years of Microsoft Office experience to include Word, Outlook, Excel and PowerPoint</li>\n<li>Up to 40-50% travel required</li>\n</ul>\n<p>Even better, you may have:</p>\n<ul>\n<li>Solid background with virtual manufacturing tools</li>\n<li>Experience with tooling, process, quality, and or facility equipment in a production environment.</li>\n<li>Excellent communication and presentation skills</li>\n<li>Working knowledge of statistics (control charts, data collecting, etc.)</li>\n</ul>\n<p>You may not check every box, or your experience may look a little different from what we&#39;ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p>\n<p>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</p>\n<p>• Immediate medical, dental, vision and prescription drug coverage\n• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more\n• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more\n• Vehicle discount program for employees and family members and management leases\n• Tuition assistance\n• Established and active employee resource groups\n• Paid time off for individual and team community service\n• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day\n• Paid time off and the option to purchase additional vacation time.</p>\n<p>This position is a salary grade 5-8  and ranges from $63,480-162,120. Final determination of salary grade will be based on candidate&#39;s skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</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_75e2f65e-5f8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://efds.fa.em5.oraclecloud.com"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/59728","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$63,480-162,120","x-skills-required":["Manufacturing Engineering","Lean Manufacturing","Virtual Manufacturing","Microsoft Office","Statistics"],"x-skills-preferred":["Virtual Manufacturing Tools","Tooling, Process, Quality, and Facility Equipment","Communication and Presentation Skills"],"datePosted":"2026-03-09T11:01:34.716Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Manufacturing Engineering, Lean Manufacturing, Virtual Manufacturing, Microsoft Office, Statistics, Virtual Manufacturing Tools, Tooling, Process, Quality, and Facility Equipment, Communication and Presentation Skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":63480,"maxValue":162120,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_db281cdb-d14"},"title":"Principal Quality Engineer - Body & Chassis","description":"<p>As the Principal Quality Engineer - Body Structures &amp; Chassis, you will be responsible for Body Structures and Chassis Fault Analysis and Customer Evaluation activities across the entire vehicle life cycle. This will require you to manage all quality related activities as well as working across the technical quality and wider quality functions in a matrix arrangement to deliver the required business objectives.</p>\n<p>The core functions of the role are:</p>\n<ul>\n<li>Continuous development of the quality mindset in the business to evolve the ever-changing business requirements.</li>\n<li>Management and steering of quality concern countermeasures and lessons learned.</li>\n<li>Management of quality related topics through the advance phases including development vehicle shakedown and all mileage accumulation and early-stage problem identification.</li>\n<li>Management, negotiation and liaison of all budget and headcount requirements for project related change content, ensuring adequate project budget and Purchase Order (PO) coverage is in place.</li>\n</ul>\n<p>As part of the Technical Quality team, the Principal Quality Engineer - Body Structures &amp; Chassis is responsible for the management of all Body Structures &amp; Chassis related quality concerns (QCR&#39;s) across all new model and series programmes, acting as the &#39;voice of the customer&#39; including but not limited to; customer usage, problem validation, mileage accumulation, test/usage planning, budget analysis, fault identification, allocation and holding the function group to account.</p>\n<p>Responsibilities include:</p>\n<ul>\n<li>Responsible to drive the lessons learned to deliver improvement into Design Failure Mode &amp; Effect Analysis (DFMEA), Design for Manufacture (DFM) and part supply related concerns with the function group.</li>\n<li>Responsible to ensure a robust approach is taken to identify the root cause of issues, through to successful resolution, using the Practical Problem Solving (PPS) process.</li>\n<li>Responsible for attending Q-Technical Meetings for every programme in development, supporting Q-Programme team in QCR resolution, together with the QCR stakeholders.</li>\n<li>Responsible to manage and drive the vehicle quality attribute review, together with the Body Structures &amp; Chassis engineering teams, Supplier Quality Development (SQD) and manufacturing launch team(s).</li>\n<li>Accountable for the vehicle evaluation, short and long-term mileage test plan development, together with the Principal Vehicle Evaluation Engineer. Ensuring all identified issues are input into the respective fault management system and monitored through to closure.</li>\n<li>Accountable for the delivery of the Production Validation Unit (PVU) and Debug process together with the Principal Vehicle Evaluation Engineer.</li>\n<li>Responsible for project specific activity plans and reports that deliver the desired quality level at launch.</li>\n<li>Manage the continuous improvement processes for Body Structures &amp; Chassis quality related items.</li>\n</ul>\n<p>What You&#39;ll Bring:</p>\n<ul>\n<li>Degree qualified in Mechanical or Automotive Engineering, or equivalent industry experience.</li>\n<li>New product and series development experience in the Automotive Industry for a minimum of seven years.</li>\n<li>8D or Practical Problem Solving (PPS) - demonstratable experience of problem-solving techniques and the tools used.</li>\n<li>Experience in either Body Structures or Chassis development (preferably both) and/or quality related role.</li>\n<li>Experience in Design Failure Mode and Effect Analysis (DFMEA) process and understanding of potential risks associated with design of components.</li>\n<li>Launch of low volume vehicles into the production environment.</li>\n<li>Experience of driving cars within a development environment (desirable).</li>\n<li>Low volume, high value vehicle fleet management experience.</li>\n<li>Understanding of Statistical Process Control (SPC), statistics and process capabilities.</li>\n<li>People management experience would be advantageous, but not critical.</li>\n<li>Experience of working in a matrix environment.</li>\n<li>Methodical approach to work with strong analytical skills.</li>\n<li>Self-starter capable of using initiative.</li>\n</ul>\n<p>Personal Attributes:</p>\n<ul>\n<li>As one of our Principal Quality Engineers, you will naturally have an understanding and appreciation for low volume vehicle production and brand requirements.</li>\n<li>We work in a fast-paced environment, so the ability to act under pressure with calmness, clarity of thought, and decisive authority is crucial.</li>\n<li>From time to time, you will need to travel to off-site development facilities, within the UK and throughout Europe, therefore a flexible approach to travel and working hours is required.</li>\n<li>You will have the determination to drive forward the business to &#39;Best in Class&#39; performance standards in line with brand expectations and be a lateral thinker able to think outside of the box to make structured and objective decisions.</li>\n<li>Other traits of a successful McLaren employee will include excellent communication skills both written and verbal and excellent attention to detail</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_db281cdb-d14","directApply":true,"hiringOrganization":{"@type":"Organization","name":"McLaren Automotive","sameAs":"https://mclarencareers.mclaren.com","logo":"https://logos.yubhub.co/mclarencareers.mclaren.com.png"},"x-apply-url":"https://mclarencareers.mclaren.com/careers/JobDetail/Principal-Quality-Engineer-Body-Chassis/58994","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Mechanical or Automotive Engineering","New product and series development experience","8D or Practical Problem Solving (PPS)","Design Failure Mode and Effect Analysis (DFMEA)","Statistical Process Control (SPC)","Statistics and process capabilities"],"x-skills-preferred":["Driving cars within a development environment","Low volume, high value vehicle fleet management experience"],"datePosted":"2026-03-09T11:00:25.482Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Woking"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Mechanical or Automotive Engineering, New product and series development experience, 8D or Practical Problem Solving (PPS), Design Failure Mode and Effect Analysis (DFMEA), Statistical Process Control (SPC), Statistics and process capabilities, Driving cars within a development environment, Low volume, high value vehicle fleet management experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9e42a8e0-bdc"},"title":"Senior DVA Engineer","description":"<p><strong>Role Overview</strong></p>\n<p>As a Senior DVA Engineer at McLaren Automotive, you will play a critical role in ensuring the dimensional accuracy and quality of our vehicles. You will be responsible for applying 3D Dimensional Variation Analysis (DVA) tools to validate the effectiveness of our vehicle concepts and support the development of our complete dimensional control concept.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Ensure DVA work carried out meets project timing and is delivered in a robust manner</li>\n<li>Apply 3D Dimensional Variation Analysis (DVA) tools to prove out multiple concepts and ultimately validate the effectiveness of the optimal complete vehicle concept</li>\n<li>Support Engineering Releases (ER) sign off across all components for a new model and be a subject matter expert to support the business</li>\n<li>Support the definition of vehicle level gap and flush targets with Perceived Quality department</li>\n<li>Work cross-functionally to develop and define a complete dimensional control concept</li>\n<li>Be able to build a tolerance simulation model using 3DCS software to evaluate design concept capability</li>\n<li>Attend design reviews to drive the development of the overall vehicle concept to ensure previous lessons learned and concept issues are raised, thus finding optimal design solutions</li>\n<li>Raise all validated concerns into the McLaren faults management system</li>\n<li>Have a thorough understanding of the various component manufacturing processes with respect to best practice tooling philosophies</li>\n<li>Provide Input to manufacturing assembly sequence and assembly concept decision making process</li>\n<li>Be a GD&amp;T ‘Champion’ in the business and be the point of contact within the DVA team for GD&amp;T knowledge</li>\n<li>Govern FT&amp;A/GD&amp;T in released designs is in accordance with BS:8888 ISO:1101 and supports vehicle dimensional concept in context to downstream manufacturing processes</li>\n<li>Provide support in generating datum strategy concepts, (Using GD&amp;T), which sets overall engineering concept; which is required for assembly jigs, fixtures, and measurement plans</li>\n<li>Management of internal training guides and standards for 3DCS model creation</li>\n<li>Provide support to DVA engineers with best practices and innovative ways of solving problems</li>\n<li>Work with the DVA Lead Engineer to develop the team and create a larger presence in the business</li>\n<li>Support and drives new continuous improvement initiatives to improve and refine the analysis work carried out</li>\n</ul>\n<p><strong>What You&#39;ll Bring</strong></p>\n<ul>\n<li>Experience of relevant experience in DVA/GD&amp;T</li>\n<li>A degree in mechanical / automotive engineering or similar (2:1 or above) or equivalent experience in a similar role</li>\n<li>CATIA V5</li>\n<li>GD&amp;T And its application to the BS8888 standard</li>\n<li>8D or Practical Problem Solving (PPS)</li>\n<li>Methodical approach to work with strong analytical skills</li>\n<li>Self-starter capable of using initiative</li>\n<li>New product development experience in the Automotive Industry</li>\n<li>Experienced in 3DCS Tolerance analysis software, or similar</li>\n<li>The application of best practice location strategies for a range of components/assemblies, materials and manufacturing processes covering composites, polymer mouldings, pressed steel/aluminium sheet metal, castings, and laminates</li>\n<li>Good understanding of jig and fixture concepts</li>\n<li>Good problem-solving ability</li>\n<li>Good understanding of SPC, statistics and process capabilities</li>\n</ul>\n<p><strong>Personal Attributes</strong></p>\n<ul>\n<li>As a Senior DVA Engineer you will naturally have an aptitude to learn and develop your engineering skills, with regards to tolerance analysis and the impact of tolerance on the engineering and manufacturing processes</li>\n<li>You will have the drive to push the department forward and always strive for doing better through continuous improvement initiatives</li>\n<li>We work in a fast-paced environment so the ability to act under pressure with calmness, clarity of thought, and decisive authority is crucial</li>\n<li>You may be required to travel to off-site development facilities, within the UK and throughout Europe, therefore a flexible approach to travel is required</li>\n</ul>\n<p><strong>What We&#39;ll Do for You</strong></p>\n<p>We offer a wide-ranging benefits package, which includes:</p>\n<ul>\n<li>Structured career development framework</li>\n<li>25 days’ holiday, plus bank holiday. Annual buy &amp; sell up to five days</li>\n<li>Enhanced company pension scheme</li>\n<li>Discretionary annual bonus award</li>\n<li>Private medical insurance and health cash plan</li>\n<li>Life assurance benefit</li>\n<li>Ability to apply for a sabbatical of up to one year after only two years’ service</li>\n<li>Benefits you can adapt to your lifestyle, such as discounted shopping</li>\n<li>Generous parental leave policies</li>\n<li>A range of wellbeing initiatives, such as employee assistance programme and free financial &amp; mortgage advice</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_9e42a8e0-bdc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"McLaren Automotive","sameAs":"https://mclarencareers.mclaren.com","logo":"https://logos.yubhub.co/mclarencareers.mclaren.com.png"},"x-apply-url":"https://mclarencareers.mclaren.com/careers/JobDetail/Senior-DVA-Engineer/58980","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["3D Dimensional Variation Analysis (DVA)","CATIA V5","GD&T","8D or Practical Problem Solving (PPS)","3DCS Tolerance analysis software"],"x-skills-preferred":["New product development experience in the Automotive Industry","Application of best practice location strategies for a range of components/assemblies, materials and manufacturing processes","Good understanding of jig and fixture concepts","Good problem-solving ability","Good understanding of SPC, statistics and process capabilities"],"datePosted":"2026-03-09T10:59:25.184Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"3D Dimensional Variation Analysis (DVA), CATIA V5, GD&T, 8D or Practical Problem Solving (PPS), 3DCS Tolerance analysis software, New product development experience in the Automotive Industry, Application of best practice location strategies for a range of components/assemblies, materials and manufacturing processes, Good understanding of jig and fixture concepts, Good problem-solving ability, Good understanding of SPC, statistics and process capabilities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_055866ad-94b"},"title":"Data Scientist III","description":"<p><strong>Data Scientist III</strong></p>\n<p>We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.</p>\n<p><strong>We Are EA</strong></p>\n<p>Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.</p>\n<p><strong>Opportunity Ahead</strong></p>\n<p>Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.</li>\n<li>Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.</li>\n<li>Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.</li>\n<li>Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.</li>\n<li>Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs</li>\n<li>Partner with product, business, and engineering to identify new data acquisition opportunities.</li>\n<li>Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.</li>\n<li>Collaborate with data engineers and software engineer across teams to serve their data needs.</li>\n<li>Evangelise data as a first-class citizen through documentation, standards, and reviews.</li>\n</ul>\n<p><strong>Must Have Skills</strong></p>\n<ul>\n<li>Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)</li>\n<li>5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.</li>\n<li>Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.</li>\n<li>Strong understanding of experimentation design and A/B testing frameworks</li>\n<li>Expert proficiency in Python frameworks (PyTorch, Scikit-learn).</li>\n<li>Experience with model monitoring and drift detection</li>\n<li>Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).</li>\n<li>Strong communication skills with the ability to translate complex models into business impact.</li>\n</ul>\n<p><strong>Desirable Skills</strong></p>\n<ul>\n<li>Experience in gaming analytics or player behaviour modelling</li>\n<li>Experience building recommendation or ranking systems</li>\n<li>Experience with cloud platforms (AWS/GCP/Azure)</li>\n</ul>\n<p><strong>What’s in it for you? Glad you asked!</strong></p>\n<p>We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance &amp; Medical, Accident &amp; life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.</p>\n<p><strong>_About Electronic Arts_</strong></p>\n<p>We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</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_055866ad-94b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Data-Scientist-III/212228","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)","5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions","Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing","Strong understanding of experimentation design and A/B testing frameworks","Expert proficiency in Python frameworks (PyTorch, Scikit-learn)"],"x-skills-preferred":["Experience in gaming analytics or player behaviour modelling","Experience building recommendation or ranking systems","Experience with cloud platforms (AWS/GCP/Azure)"],"datePosted":"2026-03-09T10:59:22.657Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience), 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions, Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing, Strong understanding of experimentation design and A/B testing frameworks, Expert proficiency in Python frameworks (PyTorch, Scikit-learn), Experience in gaming analytics or player behaviour modelling, Experience building recommendation or ranking systems, Experience with cloud platforms (AWS/GCP/Azure)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cbafe9f0-ca5"},"title":"Merchant Intelligence Team Member","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a skilled Merchant Intelligence Team Member to join our team at Constructor. 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If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.</p>\n<p>In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources 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>Align datasets with ethical and societal values</li>\n</ul>\n<p>This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.</p>\n<p>Responsibilities</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 multimodal ingestion, preprocessing, filtering, and annotation.</li>\n<li>Analyze real-world multimodal 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>Embody our culture and values.</p>\n<p>Qualifications</p>\n<ul>\n<li>Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years 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<li>2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.</li>\n<li>Proficiency in statistics and exploratory data analysis methods.</li>\n<li>Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.</li>\n<li>Ability to communicate technical findings clearly to research and product teams.</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_5008b4f7-b62","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-data-research-engineer-mai-superintelligence-team-6/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["Python","Pandas","NumPy","Spark","Ray","Apache Beam","Data analysis","Data engineering","Statistics","Exploratory data analysis"],"x-skills-preferred":["Data processing frameworks","Lightweight tools and workflows","Dataset auditing","Visualization","Versioning"],"datePosted":"2026-03-08T22:21:20.883Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pandas, NumPy, Spark, Ray, Apache Beam, Data analysis, Data engineering, Statistics, Exploratory data analysis, Data processing frameworks, Lightweight tools and workflows, Dataset auditing, Visualization, Versioning","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_9ee6a205-e17"},"title":"Member of Technical Staff - Pretraining Text Data","description":"<p>We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.</p>\n<p>In this role, you’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>This is a cross-disciplinary, high-impact role ideal for engineers and researchers who want to push the boundaries of what AI can learn from data.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.</p>\n<p>Responsibilities</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>Embody our culture and values.</p>\n<p>Qualifications</p>\n<ul>\n<li>Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years 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<li>2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.</li>\n<li>Proficiency in statistics and exploratory data analysis methods.</li>\n<li>Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.</li>\n<li>Ability to communicate technical findings clearly to research and product teams.</li>\n</ul>\n<p>Software Engineering IC4</p>\n<ul>\n<li>The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.</li>\n</ul>\n<p>Software Engineering IC5</p>\n<ul>\n<li>The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</li>\n</ul>\n<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</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_9ee6a205-e17","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-pretraining-text-data-3/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["Python","Pandas","NumPy","Spark","Ray","Apache Beam","Data Science","Statistics","Physics","Engineering"],"x-skills-preferred":["Data Analysis","Data Engineering","Exploratory Data Analysis"],"datePosted":"2026-03-08T22:20:10.382Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pandas, NumPy, Spark, Ray, Apache Beam, Data Science, Statistics, Physics, Engineering, Data Analysis, Data Engineering, Exploratory Data Analysis","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_b5258a48-495"},"title":"Senior Data and Applied Scientist","description":"<p>Imagine shaping the future of local search for millions of users worldwide. At Bing Places, you&#39;ll join a team that powers business entity relevance on the search results page. You&#39;ll work on cutting-edge tools and metrics that ensure users find the most accurate and meaningful local results. Our team thrives on innovation, leveraging large and small language models, and advanced measurement systems to deliver exceptional quality.</p>\n<p>As a Data Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You&#39;ll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Generation, and create scalable workflows for measurement and evaluation.</p>\n<p>This opportunity will allow you to:</p>\n<ul>\n<li>Accelerate your career growth by working on state-of-the-art AI systems.</li>\n<li>Develop deep expertise in prompt engineering and model tuning.</li>\n<li>Hone your skills in building robust data pipelines and quality frameworks.</li>\n</ul>\n<p>Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement new relevance metrics to measure and improve local search quality.</li>\n<li>Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.</li>\n<li>Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.</li>\n<li>Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.</li>\n<li>Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.</li>\n<li>Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.</li>\n<li>Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND relevant data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li>\n<li>Relevant years customer-facing, project-delivery experience, professional services, and/or consulting experience.</li>\n</ul>\n<p>Other Requirements:</p>\n<ul>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: 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_b5258a48-495","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-data-and-applied-scientist/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Science","Mathematics","Statistics","Econometrics","Economics","Operations Research","Computer Science","LLM/SLM labeling pipelines","Prompt engineering","Model tuning","Data pipelines","Quality frameworks"],"x-skills-preferred":[],"datePosted":"2026-03-08T22:19:32.251Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, LLM/SLM labeling pipelines, Prompt engineering, Model tuning, Data pipelines, Quality frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_87533f45-d48"},"title":"Data Scientist","description":"<p>The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences, and then translates the insights into actionable metrics. These metrics provide direction to the Bing and MAI organisation and help engineers make the right ship decisions for their thousands of online controlled experiments.</p>\n<p>Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data-driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org.</p>\n<p>As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments.</p>\n<p>Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. 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.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, analyse, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions.</li>\n<li>Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.</li>\n<li>Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention.</li>\n<li>Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions.</li>\n<li>Effectively communicate analytical methodologies, data visualisations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li>\n</ul>\n<p>Experience with SQL-like query languages. Hands on experience in design &amp; problem-solving skills with one or more programming languages, such as Python, Java, C# or C++. Ability to work independently, influence others, and solid communication and collaboration skills. Familiarity with search engines, dealing with online instrumentation. Experience with large datasets and interest in consumer online search behaviours. Experience with building machine learning models on large scale data.</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_87533f45-d48","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/data-scientist/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$100,600 – $199,000 per year","x-skills-required":["Data Science","Mathematics","Statistics","Econometrics","Economics","Operations Research","Computer Science","SQL-like query languages","Python","Java","C#","C++","Search engines","Online instrumentation","Large datasets","Machine learning models"],"x-skills-preferred":["Data Science","Mathematics","Statistics","Econometrics","Economics","Operations Research","Computer Science","SQL-like query languages","Python","Java","C#","C++","Search engines","Online instrumentation","Large datasets","Machine learning models"],"datePosted":"2026-03-08T22:19:25.553Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, SQL-like query languages, Python, Java, C#, C++, Search engines, Online instrumentation, Large datasets, Machine learning models, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, SQL-like query languages, Python, Java, C#, C++, Search engines, Online instrumentation, Large datasets, Machine learning models","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_4bd6468f-bc0"},"title":"Senior Applied Scientist","description":"<p>We&#39;re building the next-generation Grounding Service that powers the latest AI applications—chat assistants, copilots, and autonomous agents—with factual, cited, and trustworthy responses. Our platform stitches together retrieval, reasoning, and real-time data so that large language models stay anchored to enterprise knowledge, the public web, and proprietary tools.</p>\n<p>We&#39;re looking for a Senior Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You&#39;ll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities.</p>\n<p>As a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety.</p>\n<p>Responsibilities\n Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact.\n Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images.\n Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust.\n Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs.\n Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web.\n Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems.\n Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology.\n Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property.\n Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs.\n Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively.\n Identifies and solves significant business problems using novel, scalable, and data-driven solutions.\n Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work.\n Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review.\n Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols.\n Communicates clearly through design documentation, progress updates, and presentations to executives and customers.\n Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.</p>\n<p>Qualifications\n Required Qualifications:\n  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)\n  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)\n  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)\n  OR equivalent experience.\n  Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems.\n  Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.\n  Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.\n  Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.\n Preferred Qualifications:\n  Master’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)\n  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)\n  OR equivalent experience.\n  Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL.\n  Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL).\n  Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.</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_4bd6468f-bc0","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-applied-scientist-38/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Search","Retrieval","Ranking","Machine Learning","Information Retrieval","Large Language Models","Pretraining","Supervised Fine-Tuning","Reinforcement Learning"],"x-skills-preferred":["Information Retrieval","Large Language Models","Pretraining","Supervised Fine-Tuning","Reinforcement Learning"],"datePosted":"2026-03-08T22:18:58.169Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Suzhou"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Search, Retrieval, Ranking, Machine Learning, Information Retrieval, Large Language Models, Pretraining, Supervised Fine-Tuning, Reinforcement Learning, Information Retrieval, Large Language Models, Pretraining, Supervised Fine-Tuning, Reinforcement Learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_400e4e70-14a"},"title":"Member of Technical Staff, Senior Applied AI Engineer","description":"<p>We&#39;re hiring a Senior Applied AI Engineer to join a fast-moving, high-ownership team building next-generation AI assistant and productivity capabilities. This role blends LLM product engineering, evaluation science, hillclimbing, and internal tool building with the pace and creativity of a startup.</p>\n<p>You&#39;ll work across the entire lifecycle of features from early prototypes to production-grade systems and help define how millions of users interact with AI.</p>\n<p><strong>Responsibilities</strong></p>\n<p>LLM Feature &amp; Agent Development</p>\n<p>Design and ship LLM-powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.</p>\n<p>Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.</p>\n<p>Prototype new capabilities rapidly and iterate based on user signals and evaluation data.</p>\n<p>Evaluation, Hillclimbing &amp; Quality Systems</p>\n<p>Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.</p>\n<p>Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance.</p>\n<p>Analyse failure modes, design mitigations, and drive systematic improvements across the stack.</p>\n<p>LLM Tooling &amp; 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We are seeking passionate scientists and engineers to join this world-class team, solve challenging problems, and deliver products that provide value to hundreds of millions of users and advertisers, driving direct, measurable impact on our global business.</p>\n<p>Responsibilities:</p>\n<p>Pioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.</p>\n<p>Optimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.</p>\n<p>Lead the data collection, model training, evaluation, and deployment of advanced image processing and generation algorithms.</p>\n<p>Analyse system performance and identify opportunities based on data analysis and online experiments.</p>\n<p>Collaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.</p>\n<p>Qualifications:</p>\n<p>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.</p>\n<p>4+ years of industry experience with a focus on computer vision, image/video generation and editing.</p>\n<p>Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g. diffusion/AR models and distillation, VAEs etc.).</p>\n<p>Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.</p>\n<p>Proactive communication skills, with the ability to collaborate effectively across algo, product, and engineer teams.</p>\n<p>Preferred Qualifications:</p>\n<p>Master’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 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.</p>\n<p>5+ years of industry experience with a focus on computer vision, image/video generation and editing.</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_cd8c3fa1-00e","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-applied-scientist-30/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AIGC","LLM","computer vision","image/video generation and editing","statistics","predictive analytics","research","data collection","model training","evaluation","deployment","advanced image processing and generation algorithms","data analysis","online experiments","cross-functional teams"],"x-skills-preferred":["diffusion/AR models and distillation","VAEs","SOTA technologies and frameworks","high-performance, large-volume systems","massive datasets","high throughput"],"datePosted":"2026-03-08T22:17:08.394Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AIGC, LLM, computer vision, image/video generation and editing, statistics, predictive analytics, research, data collection, model training, evaluation, deployment, advanced image processing and generation algorithms, data analysis, online experiments, cross-functional teams, diffusion/AR models and distillation, VAEs, SOTA technologies and frameworks, high-performance, large-volume systems, massive datasets, high throughput"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d0214534-b6a"},"title":"Senior Applied Scientist","description":"<p>We&#39;re building the next-generation Grounding Service that powers the latest AI applications—chat assistants, copilots, and autonomous agents—with factual, cited, and trustworthy responses. Our platform stitches together retrieval, reasoning, and real-time data so that large language models stay anchored to enterprise knowledge, the public web, and proprietary tools. We&#39;re looking for a Senior Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You&#39;ll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities. As a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety. Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities</p>\n<p>Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images. Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs. Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems. Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property. Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively. Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work. Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols. Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.</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_d0214534-b6a","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-applied-scientist-37/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Machine Learning","Information Retrieval","Large Language Model Development","Pretraining","Supervised Fine-Tuning","Reinforcement Learning","Optimizing LLM Inference"],"x-skills-preferred":["Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field","6+ years related experience (e.g., statistics, predictive analytics, research)","Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL","Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL)","Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects"],"datePosted":"2026-03-08T22:16:41.766Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Machine Learning, Information Retrieval, Large Language Model Development, Pretraining, Supervised Fine-Tuning, Reinforcement Learning, Optimizing LLM Inference, Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 6+ years related experience (e.g., statistics, predictive analytics, research), Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL, Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL), Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_714d4a02-1c4"},"title":"Applied Scientist","description":"<p>Imagine shaping the future of local search for millions of users worldwide. At Bing Places, you&#39;ll join a team that powers business entity relevance on the search results page. You&#39;ll work on cutting-edge tools and metrics that ensure users find the most accurate and meaningful local results. Our team thrives on innovation, leveraging large and small language models, and advanced measurement systems to deliver exceptional quality.</p>\n<p>As a Applied Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. 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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. 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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><strong>About the team</strong></p>\n<p>OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.</p>\n<p><strong>About the role</strong></p>\n<p>We’re looking for an <strong>Advertising Marketing Science</strong> leader to establish and scale OpenAI’s advertiser-facing reporting, measurement, and attribution credibility. You’ll combine deep measurement expertise with strong judgment and cross-functional leadership to define how advertisers understand performance on OpenAI and how our reporting aligns with their existing measurement frameworks (MTA, incrementality/lift testing, MMM/geo experimentation).</p>\n<p>This role will start as a hands-on individual contributor responsible for building the methodological foundations of OpenAI’s advertising measurement system. Over time, you will define the strategy, operating model, and team needed to scale this function globally as advertiser adoption grows.</p>\n<p>This role is ideal for someone who enjoys building new capabilities from first principles, can translate complex causal measurement approaches into trusted industry narratives, and is energized by partnering across Product, Engineering, Sales, Partnerships and Legal to build a privacy-first measurement ecosystem.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li><strong>Define OpenAI’s advertiser measurement strategy</strong>, establishing how our reporting aligns with attribution (MTA), incrementality/lift testing, MMM, geo experimentation, and partner measurement frameworks.</li>\n</ul>\n<ul>\n<li><strong>Build the foundation of OpenAI’s Marketing Science function</strong>, initially leading work as an individual contributor while designing the long-term team structure, operating model, and measurement programs.</li>\n</ul>\n<ul>\n<li><strong>Lead advertiser-facing measurement discussions</strong>, representing OpenAI in executive briefings, measurement escalations, and industry conversations while building trust in our methodologies and reporting.</li>\n</ul>\n<ul>\n<li><strong>Develop clear advertiser narratives</strong> that translate causal inference, attribution models, and statistical methodologies into understandable guidance for campaign optimization and investment decisions.</li>\n</ul>\n<ul>\n<li><strong>Design and govern OpenAI’s advertising measurement program</strong>, including standardized experiment patterns (A/B, geo, quasi-experimental), power calculators, diagnostics, and experiment-quality guardrails.</li>\n</ul>\n<ul>\n<li><strong>Build scalable measurement frameworks</strong> that reconcile results across MMM, MTA, and lift testing, helping advertisers triangulate OpenAI performance within their broader marketing measurement systems.</li>\n</ul>\n<ul>\n<li><strong>Establish privacy-centric measurement approaches as needed</strong>, including aggregated measurement, and conversion modeling in partnership with Legal and Privacy teams.</li>\n</ul>\n<ul>\n<li><strong>Translate measurement strategy into product capabilities</strong>, partnering with Product and Engineering to operationalize methodologies into durable measurement tools and reporting infrastructure.</li>\n</ul>\n<ul>\n<li><strong>Shape OpenAI’s external measurement ecosystem</strong>, working with third-party measurement partners, clean-room providers, and industry groups to align standards and reduce friction for advertisers.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have <strong>deep expertise in advertising measurement</strong> including experimentation, incrementality testing, attribution modeling, and econometric approaches such as MMM.</li>\n</ul>\n<ul>\n<li>Have <strong>experience designing and scaling lift or incrementality programs</strong>, including governance, experimentation frameworks, and statistical quality standards.</li>\n</ul>\n<ul>\n<li>Are comfortable acting as a <strong>senior external measurement authority</strong>, confidently leading advertiser conversations, navigating discrepancies, and building trust with sophisticated marketing organizations.</li>\n</ul>\n<ul>\n<li>Can <strong>translate complex statistical concepts into practical decision frameworks</strong> for both technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Can <strong>build functions from the ground up</strong>, setting strategy while also executing hands-on during early stages of team development.</li>\n</ul>\n<ul>\n<li>Have successfully partnered with <strong>Product and Engineering teams to translate measurement science into scalable product capabilities</strong>.</li>\n</ul>\n<ul>\n<li>Have experience working with <strong>third-party measurement providers or industry standards organizations</strong>.</li>\n</ul>\n<ul>\n<li>Thrive in <strong>fast-paced, high-ambiguity environments</strong> and are comfortable leading cross-company initiatives without direct authority.</li>\n</ul>\n<ul>\n<li>Care deeply about building <strong>trusted, privacy-forward measurement systems</strong> that enable long-term advertiser confidence.</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 encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirm</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_c29dbc40-9e1","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/5547d275-f123-46e1-8695-71fd79a05724","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$284K – $415K","x-skills-required":["Advertising measurement","Experimentation","Incrementality testing","Attribution modeling","Econometric approaches","Statistical quality standards","Measurement frameworks","Data analysis","Data visualization","Communication skills","Leadership skills","Collaboration skills"],"x-skills-preferred":["Data science","Machine learning","Statistics","Mathematics","Computer programming","Data engineering","Cloud computing","Big data","Data governance","Data security"],"datePosted":"2026-03-08T22:14:24.485Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Advertising measurement, Experimentation, Incrementality testing, Attribution modeling, Econometric approaches, Statistical quality standards, Measurement frameworks, Data analysis, Data visualization, Communication skills, Leadership skills, Collaboration skills, Data science, Machine learning, Statistics, Mathematics, Computer programming, Data engineering, Cloud computing, Big data, Data governance, Data security","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":284000,"maxValue":415000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ddff1eba-17b"},"title":"Member of Technical Staff - Pretraining Text Data","description":"<p>We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. 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Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.</p>\n<p>Responsibilities</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>Qualifications</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<li>2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.</li>\n<li>Proficiency in statistics and exploratory data analysis methods.</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_ddff1eba-17b","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-member-of-technical-staff-pretraining-text-data-2/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Pandas","NumPy","data analysis","data engineering","statistics","exploratory data analysis"],"x-skills-preferred":["AI","Computer Science","Data Science","Statistics","Physics","Engineering"],"datePosted":"2026-03-08T22:12:15.833Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zürich"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Pandas, NumPy, data analysis, data engineering, statistics, exploratory data analysis, AI, Computer Science, Data Science, Statistics, Physics, Engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_65fe2e6f-bd5"},"title":"Member of Technical Staff - Pretraining Text Data","description":"<p>We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. 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We are looking for a Senior Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.</p>\n<p>As a Senior Analytical Lead (AL), you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform.</p>\n<p>Your position will also involve Partner Enablement Program Management, by managing consultants who are producing foundational insights. This opportunity will allow you to combine your deep understanding of the business landscape, sophisticated and innovative analytical techniques and keen visualizations into a compelling data narrative that influences decision-makers.</p>\n<p>You will leverage your exceptional analytical, problem-solving and partner management skills to bring deep insights to our clients. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.</li>\n<li>Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients.</li>\n<li>Data Analysis: You will execute complex analyses to resolve analytical challenges, interpret results within a client context and drive forward opportunities with actionable recommendations and be adept at connecting insights with the unique capabilities of Microsoft Advertising products to address client needs.</li>\n<li>Small Medium Business Insights Enablement: Work directly with Delivery Partners &amp; Advocates to share Scaled Insights deliverables at scale to our SMBs. 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solutions that were instrumental to success in similar contexts and consults across industry verticals and client teams on decisions related to analyses and their interpretation.</li>\n<li>Security: You will maintain expertise in data privacy and governance rules and regulations, know where to seek expertise on such rules and regulations and share personal knowledge of them with peers as needed and identify and address the impact of updated guidance on work activities and results and ensure work activities and results are delivered in alignment with principles and controls.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.</li>\n<li>6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.</li>\n<li>5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineering OR equivalent experience.</li>\n<li>Dynamic and creative critical thinking skills, with an ability to think outside of the box.</li>\n<li>Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.</li>\n<li>Experience managing vendors or consultants who produce insights and sharing at scale.</li>\n<li>Experience in ad domain experience , scaling projects and data management.</li>\n<li>Experience project managing a calendar for four consultants for over 100+ of insights every six months.</li>\n<li>Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.</li>\n<li>Comfort and enjoyment with working in ambiguous environments.</li>\n<li>Solid communication skills to work with partners in various areas of Microsoft Advertising.</li>\n<li>Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.</li>\n<li>Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.</li>\n<li>Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization.</li>\n<li>Working knowledge of statistics, predictive modeling and data clustering/classification techniques.</li>\n<li>Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.</li>\n<li>Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.</li>\n<li>Ability to travel 25% – 35% (air travel may be required), as appropriate.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>8+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.</li>\n<li>8+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.</li>\n<li>6+ years in a partner or account management/client service/client-facing role.</li>\n<li>6+ years in a data analysis role</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_a2444234-e5d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the role:</strong></p>\n<p>The Consumer team at Anthropic builds AI that millions of people use every day to think better, create more, and accomplish what matters to them.</p>\n<p>We&#39;re looking for a former consumer founder who deeply understands what makes experiences intuitive and indispensable, spikes on 0 to 1 product development, ships products that people love to tell their friends about, and is eager to dive into everything to bring their vision to life. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:** We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</strong></p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation time, and a culture that values work-life balance.</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_647765f5-6ed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5127559008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$385,000 - $460,000 USD","x-skills-required":["Product Management","AI Research","Machine Learning","Software Development","Data Analysis","Communication Skills"],"x-skills-preferred":["Cloud Computing","DevOps","Data Science","Statistics","Research Methodology"],"datePosted":"2026-03-08T13:46:13.032Z","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 Research, Machine Learning, Software Development, Data Analysis, Communication Skills, Cloud Computing, DevOps, Data Science, Statistics, Research Methodology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":385000,"maxValue":460000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_15844407-729"},"title":"Product Support Specialist","description":"<p><strong>About the role:</strong></p>\n<p>We are hiring our first Tokyo-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. 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Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.</p>\n<p>This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English.</p>\n<p>_Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday._</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Become an expert in all Anthropic products</li>\n<li>Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses</li>\n<li>Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace</li>\n<li>Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries.</li>\n<li>Prioritize critically and comfortably adapt to an ever-evolving product landscape</li>\n<li>Operate in ambiguity, making informed decisions even in never-before-seen situations</li>\n<li>Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale</li>\n<li>Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates</li>\n<li>Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team.</li>\n<li>Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease</li>\n<li>Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)</li>\n<li>Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution</li>\n<li>Have crisp but kind written communication skills and a deep care for the details</li>\n<li>Enjoy helping others learn about new features and complex concepts</li>\n<li>Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward</li>\n<li>Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC.</li>\n<li>Are proficient at working in a technical environment and are interested in Anthropic’s products</li>\n<li>Possess a deep sense of ownership, and are excited to help us build our team!</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals</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_15844407-729","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5138042008","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Japanese","English","APIs","Technical SaaS products","Technical documentation","User support","Customer service","Communication","Problem-solving","Analytical skills","Attention to detail","Time management","Prioritization","Adaptability","Ambiguity tolerance","Teamwork","Collaboration","Leadership","Ownership","Initiative"],"x-skills-preferred":["Machine learning","Artificial intelligence","Data analysis","Statistics","Programming languages","Software development","Cloud computing","Cybersecurity","Networking","Database management"],"datePosted":"2026-03-08T13:44:45.769Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Japanese, English, APIs, Technical SaaS products, Technical documentation, User support, Customer service, Communication, Problem-solving, Analytical skills, Attention to detail, Time management, Prioritization, Adaptability, Ambiguity tolerance, Teamwork, Collaboration, Leadership, Ownership, Initiative, Machine learning, Artificial intelligence, Data analysis, Statistics, Programming languages, Software development, Cloud computing, Cybersecurity, Networking, Database management"},{"@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. 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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; 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Our researchers work across a wide range of domains including multimodal learning, reasoning, robotics, alignment, and large-scale foundation models, collaborating closely with engineering and product teams to translate research breakthroughs into real-world impact.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Scientist at OpenAI, you will develop novel machine learning methods and contribute to advancing the research agenda of the team you join. You will work on discovering simple, scalable, and generalizable ideas that improve model capabilities and help shape a unified long-term research vision across the organization.</p>\n<p>We’re looking for people who are excited to pursue ambitious research problems, operate independently, and collaborate deeply with interdisciplinary teams to bring cutting-edge ideas from concept to impactful systems.</p>\n<p>This role is based in San Francisco, CA. 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>In this role, you will:</strong></p>\n<ul>\n<li>Conduct original research to advance the state of the art in machine learning and artificial intelligence.</li>\n<li>Design, implement, and evaluate novel algorithms, models, or training approaches at large scale.</li>\n<li>Collaborate with researchers and engineers to translate research insights into production systems and real-world applications.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are pursuing or have recently completed a PhD in Machine Learning, Computer Science, Robotics, or a related technical field.</li>\n<li>Have demonstrated research impact through first-author publications, open-source projects, or significant technical contributions.</li>\n<li>Can independently define and execute on a research agenda, identifying impactful problems and driving long-term projects forward.</li>\n<li>Are motivated by OpenAI’s mission and excited to work on research that contributes toward beneficial AGI.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Interest in the societal impacts and responsible deployment of AI systems.</li>\n<li>Experience building high-performance or large-scale implementations of deep learning systems.</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. 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One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great in the Codex.</p>\n<p><strong>About the Role</strong></p>\n<p>As the product manager on Codex, you will lead the development of a highly technical product designed for a technical audience. Much of the work is 0–1, requiring you to shape product direction amid ambiguity and shape what the future of agents will look like. You’ll partner closely with world-class engineers and researchers to bring cutting-edge capabilities into the hands of developers, and you’ll shape how our AI tools support software development workflows.</p>\n<p>This role is based in San Francisco, CA. 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time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</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. 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We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company.</p>\n<p>You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.</p>\n<p>This role is based in San Francisco, CA. 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You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.</li>\n</ul>\n<ul>\n<li>Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making.</li>\n</ul>\n<ul>\n<li>Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions.</li>\n</ul>\n<ul>\n<li>Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.</li>\n</ul>\n<ul>\n<li>Research and evaluate emerging tools and techniques in the forecasting space.</li>\n</ul>\n<ul>\n<li>Translate technical outputs into business-aligned recommendations and decision frameworks.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Extensive experience building production-ready models for time series applications.</li>\n</ul>\n<ul>\n<li>Proven track record of building adjustable and explainable forecast models for multiple planning cycles.</li>\n</ul>\n<ul>\n<li>10+ years of applied data science &amp; engineering experience, with deep hands-on expertise in forecasting and predictive modeling.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.</li>\n</ul>\n<ul>\n<li>Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders.</li>\n</ul>\n<ul>\n<li>Team leadership experience with a track record of building high-performing, engaged teams.</li>\n</ul>\n<ul>\n<li>An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).</li>\n</ul>\n<ul>\n<li>A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1.</li>\n</ul>\n<ul>\n<li>The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes</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_ba088e44-4e9","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/154756ce-294f-49d6-a362-80ff96c01a3f","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$440K – $490K","x-skills-required":["Time series forecasting","Predictive modeling","Machine learning","Data science","Statistics","Computer science","Economics","Operations research","Team leadership","Communication","Storytelling"],"x-skills-preferred":["Cloud computing","Big data","Data engineering","DevOps","Agile development","Scrum","Kanban"],"datePosted":"2026-03-06T18:30:15.903Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Time series forecasting, Predictive modeling, Machine learning, Data science, Statistics, Computer science, Economics, Operations research, Team leadership, Communication, Storytelling, Cloud computing, Big data, Data engineering, DevOps, Agile development, Scrum, Kanban","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":440000,"maxValue":490000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_87019bdb-3d4"},"title":"Data Scientist, API","description":"<p><strong>Data Scientist, API</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>$293K – $515K • 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<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 mission is to ensure AGI benefits all of humanity. The API organization is one of the highest-leverage ways we do that: we put frontier intelligence in the hands of builders who turn it into products, businesses, and services that reach people everywhere.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Data Scientist on the API team, you’ll build the measurement systems that make our platform legible and improveable. You’ll define the metrics that matter, identify and quantify developer friction, evaluate launches and platform changes, and translate data into product decisions that improve reliability and developer outcomes at scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the core KPI framework for the API platform, spanning developer adoption, engagement, retention, and platform health.</li>\n</ul>\n<ul>\n<li>Build end-to-end funnels that identify where developers succeed or get stuck—from first integration through scaling to production.</li>\n</ul>\n<ul>\n<li>Define and operationalize platform guardrails (e.g., reliability, latency, error rates, cost/efficiency) and connect them to user outcomes.</li>\n</ul>\n<ul>\n<li>Design and evaluate experiments and rollouts to quantify the impact of platform and product changes.</li>\n</ul>\n<ul>\n<li>Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.</li>\n</ul>\n<ul>\n<li>Translate complex analysis into clear, actionable insights for leadership and cross-functional stakeholders.</li>\n</ul>\n<ul>\n<li>Develop and socialize dashboards, tools, and self-serve data products that help teams answer product questions quickly.</li>\n</ul>\n<ul>\n<li>Help establish data science standards and best practices for measuring AI platform performance and developer success.</li>\n</ul>\n<ul>\n<li>Partner with other data scientists across the company to share learnings and raise the bar on measurement and decision-making.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years of experience in data science roles within product or technology organizations (platform or developer-facing experience is a plus).</li>\n</ul>\n<ul>\n<li>Expertise in statistics and causal inference, applied in both experimentation and observational studies.</li>\n</ul>\n<ul>\n<li>Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation.</li>\n</ul>\n<ul>\n<li>Proven experience designing and interpreting experiments and making statistically sound recommendations.</li>\n</ul>\n<ul>\n<li>Experience building datasets, metrics, and data pipelines that power production decision-making.</li>\n</ul>\n<ul>\n<li>Experience developing and extracting insights from business intelligence tools (e.g., Tableau) and building self-serve solutions.</li>\n</ul>\n<ul>\n<li>Strong product sense and an impact-driven mindset: you turn ambiguity into crisp frameworks that drive roadmap decisions.</li>\n</ul>\n<ul>\n<li>Ability to build relationships with diverse stakeholders and cultivate strong partnerships across Product, Engineering, Research, and GTM teams.</li>\n</ul>\n<ul>\n<li>Strong communication skills, including the ability to bridge technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Are consistently among the first to adopt the latest AI tools, you use them daily to increase your own throughput, and you proactively turn them into</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_87019bdb-3d4","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/ecb73272-091d-4aa7-9e9b-07a29634cb4c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $515K • Offers Equity","x-skills-required":["statistics","causal inference","SQL","Python","experimentation","data pipelines","business intelligence tools","self-serve solutions","product sense","impact-driven mindset","communication skills","relationship 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decision-making","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":515000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3ce239f9-855"},"title":"Data Scientist, Marketing Innovation","description":"<p><strong>Data Scientist, 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>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $325K • 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><strong>About the Role</strong></strong></p>\n<p>We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.</p>\n<p>We build product-like systems that:</p>\n<ul>\n<li>Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences</li>\n</ul>\n<ul>\n<li>Adapt messaging, creative, and outreach using real-time behavioral signals</li>\n</ul>\n<ul>\n<li>Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop</li>\n</ul>\n<p>In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.</p>\n<p><strong><strong>What You’ll Do</strong></strong></p>\n<ul>\n<li>Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.</li>\n</ul>\n<ul>\n<li>Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.</li>\n</ul>\n<ul>\n<li>Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.</li>\n</ul>\n<ul>\n<li>Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.</li>\n</ul>\n<ul>\n<li>Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.</li>\n</ul>\n<p><strong><strong>What We’re Looking For</strong></strong></p>\n<ul>\n<li>10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.</li>\n</ul>\n<ul>\n<li>Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.</li>\n</ul>\n<ul>\n<li>Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.</li>\n</ul>\n<ul>\n<li>Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).</li>\n</ul>\n<ul>\n<li>Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.</li>\n</ul>\n<ul>\n<li>Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.</li>\n</ul>\n<p><strong><strong>Nice to Have</strong></strong></p>\n<ul>\n<li>Familiarity with large language models and AI-assisted operations platforms</li>\n</ul>\n<ul>\n<li>Experience working on operational automation and decision systems (routing, prioritization, optimization)</li>\n</ul>\n<ul>\n<li>Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.</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 encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_3ce239f9-855","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/7f299784-2c75-4d73-99e5-1e5043ec7b48","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $325K • Offers Equity","x-skills-required":["Data Science","Decision Science","SQL","Python","Experimentation","Causal Inference","Applied Statistics","Product-Led Company","B2B Growth","SMB","Self-Serve Motions"],"x-skills-preferred":["Large Language Models","AI-Assisted Operations Platforms","Operational Automation","Decision Systems","Routing","Prioritization","Optimization"],"datePosted":"2026-03-06T18:28:43.292Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Decision Science, SQL, Python, Experimentation, Causal Inference, Applied Statistics, Product-Led Company, B2B Growth, SMB, Self-Serve Motions, Large Language Models, AI-Assisted Operations Platforms, Operational Automation, Decision Systems, Routing, Prioritization, Optimization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6531d2dd-c1d"},"title":"Data Science Manager, Integrity","description":"<p><strong>Data Science Manager, Integrity</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>$255K – $490K • 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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)</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><strong>About the Team</strong></p>\n<p>Integrity Data Science sits at the centre of OpenAI’s mission to deploy powerful AI responsibly. We help ensure people can trust our products by building measurement systems, experimentation practices, and detection/mitigation strategies that protect OpenAI and our users from misuse, fraud, and evolving adversarial behaviours.</p>\n<p>As the scope and urgency of Integrity work expands across product surfaces and go-to-market motion, we’re hiring a dedicated Data Science Manager to scale the team, strengthen execution across multiple Integrity domains, and deepen partnership with Product, Engineering, Operations, and adjacent orgs (e.g., Growth, Ads).</p>\n<p>This role is based in our San Francisco HQ (in-office).</p>\n<p><strong>About the Role</strong></p>\n<p>As Data Science Manager, Integrity, you will lead a team of data scientists working across trust &amp; safety, fraud prevention, risk analysis, measurement, and modeling. You’ll be accountable for building a high-performing DS function that can keep pace with fast-moving threats—and for shaping the analytical strategy that informs how OpenAI detects, measures, and mitigates integrity risks at scale.</p>\n<p>This is a highly cross-functional leadership role. You’ll help set the roadmap with Integrity Product/Engineering leaders, evolve team structure and operating rhythms, raise the bar on technical rigor (experimentation, causal inference, modeling, metrics), and develop a culture of proactive, high-leverage impact. Many of the challenges in this space are emergent—new misuse patterns appear as the technology and ecosystem evolves—so this role requires strong judgment, comfort with ambiguity, and an ability to build systems that scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li><strong>Lead and scale</strong> a high-impact Integrity Data Science team—hiring, coaching, and developing DS ICs (and potentially future managers) while setting a strong technical and cultural bar.</li>\n</ul>\n<ul>\n<li><strong>Drive strategy across multiple Integrity domains</strong> (policy enforcement, bot detection, fraud prevention, IP theft, risk measurement, abuse prevention), balancing near-term response with durable systems.</li>\n</ul>\n<ul>\n<li><strong>Build and institutionalize analytical rigor</strong>: clear metric frameworks, experimentation standards, monitoring/alerting, and repeatable evaluation approaches for Integrity interventions.</li>\n</ul>\n<ul>\n<li><strong>Partner deeply with Product &amp; Engineering</strong> to shape roadmaps, prioritize the right bets, and translate ambiguous risk signals into practical product and platform decisions.</li>\n</ul>\n<ul>\n<li><strong>Evolve team structure and operating model</strong> as the org scales—defining ownership boundaries, improving processes, and creating leverage through better tooling and AI-assisted workflows.</li>\n</ul>\n<ul>\n<li><strong>Enable cross-org outcomes</strong>, supporting partners outside Integrity (e.g., Growth, Ads, GTM) where integrity risks intersect with product and business goals.</li>\n</ul>\n<ul>\n<li><strong>Communicate clearly with senior leadership</strong>, synthesizing complex tradeoffs, surfacing risk, and driving alignment on priorities and success metrics.</li>\n</ul>\n<ul>\n<li><strong>Push the team toward an AI-leveraged operating mode</strong>, using modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have deep experience leading and scaling Data Science teams, ideally in trust &amp; 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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>The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.</p>\n<p>We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for an experienced fullstack engineer to join our new ChatGPT Growth team to spearhead high-impact projects that amplify the user base of ChatGPT and Plus Subscribers. Your role will include projects such as optimizing account access, notifications, SEO, fostering value discovery, and virality. As we are in the nascent stages of growth at OpenAI, we will rely on you to discover pivotal areas where strategic bets or incremental efforts can catalyze significant impact. We value engineers who are impact-driven, autonomous, adept at discerning crucial insights from experimental results, and have a strong intuition for how to remove barriers to unlocking the magic of ChatGPT.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Drive long-term growth of ChatGPT through a combination of data analysis, product ideation, and experimentation to optimize product experiences.</li>\n</ul>\n<ul>\n<li>Plan and deploy backend APIs necessary to power these product experiences.</li>\n</ul>\n<ul>\n<li>Execute on projects by working closely with research, product, design, data science and other members of product teams to land impact on product goals.</li>\n</ul>\n<ul>\n<li>Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Shipped features on web that optimize the user funnel, such as landing pages, product pages, purchase flows, search flows, etc.</li>\n</ul>\n<ul>\n<li>Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. You know exactly what and how to track business metrics and KPIs.</li>\n</ul>\n<ul>\n<li>Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary</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 encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_0f4b5e01-e25","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/77bc0b3a-35c1-4ecf-99c7-1b3b19d959ca","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$153K – $385K • Offers Equity","x-skills-required":["Full Stack Software Engineer","Backend APIs","Data Analysis","Product Ideation","Experimentation","A/B Testing","Data-Driven Decision Making","Communication","Collaboration","Problem-Solving","Adaptability"],"x-skills-preferred":["Cloud Computing","Containerization","DevOps","Machine Learning","Data Science","Statistics","SQL","NoSQL","Agile Methodologies","Scrum"],"datePosted":"2026-03-06T18:27:20.191Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Full Stack Software Engineer, Backend APIs, Data Analysis, Product Ideation, Experimentation, A/B Testing, Data-Driven Decision Making, Communication, Collaboration, Problem-Solving, Adaptability, Cloud Computing, Containerization, DevOps, Machine Learning, Data Science, Statistics, SQL, NoSQL, Agile Methodologies, Scrum","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":153000,"maxValue":385000,"unitText":"YEAR"}}}]}