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We&#39;re resetting expectations of what a bio-pharmaceutical company can be. This means we&#39;re opening up new ways to work, groundbreaking and cutting-edge methods, and bringing unexpected teams together.</p>\n<p>The Forecasting Director, Oncology leads the US forecasting process for Gynecology+ Genitourinary indications and the LYNPARZA brand in the Oncology portfolio. As a thought partner to the business, the Forecasting Director will develop product-specific short-term and long-term forecasts and provide critical insights into market risks &amp; opportunities that may impact performance to ultimately guide commercial strategy and decision-making.</p>\n<p>Strong analytical and critical thinking skills are essential to developing rigorous forecasts using patient-flow / patient-based models and incorporating new AI capabilities. The Forecasting Director seamlessly collaborates with Insights and Analytics colleagues to deliver fact-driven, actionable insights to the business.</p>\n<p>In addition, the Forecasting Director will closely partner with Marketing, Sales, Market Access, Sales Operations, Global Analytics &amp; Insights, Supply Planning, and Finance to ensure alignment on forecast assumptions and narrative. The Forecasting Director regularly presents to senior leaders the forecast and performance story.</p>\n<p>Key abilities include consultative and influencing skills, quantitative technical skills, and proficiency in interpreting primary market research / secondary data analyses. The Forecasting Director&#39;s deep expertise in forecasting enables them to solve complex technical challenges efficiently and effectively, anticipate upcoming forecast questions, and identify innovative solutions, including AI, that benefit the entire portfolio.</p>\n<p>Beyond brand-level contribution, the Forecasting Director plays an integral role as a leader within the US Oncology Forecasting &amp; Performance CoE (Center of Excellence), helping to deliver cross-brand forecasting alignment, efficiencies, best practices, and capability builds. In addition, the Forecasting Director will help to coach and train a forecasting &amp; performance talent pipeline.</p>\n<p>This role reports to the Integrated Insights Senior Director for the Tumor Franchise and sits within US Integrated Insights - Oncology Business Excellence organization, an inclusive team that partners with the US Oncology commercial organization to drive strategic decisions by providing objective, data-driven insight generation and analytics.</p>\n<p>Roles &amp; Responsibilities:</p>\n<ul>\n<li>Lead the US forecasting and business planning processes and all associated work streams for covered brand / indications (scenario planning, integration with Finance, etc.)</li>\n</ul>\n<ul>\n<li>Develop, build, and maintain up-to-date product-specific short-term and long-term forecasts models, synthesizing an integrated picture with information across multiple sources; as required, manage external agency executing the model build/update</li>\n</ul>\n<ul>\n<li>Proactively and clearly identify key drivers that impact short-term and long-range product and market forecasts, highlighting significant risks and opportunities</li>\n</ul>\n<ul>\n<li>Incorporate AI analytical tools into the forecast process and drive continuing enhancements of the AI forecasting platform</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with key commercial leaders, Business Excellence colleagues, and other forecast stakeholders to align on objective, data-driven forecast inputs</li>\n</ul>\n<ul>\n<li>Provide in-depth analyses of underlying drivers of brand performance in support of key business deliverables and milestones (e.g. Quarterly Business Reviews)</li>\n</ul>\n<ul>\n<li>Monitor external environment to stay up to date on the competitive landscape and latest market developments for covered brand/indications as well as broader Oncology trends</li>\n</ul>\n<ul>\n<li>Consult on primary research and secondary analytics relevant to forecasting, and incorporate results into modeling to add deep customer insight and assess future events</li>\n</ul>\n<ul>\n<li>Deliver insightful, objective presentations to senior leaders (e.g., SVP US Commercial Oncology, VP of US Franchise) that clearly and succinctly highlight critical insights and business implications through strong storytelling</li>\n</ul>\n<ul>\n<li>Collaborate with senior US leaders on performance narrative for C-level audience</li>\n</ul>\n<ul>\n<li>Maintain effective relationships with contractors and other third-party vendors through oversight of the vendor management process</li>\n</ul>\n<ul>\n<li>Direct and help prioritize work of Forecasting &amp; Performance Associate Directors, Sr. Managers, and Sr. Analysts</li>\n</ul>\n<ul>\n<li>Work with US Oncology Forecasting Center of Excellence Senior Director to build forecasting capabilities and identify and drive cross-brand forecasting process efficiencies, automation, and innovation (including AI capabilities)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_efd22dd7-ca8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"LYNPARZA Insights & Analytics","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689799584","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$194,500-$291,800","x-skills-required":["forecasting","data analytics","AI","machine learning","data science","statistics","mathematics","business planning","commercial strategy","market research","competitive intelligence"],"x-skills-preferred":["advanced analytics","primary market research","epidemiological data analysis","SEER data analysis","Kantar data analysis","DRG data analysis"],"datePosted":"2026-04-18T22:13:51.273Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gaithersburg, Maryland, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"forecasting, data analytics, AI, machine learning, data science, statistics, mathematics, business planning, commercial strategy, market research, competitive intelligence, advanced analytics, primary market research, epidemiological data analysis, SEER data analysis, Kantar data analysis, DRG data analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":194500,"maxValue":291800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7e58f60-5fa"},"title":"Software Engineer - 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The successful candidate will be expected to assess the firm&#39;s existing data and workflow landscape, identify and size near-term P&amp;L opportunities, and lead the build-out of execution and analysis infrastructure.</p>\n<p><strong>Principal Responsibilities</strong></p>\n<ul>\n<li>Assess the firm&#39;s existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real-time and historical data layer to support execution and analysis</li>\n<li>Identify and size near-term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps</li>\n<li>Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum, from liquid on-the-run Treasuries to illiquid corporate bonds,using RFQ, click-to-trade, and direct connectivity workflows</li>\n<li>Build transaction cost analysis and pre-trade cost models for fixed income instruments;</li>\n<li>Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly</li>\n<li>Recruit and mentor junior quants and engineers as the platform scales</li>\n</ul>\n<p><strong>Qualifications / Skills Required</strong></p>\n<ul>\n<li>10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side</li>\n<li>Hands-on experience building execution infrastructure for institutional fixed income: RFQ and/or click-to-trade workflows, FIX protocol connectivity, and integration with major electronic venues</li>\n<li>Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities</li>\n<li>Strong programming skills; experience with data pipelines and market data APIs</li>\n<li>Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field</li>\n<li>Demonstrated ability to translate data analysis into actionable P&amp;L estimates and communicate findings to non-technical stakeholders</li>\n<li>Experience as a hands-on development lead, with a track record of taking projects from inception to production</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_1a20521b-6ce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Trading Solutions","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954333818","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["fixed income electronic trading","execution","quantitative research","RFQ and/or click-to-trade workflows","FIX protocol connectivity","integration with major electronic venues","TCA or cost models for fixed income instruments","data pipelines","market data APIs","quantitative background","degree in Mathematics, Computer Science, Engineering, Physics, or a related field"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:00.980Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"fixed income electronic trading, execution, quantitative research, RFQ and/or click-to-trade workflows, FIX protocol connectivity, integration with major electronic venues, TCA or cost models for fixed income instruments, data pipelines, market data APIs, quantitative background, degree in Mathematics, Computer Science, Engineering, Physics, or a related field"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f59c4a7f-68e"},"title":"Test Engineering Leader - Evinova","description":"<p>Join Evinova, a health-tech business, in accelerating better health outcomes by advancing digital transformation across the life sciences sector. 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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_7b627879-34d"},"title":"Anthropic Fellows Program — Reinforcement Learning","description":"<p>We are seeking highly motivated individuals to join our Anthropic Fellows Program, a 4-month full-time research opportunity focused on reinforcement learning. As a fellow, you will work on an empirical project aligned with our research priorities, with the goal of producing a public output such as a paper submission.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Work on an empirical project aligned with our research priorities</li>\n<li>Produce a public output such as a paper submission</li>\n<li>Collaborate with our research team</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Strong technical background in computer science, mathematics, or physics</li>\n<li>Fluent in Python programming</li>\n<li>Available to work full-time on the Fellows program</li>\n</ul>\n<p>Preferred qualifications include experience in areas of research or engineering related to reinforcement learning, and strong software engineering skills with experience building complex ML systems.</p>\n<p>As a fellow, you will have access to a shared workspace in London, direct mentorship from our researchers, and a weekly stipend of $3,850 USD / £2,310 GBP / $4,300 CAD. You will also have the opportunity to collaborate with our research team and contribute to the development of our AI systems.</p>\n<p>Logistics:</p>\n<ul>\n<li>To participate in the Fellows program, you must have work authorization in the UK and be located in the UK during the program.</li>\n<li>We have designated shared workspaces in London where fellows will work from and mentors will visit.</li>\n<li>We are not currently able to sponsor visas for fellows.</li>\n</ul>\n<p>Please note that we do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic.</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_7b627879-34d","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":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$3,850 USD / £2,310 GBP / $4,300 CAD per week","x-skills-required":["Python","Reinforcement learning","Machine learning","Computer science","Mathematics","Physics"],"x-skills-preferred":["Software engineering","Complex ML systems","Research or engineering related to reinforcement learning"],"datePosted":"2026-04-18T15:51:11.089Z","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, Computer science, Mathematics, Physics, Software engineering, Complex ML systems, Research or engineering related to reinforcement learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":2310,"maxValue":4300,"unitText":"YEAR"}}},{"@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_6d742066-b4f"},"title":"Anthropic Fellows Program — AI Safety","description":"<p>The Anthropic Fellows Program is a 4-month full-time research opportunity designed to foster AI research and engineering talent. As a fellow, you will work on an empirical project aligned with our research priorities, with the goal of producing a public output. You will have direct mentorship from Anthropic researchers, access to a shared workspace, and connection to the broader AI safety and security research community. The expected base stipend for this role is $3,850 USD per week, with an expectation of 40 hours per week for 4 months.</p>\n<p>The program is open to individuals with a strong technical background in computer science, mathematics, or physics, and who are motivated by making sure AI is safe and beneficial for society as a whole. You will be part of a diverse team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p>As a fellow, you will have the opportunity to work on projects in select AI safety research areas, such as scalable oversight, adversarial robustness and AI control, model organisms, model internals/mechanistic interpretability, and AI welfare. You will also have access to our Alignment Science and Frontier Red Team blogs, which feature past projects and research directions.</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. We are not currently able to sponsor visas for fellows.</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_6d742066-b4f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183044008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$3,850 USD per week","x-skills-required":["Python programming","Fluent in Python","Strong technical background in computer science, mathematics, or physics"],"x-skills-preferred":["Experience in areas of research or engineering related to AI safety","Experience working with large language models","Track record of open-source contributions"],"datePosted":"2026-04-18T15:50:02.130Z","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 programming, Fluent in Python, Strong technical background in computer science, mathematics, or physics, Experience in areas of research or engineering related to AI safety, Experience working with large language models, Track record of open-source contributions","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":3850,"maxValue":3850,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_81176ba0-f7d"},"title":"Mission Software Engineer, Vehicle Software, C++","description":"<p><strong>About the Team</strong></p>\n<p>Air Dominance &amp; Strike (AD&amp;S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD&amp;S Vehicle Software team is responsible for the software running on these systems. Our software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry.</p>\n<p>We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD&amp;S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.</p>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Eligible to obtain and maintain an active U.S. Top Secret security clearance</li>\n<li>BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field</li>\n<li>3+ years of production-grade C++ and/or Rust experience in a Linux development environment</li>\n<li>Experience building software solutions involving significant amounts of data processing and analysis</li>\n<li>Ability to quickly understand and navigate complex systems and established code bases</li>\n<li>A desire to work on critical software that has a real-world impact</li>\n<li>Travel up to 30% of time to build, test, and deploy capabilities in the real world</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling &amp; simulation (M&amp;S) and physical systems</li>\n<li>Developing and testing multi-agent autonomous systems and deploying in real-world environments.</li>\n<li>Feature and algorithm development with an understanding of behavior trees.</li>\n<li>Developing software/hardware for flight systems and safety critical functionality.</li>\n<li>Distributed communication networks and message standards</li>\n<li>Knowledge of military systems and operational tactics</li>\n</ul>\n<p><strong>Compensation and Benefits</strong></p>\n<p>US Salary Range $166,000-$220,000 USD</p>\n<p>The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril&#39;s total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p>\n<p>Healthcare Benefits</p>\n<ul>\n<li>US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.</li>\n<li>UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</li>\n<li>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.</li>\n</ul>\n<p>Additional Benefits</p>\n<ul>\n<li>Income Protection: Anduril covers life and disability insurance for all employees.</li>\n<li>Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</li>\n<li>Family Planning &amp; Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</li>\n<li>Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.</li>\n<li>Professional Development: Annual reimbursement for professional development</li>\n<li>Commuter Benefits: Company-funded commuter benefits based on your region.</li>\n<li>Relocation Assistance: Available depending on role eligibility.</li>\n</ul>\n<p>Retirement Savings Plan</p>\n<ul>\n<li>US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</li>\n<li>UK &amp; IE Roles: Pension plan with employer match.</li>\n<li>AUS Roles: Superannuation plan.</li>\n</ul>\n<p><strong>Protecting Yourself from Recruitment Scams</strong></p>\n<p>Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We&#39;ve observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>\n<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>\n<p>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</p>\n<p>Please always verify communications:</p>\n<ul>\n<li>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</li>\n<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency&#39;s authenticity by reaching out to contact@anduril.com.</li>\n</ul>\n<p>Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender&#39;s email domain is @anduril.com before providing any personal information or clicking on links.</p>\n<p>What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. 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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_2bf2ad20-150","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://x.ai/","logo":"https://logos.yubhub.co/x.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4997616007","x-work-arrangement":"remote","x-experience-level":"mid","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","skilled trades","insurance and risk","logistics and operations","finance and banking","accounting and tax","health and social data"],"x-skills-preferred":["professional certifications","prior professional experience","AI Tutoring experience","experience teaching or training others","experience building and reviewing complex spreadsheets"],"datePosted":"2026-04-18T15:47:04.566Z","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, skilled trades, insurance and risk, logistics and operations, finance and banking, accounting and tax, health and social data, professional certifications, prior professional experience, AI Tutoring experience, experience teaching or training others, experience building and reviewing complex spreadsheets"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9aff5e6a-187"},"title":"Lead Software Engineer","description":"<p>As a Lead Software Engineer on the Connected Warfare team, you will help architect third-party systems to seamlessly integrate with Anduril products while solving a wide variety of technical problems, making pragmatic engineering tradeoffs along the way.</p>\n<p>Your role sets the bar for the technical excellence our customers expect from Anduril. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset,executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.</p>\n<p>Responsibilities: Be a champion for Anduril capabilities within a customer environment Develop architecture and mission vignettes Iterate on core data mesh technology to make optimal use of degraded networks Develop connectors and APIs for legacy and cutting-edge systems to integrate with Lattice Deploy software to non-standard environments Create data flow pipelines that span horizontally and vertically across disparate networked systems and security domains</p>\n<p>Required Qualifications: Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics At least 6+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc. At least 2+ years previous experience as a technical lead or people manager of software engineers Experience building software solutions involving significant amounts of data processing and analysis Ability to quickly understand and navigate complex systems and established code bases Experience working in a customer/client-facing role A desire to work on critical software that has a real-world impact Ability to travel to client sites Eligible for NATO Clearance</p>\n<p>Benefits: Highly competitive equity grants Top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver and wellness leave, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and retirement savings plans</p>\n<p>Salary Range: The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.</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_9aff5e6a-187","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5102993007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. 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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. All qualified individuals 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_b2205f21-14a","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/7672101","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Artificial Intelligence","Leadership","Communication","Problem Solving","Computer Science","Mathematics","Statistics"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:41:44.259Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"China"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Artificial Intelligence, Leadership, Communication, Problem Solving, Computer Science, Mathematics, Statistics"},{"@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_1d579dbd-111"},"title":"Anthropic Fellows Program — AI Safety","description":"<p><strong>About the Role</strong></p>\n<p>The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.</p>\n<p>As a fellow, you will primarily use external infrastructure (e.g. open-source models, public APIs) to 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>Responsibilities</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>What to Expect</strong></p>\n<p>We will conduct an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion.</p>\n<p><strong>Strong Candidates</strong></p>\n<ul>\n<li>Are motivated by making sure AI is safe and beneficial for society as a whole</li>\n<li>Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic</li>\n<li>Have a strong technical background in computer science, mathematics, or physics</li>\n<li>Thrive in fast-paced, collaborative environments</li>\n<li>Can implement ideas quickly and communicate clearly</li>\n</ul>\n<p><strong>Unique Candidate Criteria</strong></p>\n<p>You might be a particularly great fit for this workstream if you:</p>\n<ul>\n<li>Are motivated by reducing catastrophic risks from advanced AI systems</li>\n<li>Have experience with empirical ML research projects</li>\n<li>Have experience working with large language models</li>\n<li>Have experience in one of the research areas mentioned above</li>\n<li>Have a track record of open-source contributions</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>Visa Sponsorship</strong></p>\n<p>We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.</p>\n<p><strong>Program Duration</strong></p>\n<p>The program runs for 4 months, full-time. If you can&#39;t commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.</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_1d579dbd-111","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.ai/","logo":"https://logos.yubhub.co/anthropic.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183044008","x-work-arrangement":"remote|hybrid|onsite","x-experience-level":"entry|mid|senior|staff|executive","x-job-type":"full-time","x-salary-range":"3,850 USD / 2,310 GBP / 4,300 CAD per week","x-skills-required":["Python programming","Computer science","Mathematics","Physics"],"x-skills-preferred":["Empirical ML research projects","Large language models","Research areas mentioned above","Open-source contributions"],"datePosted":"2026-04-18T15:39:51.757Z","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|Research","industry":"Technology|AI","skills":"Python programming, Computer science, Mathematics, Physics, Empirical ML research projects, Large language models, Research areas mentioned above, Open-source contributions","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":2310,"maxValue":4300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef01837a-5e3"},"title":"Anthropic Fellows Program — AI Security","description":"<p><strong>About the Role</strong></p>\n<p>The Anthropic Fellows Program is a 4-month, full-time research opportunity for individuals to work on empirical AI research and engineering projects. As an AI Security Fellow, you will be part of a team that focuses on reducing catastrophic risks from advanced AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Conduct empirical AI research and engineering projects aligned with Anthropic&#39;s research priorities</li>\n<li>Collaborate with mentors and peers to achieve project goals</li>\n<li>Present research findings and results to the team and wider community</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Fluency in Python programming</li>\n<li>Strong technical background in computer science, mathematics, or physics</li>\n<li>Ability to implement ideas quickly and communicate clearly</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with pentesting, vulnerability research, or other offensive security work</li>\n<li>Experience with empirical ML research projects</li>\n<li>Experience with deep learning frameworks and experiment management</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>To participate in the Fellows program, you must have work authorization in the UK and be located in the UK during the program</li>\n<li>Workspace locations: London and Berkeley</li>\n<li>Visa sponsorship: Not currently available</li>\n</ul>\n<p><strong>Application Process</strong></p>\n<p>Applications and interviews are managed by Constellation, our official recruiting partner for this program. Clicking &#39;Apply here&#39; 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_ef01837a-5e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5030244008","x-work-arrangement":"onsite","x-experience-level":"entry|mid|senior|staff|executive","x-job-type":"full-time","x-salary-range":"$3,850 USD / £2,310 / $4,300 CAD per week","x-skills-required":["Python","Computer Science","Mathematics","Physics"],"x-skills-preferred":["Pentesting","Vulnerability Research","Offensive Security Work","Empirical ML Research Projects","Deep Learning Frameworks","Experiment Management"],"datePosted":"2026-04-18T15:38:42.812Z","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, Computer Science, Mathematics, Physics, Pentesting, Vulnerability Research, Offensive Security Work, Empirical ML Research Projects, Deep Learning Frameworks, Experiment Management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":2310,"maxValue":4300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_762f29e0-3f9"},"title":"Anthropic Fellows Program","description":"<p>The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.</p>\n<p>Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to 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>We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.</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>Interview Process</strong></p>\n<p>The interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion.</p>\n<p><strong>Compensation</strong></p>\n<p>The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).</p>\n<p><strong>Fellows Workstreams</strong></p>\n<p>Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.</p>\n<p>Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. 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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. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.</p>\n<p>Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. 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 Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant</li>\n<li>Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)</li>\n<li>Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&amp;P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)</li>\n<li>Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm</li>\n<li>Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance</li>\n<li>Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)</li>\n<li>Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)</li>\n<li>Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)</li>\n<li>Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)</li>\n<li>CFA, FRM, PRM, CQF, or similar risk-focused certifications</li>\n<li>Previous exposure to large language models, AI safety, or quantitative evaluation pipelines</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</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 meet xAI’s minimum hardware requirements</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_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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certifications","Previous exposure to large language models, AI safety, or quantitative evaluation pipelines"],"datePosted":"2026-04-18T15:37:52.243Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"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, Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm, Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance, Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training), Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.), Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.), Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II), CFA, FRM, PRM, CQF, or similar risk-focused certifications, Previous exposure to large language models, AI safety, or quantitative evaluation pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc3193ff-419"},"title":"Technical Advisor Specialist (Part-Time Internship)","description":"<p><strong>About the Program</strong></p>\n<p>The Technical Advisor Specialist (Part-Time Internship) role is a summer semester opportunity designed for university students, ideally with experience in competitive coding, mathematics, and STEM disciplines.</p>\n<p>These Specialists will immerse themselves in real-world projects that push the boundaries of generative AI, gaining firsthand exposure to cutting-edge research and technology.</p>\n<p>Throughout the program, you’ll have the freedom to work flexibly around your academic schedule, the chance to connect directly with AI experts, and the support of a team that values your contributions and professional growth.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Contribute to Cutting-Edge AI Projects: Work on initiatives aimed at advancing AI capabilities,such as training models for complex reasoning tasks or identifying model failure modes.</li>\n</ul>\n<p>You’ll gain exposure to state-of-the-art technologies and research, enhancing your technical expertise.</p>\n<ul>\n<li>Join Focus Groups: Participate in bi-weekly sessions where you’ll exchange insights, discuss evolving AI techniques, and learn from experienced researchers.</li>\n</ul>\n<p>This forum encourages deep exploration of topics and helps you develop critical thinking and communication skills.</p>\n<ul>\n<li>Engage in Team-Based Projects: Collaborate with small groups of specialists on creative challenges,ranging from drafting blog-style content to conceptualizing innovative AI solutions.</li>\n</ul>\n<p>By working closely with peers, you’ll refine your teamwork, leadership, and problem-solving abilities.</p>\n<ul>\n<li>Work Independently &amp; Flexibly: Set your own working hours, ensuring you can prioritize your academic life while still making meaningful progress.</li>\n</ul>\n<p>The environment is structured to accommodate your schedule without compromising the quality of your contributions.</p>\n<p><strong>Who Should Apply</strong></p>\n<ul>\n<li>Academic Background: Enrolled students in computer science, mathematics, engineering, or a related STEM field.</li>\n</ul>\n<ul>\n<li>Technical Skills: Demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions.</li>\n</ul>\n<ul>\n<li>Mindset: Curious, self-motivated, and eager to learn, contribute, and collaborate with like-minded peers and industry experts.</li>\n</ul>\n<p><strong>Why Join Us?</strong></p>\n<ul>\n<li>Real-World Impact: Your work will have tangible influence on the direction of AI capabilities, giving you a sense of purpose and involvement that goes beyond typical internship work.</li>\n</ul>\n<ul>\n<li>Professional Growth &amp; Networking: Connect one-on-one with AI professionals, build relationships with fellow specialists, and expand your industry network.</li>\n</ul>\n<ul>\n<li>Optional In-Person Meetups: Opt to join occasional regional gatherings to meet peers and Scale AI personnel face-to-face.</li>\n</ul>\n<p>These events provide opportunities for more personal interactions, fostering deeper connections and insights that complement your remote work.</p>\n<ul>\n<li>Pathways to the Future: Exceptional specialists may be invited to continue working with Scale AI.</li>\n</ul>\n<p>Alumni networks and ongoing support keep doors open for future collaborations and career advancement.</p>\n<ul>\n<li>Compensation &amp; Flexibility: $50/hour; 5-20 hours a week, and fully remote (within the U.S.)</li>\n</ul>\n<p><strong>Notes</strong></p>\n<p>Our policy requires a 90-day waiting period before reconsidering candidates for the same role.</p>\n<p>This allows us to ensure a fair and thorough evaluation of all applicants.</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_dc3193ff-419","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/4611533005","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"$50/hour","x-skills-required":["competitive coding","mathematics","STEM disciplines","AI capabilities","model training","complex reasoning tasks","model failure modes"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:36:04.833Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"competitive coding, mathematics, STEM disciplines, AI capabilities, model training, complex reasoning tasks, model failure modes"},{"@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. 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.</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 - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. 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_e0ba719a-27c"},"title":"Machine Learning Engineer","description":"<p>About the role\\nWe are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production.\\n\\nUnifyID is building a platform to solve one the world&#39;s biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what&#39;s possible in production machine learning and on mobile devices. Our data analytics platform can translate mobile sensor data from real-world human activity into a &quot;digital fingerprint&quot; with no conscious action from the user, all in real-time, and in a way that respects user privacy.\\n\\nThis is an opportunity to be a part of something truly unique and game-changing. We are looking for natural-born builders who are comfortable in multiple technical areas, have creative problem-solving skills, a love for coding and technology and a &quot;get stuff done&quot; attitude.\\n\\n## Your day-to-day\\n- Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform\\n- Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems\\n- Interface with our world-class machine learning research team to help turn core research into reality\\n- Wrangle and perform experiments on petabyte-scale data sets\\n- Wear many hats to make things happen in a dynamic startup environment\\n- Bring your own unique expertise to the team and learn from others\\n- Enjoy tight collaboration with your teammates\\n\\n## Ideal candidates will have...\\n- Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care\\n- Many &quot;been there, done that&quot; stories related to shipping and maintaining major software products for customers\\n- Excellent coding skills in an object-oriented language (Go, Python, Rust, Java, C++, Ruby, etc...)\\n- Experience working with high volumes of data, ideally with machine learning playing a critical role\\n- Strong foundational knowledge of mathematics, bonus if related to machine learning or signals processing\\n- A breadth of technical skills and know how to use the right tool for the job\\n- High motivation and ability to learn new technologies and domains\\n- A positive can-do attitude and bring a passion for excellence to the workplace\\n- Excellent collaboration and communication skills\\n- Professional experience with AWS, Kubernetes a bonus\\n- Knowledge of cybersecurity, signals processing, or experience working with time-series data a bonus\\n\\n## Additional Information\\nJoin us!\\nAs we continue to scale our company, we are looking for people who know how to make an impact. We&#39;re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.\\n\\nProve has big plans; we&#39;re excited and optimistic about the future. If this sounds like a career for you – come check us out.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e0ba719a-27c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Prove","sameAs":"https://www.prove.com/","logo":"https://logos.yubhub.co/prove.com.png"},"x-apply-url":"https://jobs.lever.co/unify/4d45b5b9-3fb3-4e37-9213-c29ebf95be2d","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["object-oriented programming","machine learning","data analysis","mathematics","signals processing","cybersecurity","AWS","Kubernetes"],"x-skills-preferred":[],"datePosted":"2026-04-17T13:06:40.836Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redwood City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"object-oriented programming, machine learning, data analysis, mathematics, signals processing, cybersecurity, AWS, Kubernetes"},{"@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_81c1220e-c71"},"title":"Applied Scientist / Research Engineer","description":"<p>About the Job</p>\n<p>Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains.</p>\n<p>Responsibilities</p>\n<p>• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.\n• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.\n• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.\n• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.\n• Manage research projects and communications with client research teams.</p>\n<p>About You</p>\n<p>• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.\n• You’re an expert with PyTorch or JAX.\n• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.\n• You write clean, readable, high-performance, fault-tolerant Python code.\n• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.\n• Low-ego, collaborative and eager to learn.\n• You have a track record of success through personal projects, professional projects or in academia.</p>\n<p>Benefits</p>\n<p>• Competitive cash salary and equity\n• Health Insurance\n• Sport: $90 for gym membership allowance\n• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)\n• Transportation: $120/month for public transport or Parking charges reimbursed</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_81c1220e-c71","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/c41d9d9e-f0ea-4621-a4a9-3f10dfa9ae84","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PyTorch","JAX","Python","GPU","OOM","NCCL","Agents","RAG pipelines"],"x-skills-preferred":["PhD","Master","Mathematics","Physics","Machine Learning"],"datePosted":"2026-04-17T12:47:44.697Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, JAX, Python, GPU, OOM, NCCL, Agents, RAG pipelines, PhD, Master, Mathematics, Physics, Machine Learning"},{"@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. 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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 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As a Research Scientist, you will apply your deep scientific knowledge and research skills to advance paradigm-shifting research at a large scale. You will be at the heart of our efforts to deliver step-changes in the capabilities of our frontier models, with a significant focus on our Gemini Diffusion project.</p>\n<p>Your work may involve brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space. You will prototype and develop these ideas with the rest of the team, contributing directly to Gemini Diffusion research. You will solve key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps. You will rigorously validate the theoretical and practical impact of our work at a large scale. You will work collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production. 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This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.</li>\n<li>Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.</li>\n<li>Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting.</li>\n<li>Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.</li>\n<li>Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.</li>\n<li>Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment.</li>\n<li>Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.</li>\n<li>Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights.</li>\n<li>Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization.</li>\n<li>Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products.</li>\n<li>Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators.</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_d4dabbbc-b6f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Aristocrat","sameAs":"https://www.aristocrat.com/","logo":"https://logos.yubhub.co/aristocrat.com.png"},"x-apply-url":"https://aristocrat.wd3.myworkdayjobs.com/en-US/AristocratExternalCareersSite/job/London-United-Kingdom/Principal-Data-Scientist_R0020855","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field","5+ years of professional data science experience","Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics","Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale","Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure)","Industry knowledge: Experience in gaming or digital entertainment is a strong plus"],"x-skills-preferred":[],"datePosted":"2026-03-10T12:11:57.933Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, 5+ years of professional data science experience, Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics, Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale, Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure), Industry knowledge: Experience in gaming or digital entertainment is a strong plus"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2a56a653-c18"},"title":"Palantir Engineer Specialist - Sr. Consultant - Principal","description":"<p><strong>Palantir Engineer Specialist</strong></p>\n<p><strong>Sr. Consultant - Principal</strong></p>\n<p><strong>London</strong></p>\n<p>Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients&#39; most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organisation allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?</p>\n<p><strong>About Your Role</strong></p>\n<p>As a <strong>Senior Consultant / Principal Consultant – Palantir Engineer</strong>, you lead and deliver end-to-end, data-driven solutions using <strong>Palantir Foundry</strong> in complex client environments. You operate at the intersection of engineering, data, and consulting, working closely with business and technical stakeholders to translate complex problems into scalable, production-ready solutions. You combine strong hands-on technical skills with a consulting mindset, taking ownership of solution design, implementation, and adoption across organisations.</p>\n<p><strong>Your role will include:</strong></p>\n<ul>\n<li>Own the <strong>end-to-end delivery</strong> of Palantir Foundry–based solutions, from problem definition to production</li>\n<li>Design and implement <strong>data pipelines and transformations</strong> across diverse data sources</li>\n<li>Model data using <strong>Foundry Ontology</strong> concepts to support analytics and operational use cases</li>\n<li>Build scalable, reliable solutions using <strong>Python, SQL, and PySpark</strong> within Foundry</li>\n<li>Collaborate closely with business stakeholders to define requirements, success metrics, and roadmaps</li>\n<li>Support <strong>prototyping, productionisation, and scaling</strong> of data-driven applications</li>\n<li>Ensure solutions meet requirements for <strong>data quality, governance, security, and performance</strong></li>\n<li>Act as a technical advisor within project teams and contribute to best practices</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<p><strong>What you bring – required</strong></p>\n<p><strong>Experience &amp; Seniority</strong></p>\n<ul>\n<li>Proven experience as a <strong>Senior Consultant or Principal Consultant</strong> in data, analytics, or platform engineering</li>\n<li>Strong experience delivering <strong>client-facing data solutions</strong> in complex environments</li>\n<li>Ability to take ownership and work independently in ambiguous problem spaces</li>\n</ul>\n<p><strong>Core Data &amp; Analytics Technology Skills</strong></p>\n<ul>\n<li>Strong programming skills in <strong>Python</strong> and <strong>SQL</strong>; <strong>PySpark</strong> experience required</li>\n<li>Hands-on experience with <strong>Palantir Foundry</strong>, including:</li>\n<li>Pipeline Builder / Code Workbook</li>\n<li>Data integration and transformation</li>\n<li>Ontology modelling and data lineage</li>\n<li>Solid understanding of <strong>data architectures</strong>, including data lakes, lakehouses, and data warehouses</li>\n<li>Experience working with APIs, databases, and structured / semi-structured data</li>\n</ul>\n<p><strong>Engineering &amp; Platform Foundations</strong></p>\n<ul>\n<li>Experience building <strong>scalable ETL/ELT pipelines</strong></li>\n<li>Familiarity with <strong>CI/CD concepts</strong>, testing, and production deployments</li>\n<li>Strong focus on <strong>solution quality, maintainability, and performance</strong></li>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field <strong>or equivalent practical experience</strong></li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Experience with <strong>cloud platforms</strong> (AWS, Azure, GCP)</li>\n<li>Familiarity with <strong>containerisation</strong> (Docker, Kubernetes)</li>\n<li>Prior experience as a <strong>Palantir FDE</strong> or in Foundry-heavy delivery roles</li>\n<li>Domain experience in industries such as <strong>Energy, Finance, Public Sector, Healthcare, or Logistics</strong></li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p><strong>About your team</strong></p>\n<p>Join our growing Data &amp; Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics strategy, Data Management &amp; Governance, Data Platforms &amp; engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognised as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognised by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... 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_2a56a653-c18","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/2A8U1ryerVijb4fFAc6i8u/hybrid-palantir-engineer-specialist---sr.-consultant---principal-in-london-at-infosys-consulting---europe","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","SQL","PySpark","Palantir Foundry","Pipeline Builder","Code Workbook","Data integration","Data transformation","Ontology modelling","Data lineage","Data architectures","Data lakes","Lakehouses","Data warehouses","APIs","Databases","Structured data","Semi-structured data","ETL/ELT pipelines","CI/CD concepts","Testing","Production deployments","Solution quality","Maintainability","Performance","Bachelor’s degree","Master’s degree","Computer Science","Engineering","Mathematics"],"x-skills-preferred":["Cloud platforms","Containerisation","Palantir FDE","Foundry-heavy delivery roles","Domain experience in industries such as Energy, Finance, Public Sector, Healthcare, or Logistics"],"datePosted":"2026-03-09T16:59:40.750Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, PySpark, Palantir Foundry, Pipeline Builder, Code Workbook, Data integration, Data transformation, Ontology modelling, Data lineage, Data architectures, Data lakes, Lakehouses, Data warehouses, APIs, Databases, Structured data, Semi-structured data, ETL/ELT pipelines, CI/CD concepts, Testing, Production deployments, Solution quality, Maintainability, Performance, Bachelor’s degree, Master’s degree, Computer Science, Engineering, Mathematics, Cloud platforms, Containerisation, Palantir FDE, Foundry-heavy delivery roles, Domain experience in industries such as Energy, Finance, Public Sector, Healthcare, or Logistics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_56dc9a51-e66"},"title":"Principal Consultant - Data Architecture","description":"<p><strong>Principal Consultant - Data Architecture</strong></p>\n<p>You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.</p>\n<p><strong>About Your Role</strong></p>\n<p>As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. You will shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders.</p>\n<p><strong>Your Role Will Include:</strong></p>\n<ul>\n<li>Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments</li>\n<li>Translate business objectives into scalable, secure, and compliant data solutions</li>\n<li>Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)</li>\n<li>Guide delivery teams through implementation, rollout, and production readiness</li>\n<li>Function as senior technical counterpart for client architects, IT leads, and engineering teams</li>\n<li>Mentor data architects, system architects and engineers and contribute to best practices and reference architectures</li>\n<li>Support pre-sales and solution design activities from a technical perspective</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics</li>\n<li>Proven experience leading enterprise data architecture workstreams or technical teams</li>\n<li>Strong client-facing experience in complex enterprise environments</li>\n</ul>\n<p><strong>Core Data &amp; Analytics Technology Skills</strong></p>\n<ul>\n<li>Strong expertise in modern data architectures, including:</li>\n<li>Data Mesh/ Data Fabric/ Data lake / data warehouse architectures</li>\n<li>Modern Data Architecture design principles</li>\n<li>Batch and streaming data integration patterns</li>\n<li>Data Platform, DevOps, deployment and security architectures</li>\n<li>Analytics and AI enablement architectures</li>\n<li>Hands-on experience with cloud data platforms, e.g.:</li>\n<li>Azure, AWS or GCP</li>\n<li>Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric</li>\n<li>Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)</li>\n<li>Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)</li>\n<li>Solid understanding of API-based and event-driven architectures</li>\n<li>Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.</li>\n</ul>\n<p><strong>Engineering &amp; Platform Foundations</strong></p>\n<ul>\n<li>Experience with data pipelines, orchestration, and automation</li>\n<li>Familiarity with CI/CD concepts and production-grade deployments</li>\n<li>Understanding of distributed systems; Docker / Kubernetes is a plus</li>\n</ul>\n<p><strong>Data Management &amp; Governance</strong></p>\n<ul>\n<li>Strong understanding of data management and governance principles, including:</li>\n<li>Data quality, metadata, lineage, master data management</li>\n<li>Data Management software and tools</li>\n<li>Security, access control, and compliance considerations</li>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective</li>\n<li>Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)</li>\n<li>Hands-on Experience with data governance or metadata tools</li>\n<li>Cloud, data, or architecture certifications</li>\n</ul>\n<p><strong>Language &amp; Mobility</strong></p>\n<ul>\n<li>Very good English skills</li>\n<li>Willingness to travel for project-related work</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>You will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... 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_56dc9a51-e66","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/hpBWjvvy8D6B1f818cHxZR/remote-principal-consultant---data-architecture-in-poland-at-infosys-consulting---europe","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["enterprise data architecture","system data integration","data engineering","analytics","modern data architectures","Data Mesh/ Data Fabric/ Data lake / data warehouse architectures","Modern Data Architecture design principles","Batch and streaming data integration patterns","Data Platform, DevOps, deployment and security architectures","Analytics and AI enablement architectures","cloud data platforms","Azure","AWS","GCP","Databricks","Snowflake","BigQuery","Azure Synapse / Microsoft Fabric","SQL","relational databases","Postgres","SQL Server","Oracle","NoSQL databases","Cosmos DB","MongoDB","InfluxDB","API-based and event-driven architectures","data migration programmes","data pipelines","orchestration","automation","CI/CD concepts","production-grade deployments","distributed systems","Docker","Kubernetes","data management and governance principles","data quality","metadata","lineage","master data management","data management software and tools","security","access control","compliance considerations","Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience"],"x-skills-preferred":["advanced analytics","AI / ML or GenAI","streaming platforms","Kafka","Azure Event Hubs","data governance or metadata tools","cloud","data","architecture certifications"],"datePosted":"2026-03-09T16:51:22.857Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"enterprise data architecture, system data integration, data engineering, analytics, modern data architectures, Data Mesh/ Data Fabric/ Data lake / data warehouse architectures, Modern Data Architecture design principles, Batch and streaming data integration patterns, Data Platform, DevOps, deployment and security architectures, Analytics and AI enablement architectures, cloud data platforms, Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric, SQL, relational databases, Postgres, SQL Server, Oracle, NoSQL databases, Cosmos DB, MongoDB, InfluxDB, API-based and event-driven architectures, data migration programmes, data pipelines, orchestration, automation, CI/CD concepts, production-grade deployments, distributed systems, Docker, Kubernetes, data management and governance principles, data quality, metadata, lineage, master data management, data management software and tools, security, access control, compliance considerations, Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience, advanced analytics, AI / ML or GenAI, streaming platforms, Kafka, Azure Event Hubs, data governance or metadata tools, cloud, data, architecture certifications"},{"@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. 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Please submit your CV, cover letter, and any relevant projects or portfolios you have worked on.</p>\n<p>We are an equal opportunities employer and welcome applications from all qualified candidates. 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Our total rewards include both monetary and non-monetary offerings.</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_41e8b744-cdb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/moreira/senior-process-operations-specialist/44408/92378400880","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"employee","x-salary-range":null,"x-skills-required":["MSc degree in a quantitative discipline","formal Continuous Improvement frameworks","Formal Project Management","PPM Portfolio and Project Management tools","excellent written and verbal English communication skills","proven ability to craft actionable messaging","7+ years of relevant experience in Continuous Improvement and/or Project Management"],"x-skills-preferred":["computer science","engineering","mathematics","economics","ITIL","PMP","PRINCE2","CSM","Clarity"],"datePosted":"2026-03-08T22:18:21.358Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Moreira, Porto, Portugal"}},"occupationalCategory":"Engineering","industry":"Technology","skills":"MSc degree in a quantitative discipline, formal Continuous Improvement frameworks, Formal Project Management, PPM Portfolio and Project Management tools, excellent written and verbal English communication skills, proven ability to craft actionable messaging, 7+ years of relevant experience in Continuous Improvement and/or Project Management, computer science, engineering, mathematics, economics, ITIL, PMP, PRINCE2, CSM, Clarity"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c29dbc40-9e1"},"title":"Advertising Marketing Science Lead","description":"<p><strong>Compensation</strong></p>\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 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. 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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. Measure the success each month and apply a growth mindset for future opportunities.</li>\n<li>Improvement, Efficiency, and Innovation: You will drive the implementation of methods that create systematic and scalable efficiencies in core work related to analytics and reporting that are reusable and work with tooling PMs to enable scalable efficiencies, readily discoverable insights and self-service that are directed towards meaningful interpretation of data that drives impactful business decisions across teams.</li>\n<li>Collaboration: You will leverage working relationships within and across internal and client teams to ensure data sources, methodologies and models are high-quality, that analytical tools and processes are appropriately leveraged and that recommendations to clients are data-driven and industry-relevant to consistently drive positive impact as you proactively engage internal and external stakeholders to identify and act on opportunities to leverage resources and 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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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.</p>\n<p><strong>About the Role</strong></p>\n<p>We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions — from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands-on engineering role that blends scientific rigor (measurement &amp; validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines).</p>\n<p><strong>This role is based in San Francisco, CA. This role will require 4 days in the office per week and offer relocation assistance to new employees.</strong></p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Define and operationalize realism metrics &amp; protocols. Design experiments and automated tests to find specific areas of non-realism, quantify gaps, and track regressions over time.</li>\n</ul>\n<ul>\n<li>Fine-tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality.</li>\n</ul>\n<ul>\n<li>Evaluate, integrate, and — where necessary — extend 3rd-party physics, rendering, and sensor simulation engines (e.g., Isaac, PhysX, MuJoCo, video renderers or sensor sim frameworks). Lead vendor POCs and benchmark features to influence roadmaps.</li>\n</ul>\n<ul>\n<li>Create standards, guidelines, and interactive tools for authoring and validating asset physical/visual properties; implement semi- or fully-automated pipelines to tune and optimize assets for target engines.</li>\n</ul>\n<ul>\n<li>Solve technical issues for running engines in the cloud (OS, drivers, GPU), parallelize simulations (batching many runs per engine instance), and harden real-world-facing pipelines so sims can run reliably at scale.</li>\n</ul>\n<ul>\n<li>Own validation campaigns (teleop, HIL regression suites, metric computation) and partner with research to close the loop between simulation improvements and downstream model performance.</li>\n</ul>\n<ul>\n<li>Document and scale best practices. Produce ergonomic templates, docs, and standards so dozens of engineers and researchers can author realistic tasks and assets quickly.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a strong mathematical &amp; physics background — rigid/soft-body dynamics, contact mechanics, or FEA — and are comfortable reasoning about solvers and numerical stability.</li>\n</ul>\n<ul>\n<li>Have hands-on experience with at least one or two production physics engines and sensor/render stacks (MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, or equivalent), and know how to measure/interpret their failure modes.</li>\n</ul>\n<ul>\n<li>Enjoy plumbing every layer of the sim stack: CAD/asset import, collision/visual mesh tradeoffs, contact tuning, real-time loading, and rendering pipelines.</li>\n</ul>\n<ul>\n<li>Have led projects that bridge sim and robotics, such as teleoperation data collection, hardware-in-the-loop regression tests, or digital twin efforts.</li>\n</ul>\n<ul>\n<li>Experienced building robust tools and processes — CI for sims, asset validation pipelines, or distributed GPU workloads — and care about documentation and ergonomics that let others be productive.</li>\n</ul>\n<ul>\n<li>Can collaborate broadly: you want to work directly with researchers to design experiments, with SWE/RE to ship tooling, and with vendors to run benchmarks and influence product roadmaps.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is a technology company focused on developing and applying artificial intelligence (AI) to various domains, including robotics and simulation. Our mission is to ensure that AI benefits humanity, and we are committed to advancing the state of the art in AI research and development.</p>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and talented individual who is passionate about simulation and robotics, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your skills and experience. We look forward to reviewing your application and discussing this opportunity further.</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_3a290e7c-1e1","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/e2e59dcf-1017-45c5-8e6e-509a5812959b","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $385K","x-skills-required":["Simulation","Robotics","Physics","Mathematics","Programming","Software Development","Cloud Computing","GPU","Machine Learning","Artificial Intelligence"],"x-skills-preferred":["MuJoCo","PhysX","Isaac Sim","Newton","GPU renderers","Sensor sim frameworks","CAD/asset import","Collision/visual mesh tradeoffs","Contact tuning","Real-time loading","Rendering pipelines"],"datePosted":"2026-03-06T18:42:04.998Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Simulation, Robotics, Physics, Mathematics, Programming, Software Development, Cloud Computing, GPU, Machine Learning, Artificial Intelligence, MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, Sensor sim frameworks, CAD/asset import, Collision/visual mesh tradeoffs, Contact tuning, Real-time loading, Rendering pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b220ac50-0a0"},"title":"Technical Abuse Investigator","description":"<p><strong>Location</strong></p>\n<p>San Francisco; New York City; Remote - US</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Intelligence &amp; Investigations</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$198K – $220K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.</p>\n<p>The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. This role combines traditional investigative judgment with strong technical fluency: much of the work involves navigating complex datasets to surface actionable abuse signals, not just reviewing individual reports.</p>\n<p>In addition to conducting investigations directly, this role is explicitly designed to act as a force multiplier for the broader investigations team. You will be scaling or automating highly manual, important and nuanced processes. You will design and implement lightweight technical solutions—such as notebook templates, data pipelines or internal utilities—that enable specialized investigators to identify, track, and action abuse at a greater scale than a single investigator can currently achieve. Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.</p>\n<p>You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.</p>\n<p>This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. This role will work <strong>PST</strong> and is open to remote work within the United States, though we heavily prefer candidates based in San Francisco or New York.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets.</li>\n</ul>\n<ul>\n<li>Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.</li>\n</ul>\n<ul>\n<li>Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.</li>\n</ul>\n<ul>\n<li>Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.</li>\n</ul>\n<ul>\n<li>Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries</li>\n</ul>\n<ul>\n<li>Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership.</li>\n</ul>\n<ul>\n<li>Be someone people enjoy working with.</li>\n</ul>\n<ul>\n<li>Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a strong background in computer science, software engineering, or a related field.</li>\n<li>Have experience with data analysis, machine learning, or other technical skills relevant to the role.</li>\n<li>Are able to work effectively in a fast-paced, dynamic environment.</li>\n<li>Are able to communicate complex technical information to non-technical stakeholders.</li>\n<li>Are able to work independently and as part of a team.</li>\n<li>Are able to adapt to changing priorities and deadlines.</li>\n<li>Are able to maintain confidentiality and handle sensitive information.</li>\n<li>Are able to work in a remote environment.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b220ac50-0a0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/492ffc24-6b6e-4aa0-b31c-2a29a550b086","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$198K – $220K","x-skills-required":["computer science","software engineering","data analysis","machine learning","technical skills","investigative judgment","complex datasets","abuse signals","investigative methods","lightweight technical solutions","SQL","Python","data pipelines","investigation templates","dashboards","internal utilities","data systems","enforcement mechanisms","engineering","data teams","investigative tooling","data quality","workflows","written briefs","data-backed recommendations","escalation summaries","incident response","rapid threat triaging","investigation","mitigation","sound judgement","concise briefing","senior leadership","team dynamics","high-pressure environments"],"x-skills-preferred":["artificial intelligence","natural language processing","computer vision","deep learning","neural networks","data science","statistics","probability","mathematics","algorithm design","software development","testing","debugging","version control","agile development","scrum","kanban","project management","team leadership","communication","public speaking","writing","editing","proofreading"],"datePosted":"2026-03-06T18:40:49.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; 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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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Flexibility to face different challenges is required.</p>\n<p><strong>Education &amp; Experience</strong></p>\n<ul>\n<li>Bachelor’s degree or higher in computer science, engineering, or similar discipline</li>\n<li>Three to five years of experience in software development</li>\n</ul>\n<p><strong>General Skills</strong></p>\n<ul>\n<li>Proactive and capable of working with little guidance</li>\n<li>Good problem-solving skills</li>\n<li>Good team player</li>\n<li>Excellent oral and written English communication</li>\n</ul>\n<p><strong>Required Skills</strong></p>\n<ul>\n<li>Strong Object-Oriented Programming knowledge and experience</li>\n<li>Experience in back-end software development (solver)</li>\n<li>Experience with .NET Framework (C#, C++, VB.NET)</li>\n<li>Understanding and experience with modeling of mechanical systems</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Strong background in mathematics and physics</li>\n<li>Strong vehicle dynamics knowledge</li>\n<li>Experience with Matlab, Simulink, Python, etc.</li>\n<li>Experience with the tools we currently use: Visual Studio, Jira, Git/version control, TeamCity, Freshdesk, Licensing Software, etc.</li>\n<li>Proficiency in one of the following languages would be an additional asset: Chinese, French, German, Japanese, Portuguese, or Spanish</li>\n</ul>\n<p>Starting salary will be commensurate with experience and is negotiable.</p>\n<p>OptimumG also provides medical and life insurance as well as a retirement fund contribution.</p>\n<p><strong>To apply, please send an email to jobs@optimumg.com</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bce3ed6a-f86","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OptimumG","sameAs":"https://optimumg.com","logo":"https://logos.yubhub.co/optimumg.com.png"},"x-apply-url":"https://optimumg.com/careers/back-end-software-developer?","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"Starting salary will be commensurate with experience and is negotiable.","x-skills-required":["Strong Object-Oriented Programming knowledge and experience","Experience in back-end software development (solver)","Experience with .NET Framework (C#, C++, VB.NET)","Understanding and experience with modeling of mechanical systems"],"x-skills-preferred":["Strong background in mathematics and physics","Strong vehicle dynamics knowledge","Experience with Matlab, Simulink, Python, etc.","Experience with the tools we currently use: Visual Studio, Jira, Git/version control, TeamCity, Freshdesk, Licensing Software, etc.","Proficiency in one of the following languages would be an additional asset: Chinese, French, German, Japanese, Portuguese, or Spanish"],"datePosted":"2026-03-06T14:10:11.856Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong Object-Oriented Programming knowledge and experience, Experience in back-end software development (solver), Experience with .NET Framework (C#, C++, VB.NET), Understanding and experience with modeling of mechanical systems, Strong background in mathematics and physics, Strong vehicle dynamics knowledge, Experience with Matlab, Simulink, Python, etc., Experience with the tools we currently use: Visual Studio, Jira, Git/version control, TeamCity, Freshdesk, Licensing Software, etc., Proficiency in one of the following languages would be an additional asset: Chinese, French, German, Japanese, Portuguese, or Spanish"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_eefd611a-612"},"title":"Senior Analytical Lead","description":"<p><strong>Summary</strong></p>\n<p>Microsoft Advertising are looking for a talented Senior Analytical Lead at their Los Angeles office. 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You will be energized by collaboration and continually raise the bar with world-class analytics experiences.</p>\n<p><strong>Accountabilities</strong></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</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>6+ years 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</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Excellent analytical, problem-solving and partner management skills.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_eefd611a-612","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft Advertising","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-analytical-lead-4/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["statistics","mathematics","analytics","data science","engineering","computer science","marketing","business","data analysis and reporting","business intelligence","business and financial analysis"],"x-skills-preferred":["PowerBI","Tableau","DAX","R","SQL"],"datePosted":"2026-03-06T07:33:50.695Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, PowerBI, Tableau, DAX, R, SQL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d0199ea-dce"},"title":"Advertising Analytical Lead","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for an Advertising Analytical Lead to join their team in Tokyo. This role involves generating insights and recommendations that directly benefit clients, enhancing their business performance and opening up new investment avenues on the Microsoft Advertising platform.</p>\n<p><strong>About the Role</strong></p>\n<p>As an Advertising Analytical Lead, you will synthesise industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualisations and narrative techniques. You will work within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company&#39;s quarterly strategic planning sessions</li>\n<li>Leverage appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>6+ years 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</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualisation on large datasets</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\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</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional development and growth</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5d0199ea-dce","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/advertising-analytical-lead-japan/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["statistics","mathematics","analytics","data science","engineering","computer science","marketing","business","data analysis and reporting","business intelligence","business and financial analysis"],"x-skills-preferred":["PowerBI","Tableau","DAX","R","SQL"],"datePosted":"2026-03-06T07:32:13.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, PowerBI, Tableau, DAX, R, SQL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dcf5b288-f71"},"title":"Principal Product Manager, Foundational AI Research","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Product Manager, Foundational AI Research at their Zürich office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the field of AI research. You&#39;ll work directly with leadership to shape the company&#39;s direction in the development of foundational AI models.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Product Manager, Foundational AI Research, you will be advancing the next generation of LLM models working on either (1) pre-training and post-training data and evaluations, (2) training infrastructure, or (3) API and Platform. 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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI-powered web search. You&#39;ll work directly with leadership to shape the company&#39;s direction in the online experimentation and search markets.</p>\n<p><strong>About the Role</strong></p>\n<p>The Bing organization is looking for a Principal Data and Applied Scientist for its online metric team. The team is pushing the boundaries of online A/B experimentation capabilities and impact measurement 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. 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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising digital advertising technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the digital advertising market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Analytical Lead, 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. 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