{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/experiments"},"x-facet":{"type":"skill","slug":"experiments","display":"Experiments","count":33},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_56e29c57-cd1"},"title":"Robotics Technician","description":"<p>We&#39;re seeking a Robotics Technician to join our team in Mexico City. As a key contributor, you will partner with cross-functional stakeholders to bring up new robots and productionize the maintenance of robots and collection hardware. You will play a critical role in supporting the day-to-day operations of the factory by bringing up and maintaining robots and collection hardware. You will also provide technical support for data collection operations, manage physical inventory, maintain equipment, and coordinate logistics.</p>\n<p>You will become a subject matter expert on all capabilities of the robotics platforms deployed in the factory. You will develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision, and other autonomy-adjacent concepts.</p>\n<p>You have a Bachelor&#39;s degree or industry experience, an engineering background, preferably in Computer Science, Mathematics, or other Engineering fields. You have 2+ years of experience developing with Python, C++, Java, and/or other scripting languages. You have 1-3 years of experience in hardware labs or a manufacturing environment. You have experience managing risk and operating robots safely. You have strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership. You have a high level of comfort communicating effectively across internal and external organizations.</p>\n<p>Nice to have: hands-on experience in Robotics, AI, and/or Computer Vision, intellectual curiosity, empathy, and ability to operate with a high degree of autonomy, experience building and/or maintaining lab networks and data pipelines, experience running large-scale data collection and controlled experiments, experience building out facilities, and experience in logistics.</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_56e29c57-cd1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4635128005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","C++","Java","Robotics","AI","Computer Vision","Multi-sensor fusion and calibration","GPS/INS navigation systems"],"x-skills-preferred":["hands-on experience in Robotics, AI, and/or Computer Vision","intellectual curiosity","empathy","ability to operate with a high degree of autonomy","experience building and/or maintaining lab networks and data pipelines","experience running large-scale data collection and controlled experiments","experience building out facilities","experience in logistics"],"datePosted":"2026-04-18T16:00:01.904Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, Java, Robotics, AI, Computer Vision, Multi-sensor fusion and calibration, GPS/INS navigation systems, hands-on experience in Robotics, AI, and/or Computer Vision, intellectual curiosity, empathy, ability to operate with a high degree of autonomy, experience building and/or maintaining lab networks and data pipelines, experience running large-scale data collection and controlled experiments, experience building out facilities, experience in logistics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1be4c11-417"},"title":"Senior Research Scientist, Reward Models","description":"<p>As a Senior Research Scientist on our Reward Models team, you&#39;ll lead research efforts to improve how we specify and learn human preferences at scale. Your work will directly shape how our models understand and optimize for what humans actually want , enabling Claude to be more useful, more reliable, and better aligned with human values.</p>\n<p>This role focuses on pushing the frontier of reward modeling for large language models. You&#39;ll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking. You&#39;ll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.</p>\n<p>We&#39;re looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You&#39;ll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources. 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This isn&#39;t a &#39;maintain what&#39;s working&#39; role , it&#39;s a &#39;figure out what works, then scale it&#39; role. If you want to own the full arc from idea to impact, and work on a product that creators actually use, this is it.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Generous healthcare package</li>\n</ul>\n<ul>\n<li>401k matching programme</li>\n</ul>\n<ul>\n<li>Catered lunches</li>\n</ul>\n<ul>\n<li>Flexible vacation time</li>\n</ul>\n<p><strong>Fun fact about me: I love pineapple on pizza.</strong></p>\n<p>I am excited to apply for the Senior Software Engineer, Growth position at Descript. With my passion for building scalable systems and my experience in running A/B tests and product experiments, I believe I would be a great fit for this role. I am looking forward to discussing my application and how I can contribute to the growth of Descript.</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_9b424955-5e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Descript","sameAs":"https://descript.com/","logo":"https://logos.yubhub.co/descript.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/descript/jobs/7683752003","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$245,000/year","x-skills-required":["TypeScript","JavaScript","React","HTML","CSS","REST APIs","performance optimisation","A/B testing","product experiments"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:32.186Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TypeScript, JavaScript, React, HTML, CSS, REST APIs, performance optimisation, A/B testing, product experiments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":245000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_69596d11-8ad"},"title":"Field Engineer","description":"<p>Anduril Industries is seeking a Field Engineer to join the Imaging team. The successful candidate will be responsible for integrating and testing EO/IR cameras at customer facilities. This will involve integrating sensors onto aircraft, performing health and status checkouts, managing safety standards and best practices around flight lines, and debugging issues as needed.</p>\n<p>The Field Engineer will also be responsible for testing and debugging sensors that are in the build and characterization phase of production. They will work closely with the engineering team to identify and troubleshoot system hardware and software issues.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Planning, leading, and managing the integration and testing of high-performance imaging systems from first build through field deployment.</li>\n<li>Travelling to test sites and working with internal and external stakeholders.</li>\n<li>Performing hands-on integration of the electrical, firmware, mechanical, and software components of the system and providing feedback to the engineering team.</li>\n<li>Identifying and troubleshooting system hardware and software issues.</li>\n<li>Managing prototyping lab facility and activities, including test hardware, test processes, and procedures.</li>\n</ul>\n<p>The ideal candidate will have a strong background in system design and development, with experience in laboratory skills, such as design of experiments. They will also have a degree in a relevant technical discipline and be able to work independently with minimal oversight in a fast-paced, dynamic environment.</p>\n<p>Preferred qualifications include experience with advanced sensing domain, image processing techniques, and analytical toolchains/languages, such as MATLAB, Python, or C++.</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_69596d11-8ad","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5105245007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$146,000-$194,000 USD","x-skills-required":["System design and development","Laboratory skills","Design of experiments","Electrical engineering","Optical engineering","Mechanical engineering","Thermal management"],"x-skills-preferred":["Advanced sensing domain","Image processing techniques","Analytical toolchains/languages","MATLAB","Python","C++"],"datePosted":"2026-04-18T15:57:27.700Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lexington, Massachusetts, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"System design and development, Laboratory skills, Design of experiments, Electrical engineering, Optical engineering, Mechanical engineering, Thermal management, Advanced sensing domain, Image processing techniques, Analytical toolchains/languages, MATLAB, Python, C++","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":146000,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca38c08d-e8f"},"title":"Staff Data Scientist - Marketing Analytics","description":"<p>Join us to build the measurement and decision engine for patient growth.</p>\n<p>As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. 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Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.</li>\n</ul>\n<ul>\n<li>Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.</li>\n</ul>\n<ul>\n<li>Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.</li>\n</ul>\n<ul>\n<li>Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.</li>\n</ul>\n<ul>\n<li>Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.</li>\n</ul>\n<p>What will make you successful:</p>\n<ul>\n<li>10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).</li>\n</ul>\n<ul>\n<li>Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.</li>\n</ul>\n<ul>\n<li>Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.</li>\n</ul>\n<ul>\n<li>Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.</li>\n</ul>\n<ul>\n<li>Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.</li>\n</ul>\n<ul>\n<li>Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.</li>\n</ul>\n<ul>\n<li>High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.</li>\n</ul>\n<ul>\n<li>You are motivated by the mission. 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You&#39;re a pro at using data to create and iterate on user experiences that marry user needs and measurable business impact.</p>\n<p>Designers who do well here aren&#39;t afraid of ambiguity and have a knack for navigating it collaboratively. Join us to help build the future of creative tools.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Play a vital role on our growth team, driving design decisions and shaping strategy Take an experimental approach to solving problems that matter to our users and business Use data to optimize user experiences for impact Balance the need for speed with a high bar for craft, eye for detail, and deep empathy for users Own your design process from concept through to execution Bring clarity to problems that are broad and ambiguous in scope through structured thinking and effective communication Collaborate deeply with diverse stakeholders (product management, engineers, designers, executives) Advocate for what you think is right, know when to disagree and commit Contribute to the definition and expansion of our design system and culture</p>\n<p><strong>Requirements</strong></p>\n<p>5+ years as a designer, the majority of it spent in product A portfolio demonstrating your ability to handle complexity and create compelling, data-informed user experiences that convert Data fluency and past success working on growth experiments Exceptional interaction and visual design skills Experience on a fast-growing team Ability to work through ambiguity and create clarity, quickly Clear, direct communication Self-direction, you own your own work and deliver on your commitments Crit skills,know how to give and receive feedback well AI literacy,you don&#39;t have to be AI-pilled, but it&#39;s a growing part of how we work here At least 2 of the following stand-out skills</p>\n<p><strong>Stand-out skills</strong></p>\n<p>Past work building and/or working on a creation tool (e.g., word processor, design tool, audio or video editing tool) Experience building or working on a mature design system Expertise in accessibility Comfort with designer-led user research An interest in Vibe coding (or, hey, code coding) for prototyping Finding new tools and processes to improve the design process UI animation skills Experience designing for AI/ML-powered projects</p>\n<p>The base salary range for this role is $150,000-$215,000. 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Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.</p>\n<p>You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise</li>\n</ul>\n<ul>\n<li>Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design</li>\n</ul>\n<ul>\n<li>Analyze, visualize, and communicate results to support team efforts in improving models and data</li>\n</ul>\n<ul>\n<li>Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production</li>\n</ul>\n<ul>\n<li>Work with biologists to collect data for the training and evaluation of generative models of biomolecules</li>\n</ul>\n<ul>\n<li>Provide mentorship and technical direction to team members as appropriate</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>3+ years of hands-on experience developing ML models</li>\n</ul>\n<ul>\n<li>Demonstrated track record of implementing, training, improving advanced machine learning models</li>\n</ul>\n<ul>\n<li>Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework</li>\n</ul>\n<ul>\n<li>Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET</li>\n</ul>\n<ul>\n<li>Readiness to travel several times a year for company retreats and business events</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>$200K – $275K + Bonus + Equity</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>A competitive compensation package</li>\n</ul>\n<ul>\n<li>30 days paid vacation per year</li>\n</ul>\n<ul>\n<li>Comprehensive health insurance for US based employees</li>\n</ul>\n<ul>\n<li>401K with company match for US based employees and Direktversicherung for German employees</li>\n</ul>\n<ul>\n<li>Quarterly company-wide retreats</li>\n</ul>\n<ul>\n<li>Monthly wellness benefit</li>\n</ul>\n<ul>\n<li>Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland</li>\n</ul>\n<ul>\n<li>Learning &amp; Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning &amp; Development platform EdX and Hone</li>\n</ul>\n<ul>\n<li>A buddy to help you get settled</li>\n</ul>\n<p>At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. 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You&#39;ll own the creative direction for areas like acquisition, global expansion, experimentation, and our annual customer event, Sessions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Manage and grow a high-performing design team, with a focus on feedback, coaching, and long-term career development</li>\n<li>Inspire and motivate the team to do their best work while creating a clear design vision that aligns with Stripe&#39;s goals</li>\n<li>Craft novel moments of storytelling and delight for our web presence and uphold our quality standards</li>\n<li>Balance growth with putting users first while upholding a very high quality bar</li>\n<li>Champion curiosity and adoption of new AI tools and the evolving our ways of working</li>\n<li>Understanding global needs and design systems, including knowing when to stick to the system vs when it&#39;s okay to break away from it</li>\n<li>Often work on very broadly defined, loose concepts, and sometimes on narrowly defined, tactical deliverables</li>\n<li>Advocate for design excellence at every stage of the product lifecycle, balancing speed, quality, and bold experimentation</li>\n<li>Work with other design specialists and managers on team-wide initiatives, like recruiting and developing content standards</li>\n<li>Influence strategic decisions across all the corners of our web presence</li>\n<li>Partner with marketing, comms, growth, and Link teams to define information architecture and tell the right stories</li>\n<li>Work closely with the team to help scale our design systems, devise generative art directions, propose web animations, and distill interaction-heavy product launch materials on sites such as stripe.com</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>6 years+ of creative direction and management experience, and 9+ years of relevant experience in strategy, information architecture, web design and creative technology experience at digital native agencies, and/or tech-forward, product-driven companies.</li>\n<li>Leadership in driving strategic thinking for impactful digital experiences</li>\n<li>Conviction in the web as a storytelling medium, demonstrable through a portfolio of design systems, engaging microsites, Figma libraries, WebGL experiments, CSS art, or anything else,you tell us</li>\n<li>Expert understanding of the formal elements of design, not just limited to the web but including typography, layout, balance, and proportion</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Sufficiently advanced knowledge of modern HTML and CSS to empathise with and lead the designers and design engineers crafting our web presence</li>\n<li>A tenacity for moving quickly on new, green-field projects while steadfastly delivering on long-term roadmaps</li>\n<li>Experience at a company with global scale, expanding to new markets, leading localization strategy and integrating with l10n.</li>\n<li>Accountability and a high bar when working with production systems</li>\n<li>A demonstrable ability to communicate your front-end or information architecture designs using documentation and crisp visualisation</li>\n<li>Intuition and empathy to gather consensus amongst different stakeholders and subject matter experts</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<p>We&#39;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you 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_975ae79d-831","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7241636","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["creative direction","management experience","strategy","information architecture","web design","creative technology","digital native agencies","tech-forward","product-driven companies","leadership","strategic thinking","digital experiences","conviction","web as a storytelling medium","design systems","engaging microsites","Figma libraries","WebGL experiments","CSS art","expert understanding","formal elements of design","typography","layout","balance","proportion"],"x-skills-preferred":["modern HTML","CSS","HTML/CSS","green-field projects","long-term roadmaps","global scale","localization strategy","l10n","accountability","high bar","production systems","communication","documentation","crisp visualisation","intuition","empathy","stakeholders","subject matter experts"],"datePosted":"2026-04-18T15:50:00.202Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US / Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"creative direction, management experience, strategy, information architecture, web design, creative technology, digital native agencies, tech-forward, product-driven companies, leadership, strategic thinking, digital experiences, conviction, web as a storytelling medium, design systems, engaging microsites, Figma libraries, WebGL experiments, CSS art, expert understanding, formal elements of design, typography, layout, balance, proportion, modern HTML, CSS, HTML/CSS, green-field projects, long-term roadmaps, global scale, localization strategy, l10n, accountability, high bar, production systems, communication, documentation, crisp visualisation, intuition, empathy, stakeholders, subject matter experts"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc6154f8-cff"},"title":"Research Engineer, Pretraining Scaling - London","description":"<p>About Anthropic\\n\\nAnthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems.\\n\\nAbout the Role:\\n\\nAs a Research Engineer on Anthropic&#39;s ML Performance and Scaling team, you&#39;ll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.\\n\\nResponsibilities:\\n\\n- Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability\\n- Debug and resolve complex issues across the full stack,from hardware errors and networking to training dynamics and evaluation infrastructure\\n- Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance\\n- Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams\\n- Build and maintain production logging, monitoring dashboards, and evaluation infrastructure\\n- Add new capabilities to the training codebase, such as long context support or novel architectures\\n- Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams\\n- Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned\\n\\nYou May Be a Good Fit If You:\\n\\n- Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems\\n- Genuinely enjoy both research and engineering work,you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other\\n- Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure\\n- Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs\\n- Excel at debugging complex, ambiguous problems across multiple layers of the stack\\n- Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents\\n- Are passionate about the work itself and want to refine your craft as a research engineer\\n- Care about the societal impacts of AI and responsible scaling\\n\\nStrong Candidates May Also Have:\\n\\n- Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale\\n- Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)\\n- Published research on model training, scaling laws, or ML systems\\n- Experience with production ML systems, observability tools, or evaluation infrastructure\\n- Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence\\n\\nWhat Makes This Role Unique:\\n\\nThis is not a typical research engineering role. The work is highly operational,you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.\\n\\nHowever, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.\\n\\nWe&#39;re building a close-knit team of people who genuinely care about doing excellent work together. If you&#39;re someone who wants to be part of training the models that will define the future of AI,and you&#39;re excited about the full reality of what that entails,we&#39;d love to hear from you.\\n\\nLocation:\\n\\nThis role requires working in-office 5 days per week in London.\\n\\nDeadline to apply:\\n\\nNone. Applications will be reviewed on a rolling basis.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary:\\n\\n£260,000-£630,000 GBP\\n\\nLogistics\\n\\nMinimum education:\\n\\nBachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study:\\n\\nA field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience:\\n\\nYears of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-based hybrid policy:\\n\\nCurrently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\n\\nVisa sponsorship:\\n\\nWe do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.\\n\\nHow we&#39;re different\\n\\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.\\n\\n## Responsibilities:\\n\\n- Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability\\n- Debug and resolve complex issues across the full stack,from hardware errors and networking to training dynamics and evaluation infrastructure\\n- Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance\\n- Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams\\n- Build and maintain production logging, monitoring dashboards, and evaluation infrastructure\\n- Add new capabilities to the training codebase, such as long context support or novel architectures\\n- Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams\\n- Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned\\n\\n## You May Be a Good Fit If You:\\n\\n- Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems\\n- Genuinely enjoy both research and engineering work,you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other\\n- Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure\\n- Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs\\n- Excel at debugging complex, ambiguous problems across multiple layers of the stack\\n- Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents\\n- Are passionate about the work itself and want to refine your craft as a research engineer\\n- Care about the societal impacts of AI and responsible scaling\\n\\n## Strong Candidates May Also Have:\\n\\n- Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale\\n- Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)\\n- Published research on model training, scaling laws, or ML systems\\n- Experience with production ML systems, observability tools, or evaluation infrastructure\\n- Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence\\n\\n## What Makes This Role Unique:\\n\\nThis is not a typical research engineering role. The work is highly operational,you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.\\n\\nHowever, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.\\n\\nWe&#39;re building a close-knit team of people who genuinely care about doing excellent work together. If you&#39;re someone who wants to be part of training the models that will define the future of AI,and you&#39;re excited about the full reality of what that entails,we&#39;d love to hear from you.\\n\\nLocation: This role requires working in-office 5 days per week in San Francisco.\\n\\nDeadline to apply: None. Applications will be reviewed on a rolling basis.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $350,000-$850,000 USD\\n\\n## Logistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\n\\nVisa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.\\n\\n## How we&#39;re different\\n\\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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We do expect you to proactively and quickly adopt new technologies and systems, but we also invest a lot of time in training and helping people to continually learn as part of their role.</p>\n<p>About You</p>\n<p>In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>A passion for reinforcement learning</li>\n<li>A research track record in RL, including peer-reviewed publications.</li>\n<li>Strong implementation ability and comfort working in research codebases.</li>\n<li>Evidence of owning experiments end-to-end, including analysis and interpretation.</li>\n<li>Strong communication skills and a bias toward clarity and honesty regarding results.</li>\n<li>High agency and drive: You push projects forward, prioritize effectively, and take initiative.</li>\n<li>PhD in ML preferred, or equivalent practical experience.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Experience with RL for sequence models, post-training, preference-based learning, or agentic systems.</li>\n<li>Experience with modern research stacks (e.g., JAX/Flax or PyTorch) and scaling experiments.</li>\n<li>Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.</li>\n<li>Comfort with scaling, evaluation methodologies, and diagnosing complex failure modes.</li>\n<li>A focus on craft: You care about doing excellent work while maintaining a high velocity.</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_ad2a74b4-ccf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7716037","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Reinforcement Learning","Machine Learning","Artificial Intelligence","Research Codebases","Experimentation","Communication"],"x-skills-preferred":["RL for Sequence Models","Post-Training","Preference-Based Learning","Agentic Systems","Modern Research Stacks","Scaling Experiments"],"datePosted":"2026-03-16T14:40:01.638Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Reinforcement Learning, Machine Learning, Artificial Intelligence, Research Codebases, Experimentation, Communication, RL for Sequence Models, Post-Training, Preference-Based Learning, Agentic Systems, Modern Research Stacks, Scaling Experiments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f160b80e-77d"},"title":"eCommerce Data Analyst","description":"<p>We are seeking a highly analytical and impact-driven eCommerce Data Analyst to join our global eCommerce team. This role sits at the intersection of customer behavior, digital experience, and revenue performance, transforming data into actionable insights that drive growth across our websites.</p>\n<p>You will analyze full-funnel customer journeys across web, marketing, and CRM touchpoints, leveraging modern analytics platforms, cloud data warehouses, and A/B testing. The ideal candidate thrives in close collaboration with marketing, webstore, product, and engineering teams.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Leverage CDP and first-party data to build customer segments, cohorts, and lifecycle views, partnering with marketing and CRM teams to support audience activation, personalization, and campaign optimization.</li>\n<li>Conduct in-depth analysis of website traffic, user behavior, and eCommerce performance to identify trends, opportunities, and risks across the full customer funnel.</li>\n<li>Ideate, support, and analyze A/B and multivariate experiments, defining success metrics, interpreting results with statistical rigor, and recommending next steps based on business impact.</li>\n<li>Collaborate with cross-functional teams (marketing, webstore, product, and engineering) to develop and execute data-driven strategies for web and eCommerce initiatives.</li>\n<li>Define and document event tracking and measurement requirements aligned with business objectives, ensuring accurate and scalable data collection.</li>\n<li>Monitor and report on the effectiveness of promotional activities, marketing initiatives, and website performance, translating results into actionable insights.</li>\n<li>Build and maintain automated dashboards and self-service reporting, communicating insights through clear narratives, visualizations, and executive-ready summaries that proactively surface opportunities and risks.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>3+ years of experience in Commerce, web, or digital analytics</li>\n<li>Bachelor’s degree in Data Science, Statistics, Economics, Business Information Systems, or a related field.</li>\n<li>Proven experience analyzing consumer-facing digital products or eCommerce platforms.</li>\n<li>Strong understanding of eCommerce KPIs, digital marketing metrics, and customer lifecycle measurement.</li>\n<li>Must have hands-on experience with SQL, cloud data warehouse (e.g Snowflake), GA4, CDP (such as mParticle).</li>\n<li>Experience working with large, complex, and multi-source datasets.</li>\n<li>Excellent data visualization skills (Looker Studio, PowerBi) and ability to communicate complex insights effectively.</li>\n<li>Strong attention to detail and ability to manage multiple projects simultaneously.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience with AI-assisted analytics, forecasting, or anomaly detection.</li>\n<li>Knowledge of product analytics, personalization, or recommendation systems.</li>\n<li>Exposure to server-side tracking, event schemas, and data contracts.</li>\n<li>Experience working in global or multi-region eCommerce environments.</li>\n<li>AI-ecommerce experience</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_f160b80e-77d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Corsair","sameAs":"https://www.corsair.com/","logo":"https://logos.yubhub.co/corsair.com.png"},"x-apply-url":"https://edix.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/8662","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$75,000—$110,000 USD","x-skills-required":["SQL","cloud data warehouse","GA4","CDP","data visualization","data analysis","A/B testing","multivariate experiments"],"x-skills-preferred":["AI-assisted analytics","forecasting","anomaly detection","product analytics","personalization","recommendation systems","server-side tracking","event schemas","data contracts"],"datePosted":"2026-03-10T13:05:43.510Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milpitas, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, cloud data warehouse, GA4, CDP, data visualization, data analysis, A/B testing, multivariate experiments, AI-assisted analytics, forecasting, anomaly detection, product analytics, personalization, recommendation systems, server-side tracking, event schemas, data contracts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":75000,"maxValue":110000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_afb6e153-ae5"},"title":"Engineering Specialist - Quality/Process","description":"<p>As a Quality Process Engineer-VRT Lead, you will be a key contributor, reporting to the Quality Process Engineering Manager. In this dynamic role, you will spearhead critical assignments given by the Manufacturing Co-Lead for your dedicated Variability Reduction Team (VRT). Moreover, you will proactively collaborate with product development team members, ensuring you are at the forefront of identifying and resolving any emerging issues relevant to your VRT, driving enhanced quality and efficiency.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Primary Responsibilities</strong></p>\n<p>In this position, you will be responsible for:</p>\n<ul>\n<li>Understanding daily warranty claim reports by participating in binning meetings and leading to resolution working with a cross-functional team.</li>\n<li>Understanding Daily End of Line (EOL) &amp; Customer Acceptance Line (CAL) and First Time Through (FTT) inhibitors related to subsystem and driving containment and corrective action.</li>\n<li>Ensuring quality control management updates for subsystem are maintained and adjusted as outcome of External / Internal Indicator. Managing Heat maps for the subsystem to ensure all critical Workstations are identified for improvement opportunities.</li>\n<li>Conducting Control plan audits to ensure frequency, sampling to achieve Process capability on Key Critical Characteristics related to subsystem.</li>\n<li>Owning the Quality and the capability of the manufacturing processes within the Assembly department.</li>\n<li>Applying engineering principles and analytical techniques to drive continuous improvement to manufacturing processes as per the Ford Production System (FPS).</li>\n<li>Leading development of interim and permanent corrective actions to resolve quality issues using 8D methodology and structured problem-solving tools.</li>\n<li>Playing an integral role in the Launch Quality Operating System initiatives &amp; Launch process by establishing and monitoring quality target levels at the workstation level for each build phase to validate workstations readiness.</li>\n<li>Conducting process audits to ensure process adheres to Vehicle Operations guidelines and specific process standards in line with FPS.</li>\n<li>Acting as team leader in resolving assembly related concerns. Leading variability reduction and lean manufacturing initiatives and best practices.</li>\n<li>Supporting ISO 14001 compliance and supporting internal ISO auditing and compliance as required.</li>\n<li>Leading development of solutions for throughput constraints.</li>\n<li>Managing and directing statistical process control activities related to subsystem.</li>\n<li>Reviewing internal/external suppliers for critical characteristic process compatibility.</li>\n<li>Supporting efficiency planning to ensure workstations are properly set up with quality risks identified and addressed.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>Education</strong></p>\n<ul>\n<li>Bachelor’s degree in engineering, Technology or related discipline.</li>\n<li>Master’s degree in engineering or related discipline is an asset.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>Minimum 3 years of manufacturing experience in quality or technology.</li>\n<li>Previous leadership or supervisory experience in a manufacturing environment.</li>\n<li>Demonstrated working knowledge of or experience with:</li>\n<li>8D and 5Why corrective action and problem-solving</li>\n<li>Lean Tools – 5S, Kanban, Poka-yoke, and Value Stream Mapping</li>\n<li>Total Quality Management (TQM) and Kaizen Methods</li>\n<li>Visual Factory Management</li>\n<li>Microsoft Office (Word/Excel/Outlook)</li>\n<li>Experience using error proofing systems</li>\n<li>Failure Mode and Effects Analysis (FMEA), Production Part Approval Process (PPAP), and Design of Experiments (DOE)</li>\n<li>Factory Information System Management</li>\n<li>Quality Leadership System (QLS)</li>\n<li>Based Single Agenda for Quality (BSAQ)</li>\n<li>Web Based Data Management (WBDM</li>\n<li>Global System for Analytics and Reporting (GSAR</li>\n<li>Six Sigma Certification.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Models outstanding interpersonal, teambuilding, and communication skills.</li>\n<li>Able to think critically and troubleshoot to deliver industry leading quality</li>\n<li>Highly committed to process improvement and innovative solutions with a customer-first mindset.</li>\n<li>Demonstrates inclusion and values diversity.</li>\n<li>Perseverance and tenacity to drive results.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>The expected annual salary range for this position is $74,000.00 - $124,000.00 and individuals may be eligible to participate in our Annual Compensation bonus program.</li>\n<li>Successful candidates will be required to provide proof of degree completion for the highest level of education attained. If the degree was obtained from a school outside of Canada, an Education Credential Assessment report showing Canadian equivalency is also required.</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_afb6e153-ae5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford","sameAs":"https://efds.fa.em5.oraclecloud.com"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/59723","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$74,000.00 - $124,000.00","x-skills-required":["8D and 5Why corrective action and problem-solving","Lean Tools – 5S, Kanban, Poka-yoke, and Value Stream Mapping","Total Quality Management (TQM) and Kaizen Methods","Visual Factory Management","Microsoft Office (Word/Excel/Outlook)","Experience using error proofing systems","Failure Mode and Effects Analysis (FMEA), Production Part Approval Process (PPAP), and Design of Experiments (DOE)","Factory Information System Management","Quality Leadership System (QLS)","Based Single Agenda for Quality (BSAQ)","Web Based Data Management (WBDM","Global System for Analytics and Reporting (GSAR","Six Sigma Certification"],"x-skills-preferred":["Models outstanding interpersonal, teambuilding, and communication skills","Able to think critically and troubleshoot to deliver industry leading quality","Highly committed to process improvement and innovative solutions with a customer-first mindset","Demonstrates inclusion and values diversity","Perseverance and tenacity to drive results"],"datePosted":"2026-03-09T10:59:15.935Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oakville"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"8D and 5Why corrective action and problem-solving, Lean Tools – 5S, Kanban, Poka-yoke, and Value Stream Mapping, Total Quality Management (TQM) and Kaizen Methods, Visual Factory Management, Microsoft Office (Word/Excel/Outlook), Experience using error proofing systems, Failure Mode and Effects Analysis (FMEA), Production Part Approval Process (PPAP), and Design of Experiments (DOE), Factory Information System Management, Quality Leadership System (QLS), Based Single Agenda for Quality (BSAQ), Web Based Data Management (WBDM, Global System for Analytics and Reporting (GSAR, Six Sigma Certification, Models outstanding interpersonal, teambuilding, and communication skills, Able to think critically and troubleshoot to deliver industry leading quality, Highly committed to process improvement and innovative solutions with a customer-first mindset, Demonstrates inclusion and values diversity, Perseverance and tenacity to drive results","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":74000,"maxValue":124000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8b4b0205-8c6"},"title":"Senior Product Manager","description":"<p>Your job is to lead Copilot on Mac, shaping the future of AI-powered productivity on macOS. In close partnership with Microsoft AI (MAI) teams, engineering, design, and growth, you will define and deliver the Copilot Mac experience—driving parity, elevating native macOS integration, and unlocking new AI journeys tailored for Mac users.</p>\n<p>Responsibilities:</p>\n<p>Define and drive the product roadmap for Copilot on Mac, aligning with Microsoft AI (MAI) vision and cross-surface priorities.</p>\n<p>Deliver full feature parity with other Copilot surfaces while elevating native Mac experiences and OS-level integration.</p>\n<p>Identify and prioritize user pain points through data, research, and experimentation to improve engagement, retention, and monetization.</p>\n<p>Partner closely with Engineering, Design, Data, Growth, and cross-functional AI platform teams to ship high-quality features at speed.</p>\n<p>Lead end-to-end product execution: write clear PRDs, define success metrics, manage trade-offs, and ensure timely delivery.</p>\n<p>Drive experimentation (A/B testing, flighting) and leverage insights to continuously optimize user journeys.</p>\n<p>Champion macOS-native innovation, including deep OS integrations and differentiated AI experiences.</p>\n<p>Build scalable processes to enable cross-squad collaboration and position Copilot Mac as a first-class platform.</p>\n<p>Qualifications:</p>\n<p>Bachelor’s Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.</p>\n<p>5+ years of product management experience, preferably in consumer software, AI-powered products, or platform ecosystems.</p>\n<p>Proven track record of shipping complex, cross-functional features from concept to launch.</p>\n<p>Solid understanding of AI-powered product experiences and their application in real-world user workflows.</p>\n<p>Experience working closely with engineering teams and understanding technical architecture, APIs, and system constraints.</p>\n<p>Data-driven mindset with experience defining KPIs and running experiments.</p>\n<p>Excellent communication skills with the ability to influence stakeholders across disciplines.</p>\n<p>Strong user empathy and product intuition, with attention to UX quality and detail.</p>\n<p>Ability to thrive in a fast-paced, ambiguous environment and drive clarity across teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8b4b0205-8c6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-product-manager-8/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","AI-powered products","cross-functional features","technical architecture","APIs","system constraints","data-driven mindset","KPIs","experiments","communication skills","user empathy","product intuition","UX quality","detail"],"x-skills-preferred":["macOS","native integration","OS-level integration","AI experiences","cross-squad collaboration","scalable processes"],"datePosted":"2026-03-08T22:19:57.734Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Suzhou"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, AI-powered products, cross-functional features, technical architecture, APIs, system constraints, data-driven mindset, KPIs, experiments, communication skills, user empathy, product intuition, UX quality, detail, macOS, native integration, OS-level integration, AI experiences, cross-squad collaboration, scalable processes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_37ab14e1-164"},"title":"Senior Applied Scientist","description":"<p><strong>Overview</strong></p>\n<p>Microsoft is advancing its position in the digital advertising market by building a state-of-the-art online advertising platform and services. Our team is at the forefront of innovation, leveraging cutting-edge AIGC and LLM to empower advertisers for demand growth and enhance user experience. This includes visual content optimization and generation.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Pioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.</li>\n<li>Optimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.</li>\n<li>Lead the data collection, model training, evaluation, and deployment of advanced image processing and generation algorithms.</li>\n<li>Analyze system performance and identify opportunities based on data analysis and online experiments.</li>\n<li>Collaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>4+ years of industry experience with a focus on computer vision, image/video generation, and editing.</li>\n<li>Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g., diffusion/AR models and distillation, VAEs, etc.).</li>\n<li>Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.</li>\n<li>Proactive communication skills, with the ability to collaborate effectively across algo, product, and engineer teams.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Master&#39;s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n<li>5+ years of industry experience with a focus on computer vision, image/video generation, and editing.</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_37ab14e1-164","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-31/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AIGC","VLM","SOTA technologies","frameworks","image processing","generation algorithms","data analysis","online experiments","cross-functional teams","product manager","engineering","research"],"x-skills-preferred":["diffusion/AR models and distillation","VAEs","computer vision","image/video generation","editing"],"datePosted":"2026-03-08T22:17:40.733Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Multiple Locations"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AIGC, VLM, SOTA technologies, frameworks, image processing, generation algorithms, data analysis, online experiments, cross-functional teams, product manager, engineering, research, diffusion/AR models and distillation, VAEs, computer vision, image/video generation, editing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd8c3fa1-00e"},"title":"Senior Applied Scientist","description":"<p>Microsoft is aggressively advancing its position in the digital advertising market by building a state-of-the-art online advertising platform and services. Our team is at the forefront of innovation, leveraging cutting-edge AIGC and LLM to empower advertisers for demand growth and enhance user experience. This includes visual content optimization and generation. We are seeking passionate scientists and engineers to join this world-class team, solve challenging problems, and deliver products that provide value to hundreds of millions of users and advertisers, driving direct, measurable impact on our global business.</p>\n<p>Responsibilities:</p>\n<p>Pioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.</p>\n<p>Optimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.</p>\n<p>Lead the data collection, model training, evaluation, and deployment of advanced image processing and generation algorithms.</p>\n<p>Analyse system performance and identify opportunities based on data analysis and online experiments.</p>\n<p>Collaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.</p>\n<p>Qualifications:</p>\n<p>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</p>\n<p>4+ years of industry experience with a focus on computer vision, image/video generation and editing.</p>\n<p>Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g. diffusion/AR models and distillation, VAEs etc.).</p>\n<p>Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.</p>\n<p>Proactive communication skills, with the ability to collaborate effectively across algo, product, and engineer teams.</p>\n<p>Preferred Qualifications:</p>\n<p>Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</p>\n<p>5+ years of industry experience with a focus on computer vision, image/video generation and editing.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cd8c3fa1-00e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-30/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AIGC","LLM","computer vision","image/video generation and editing","statistics","predictive analytics","research","data collection","model training","evaluation","deployment","advanced image processing and generation algorithms","data analysis","online experiments","cross-functional teams"],"x-skills-preferred":["diffusion/AR models and distillation","VAEs","SOTA technologies and frameworks","high-performance, large-volume systems","massive datasets","high throughput"],"datePosted":"2026-03-08T22:17:08.394Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AIGC, LLM, computer vision, image/video generation and editing, statistics, predictive analytics, research, data collection, model training, evaluation, deployment, advanced image processing and generation algorithms, data analysis, online experiments, cross-functional teams, diffusion/AR models and distillation, VAEs, SOTA technologies and frameworks, high-performance, large-volume systems, massive datasets, high throughput"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fb622500-15e"},"title":"Data Scientist, Marketing","description":"<p>You will directly impact Replit&#39;s growth by turning user behavior into actionable insights that optimize our marketing efforts, improve conversion funnels, and drive sustainable revenue growth across our self-serve and enterprise segments.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and analyse marketing experiments to optimise campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.</li>\n<li>Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.</li>\n<li>Develop predictive models to identify high-intent prospects, optimise lead scoring, and improve targeting for paid acquisition campaigns.</li>\n<li>Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.</li>\n<li>Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.</li>\n<li>Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.</li>\n</ul>\n<p><strong>Examples of what you could do</strong></p>\n<ul>\n<li>Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.</li>\n<li>Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.</li>\n<li>Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).</li>\n<li>Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.</li>\n</ul>\n<p><strong>Required skills and experience</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.</li>\n<li>4+ years of experience 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We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.</p>\n<p><strong>About the Role</strong></p>\n<p>Growth Marketing is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.</p>\n<p>This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making.</p>\n<p>This role is based in San Francisco. 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>Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.</li>\n</ul>\n<ul>\n<li>Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.</li>\n</ul>\n<ul>\n<li>Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.</li>\n</ul>\n<ul>\n<li>Managing full-funnel performance metrics, from reach/engagement to LTV/CAC, and identifying new opportunities for efficiency and scale.</li>\n</ul>\n<ul>\n<li>Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.</li>\n</ul>\n<ul>\n<li>Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.</li>\n</ul>\n<ul>\n<li>Expanding growth channels and market coverage, with attention to localization and regional performance nuances.</li>\n</ul>\n<ul>\n<li>Driving influencer and creator partnerships as part of the paid and organic growth mix.</li>\n</ul>\n<ul>\n<li>Collaborating with product teams to improve in-product conversion and onboarding flows.</li>\n</ul>\n<ul>\n<li>Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.</li>\n</ul>\n<p><strong>You might thrive in this role if you are/have:</strong></p>\n<ul>\n<li>8+ years of experience in growth marketing, performance marketing, or growth product management, ideally in high-growth tech.</li>\n</ul>\n<ul>\n<li>Proven ability to launch, scale, and optimize paid channels at significant budgets.</li>\n</ul>\n<ul>\n<li>Strong analytical skills and proficiency with measurement tools (Google Analytics, internal BI tools, experimentation platforms).</li>\n</ul>\n<ul>\n<li>Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.</li>\n</ul>\n<ul>\n<li>Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.</li>\n</ul>\n<ul>\n<li>A test-and-learn mindset and comfort with fast-paced, ambiguous environments.</li>\n</ul>\n<ul>\n<li>Excellent cross-functional communication skills and stakeholder management experience.</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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AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the fabric of our society.</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_b887074b-681","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/72f67cce-7dc8-4e12-a475-9423f2666f0b","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$239K – $265K • Offers Equity","x-skills-required":["growth marketing","performance marketing","growth product management","paid acquisition campaigns","A/B testing","growth experiments","AI-powered workflows","in-product optimization","insights","experimentation","creative ops engineering","workflow automation","engineering concepts","technical teams","growth and martech infrastructure","test-and-learn mindset","fast-paced environments","cross-functional communication","stakeholder management"],"x-skills-preferred":["Google Analytics","internal BI tools","experimentation platforms","AI-driven marketing tools","creative ops engineering","workflow automation","engineering concepts","technical teams","growth and martech infrastructure","test-and-learn mindset","fast-paced environments","cross-functional communication","stakeholder management"],"datePosted":"2026-03-06T18:39:50.568Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"growth marketing, performance marketing, growth product management, paid acquisition campaigns, A/B testing, growth experiments, AI-powered workflows, in-product optimization, insights, experimentation, creative ops engineering, workflow automation, engineering concepts, technical teams, growth and martech infrastructure, test-and-learn mindset, fast-paced environments, cross-functional communication, stakeholder management, Google Analytics, internal BI tools, experimentation platforms, AI-driven marketing tools, creative ops engineering, workflow automation, engineering concepts, technical teams, growth and martech infrastructure, test-and-learn mindset, fast-paced environments, cross-functional communication, stakeholder management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":239000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4d4df1fe-7ee"},"title":"Data Scientist, Financial Engineering","description":"<p><strong>Data Scientist, Financial Engineering</strong></p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s <strong>Financial Engineering (FinEng)</strong> team powers how revenue flows through our products—pricing &amp; packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our <strong>checkout and payments</strong>, <strong>subscriptions</strong>, and <strong>pricing &amp; monetization</strong> systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally.</p>\n<p>This role is based in San Francisco, CA. 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We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.</strong></p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Train and evaluate SoTA models along axis that are important to our vision for future devices.</li>\n</ul>\n<ul>\n<li>Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.</li>\n</ul>\n<ul>\n<li>Help define how software works for decades to come.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 5+ years of relevant work experience.</li>\n</ul>\n<ul>\n<li>Have a research background in utilizing and training language models to generate UI, and developing recipes to evaluate the quality / applicability of UI generated.</li>\n</ul>\n<ul>\n<li>Love exposure to a bit of everything – we’re collaborators with a hugely diverse set of research.</li>\n</ul>\n<ul>\n<li>Do rigorous science (rather than vibes based). 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The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI&#39;s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.</p>\n<p><strong>About the Role</strong></p>\n<p>OpenAI&#39;s Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments.</p>\n<p>You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., ultra-pass / cable cassette style assemblies), patch panels &amp; optics, and backplane/cable-backplane interconnect solutions.</li>\n</ul>\n<ul>\n<li>Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures.</li>\n</ul>\n<ul>\n<li>Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and mass production.</li>\n</ul>\n<ul>\n<li>Build and execute qualification strategies for cables/connectors/patch panels (mechanical, environmental, electrical, and reliability), including test coverage, sample plans, clear pass/fail criteria, defining installation criteria and processes, optics termination quality management and setting fiber standards criteria.</li>\n</ul>\n<ul>\n<li>Partner with engineering and operations to drive smooth ramp: risk assessments, pilot build learnings, change control, and readiness reviews (EVT/DVT/PVT/MP or equivalent phases).</li>\n</ul>\n<ul>\n<li>Own supplier and CM performance management: scorecards, audits (process and quality system), and follow-up to close findings with verified effectiveness</li>\n</ul>\n<ul>\n<li>Work with suppliers to improve manufacturing throughput, stability, and yields for cable and connector assembly processes (e.g., wire prep, welding/crimping, overmolding/injection molding, plating, and assembly fixturing).</li>\n</ul>\n<ul>\n<li>Lead rapid containment and root-cause 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We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for an experienced backend engineer to join our new ChatGPT Growth team to spearhead high-impact projects that amplify the user base of ChatGPT and Plus Subscribers. Your role will include projects such as optimizing account access, notifications, SEO, fostering value discovery, and virality. As we are in the nascent stages of growth at OpenAI, we will rely on you to discover pivotal areas where strategic bets or incremental efforts can catalyze significant impact. We value engineers who are impact-driven, autonomous, adept at discerning crucial insights from experimental results, and have a strong intuition for how to remove barriers to unlocking the magic of ChatGPT.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Drive long-term growth of ChatGPT through a combination of data analysis, product ideation, and experimentation to optimize product experiences.</li>\n</ul>\n<ul>\n<li>Partner with iOS, Android, and fullstack engineers to</li>\n</ul>\n<ul>\n<li>Plan and deploy backend systems necessary to power these product experiences.</li>\n</ul>\n<ul>\n<li>Execute on projects by working closely with research, product, design, data science and other members of product teams to land impact on product goals.</li>\n</ul>\n<ul>\n<li>Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Shipped features to power experiences that optimize the user funnel, such as landing pages, product pages, purchase flows, search flows, etc.</li>\n</ul>\n<ul>\n<li>Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. You know exactly what and how to track business metrics and KPIs, and aren’t afraid to dive deep into data to earn the insights.</li>\n</ul>\n<ul>\n<li>Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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Lately, we’ve been developing hardware to take those experiences to the next level, and you can be a key part of making that happen! Join our highly motivated team that&#39;s doing hardware design, prototyping, testing, and production across a wide range of platforms. Help us invent whole new gaming experiences built around novel hardware for the living room and beyond. At Valve, our Hardware team is highly collaborative; we benefit from individuals with broad skill bases and backgrounds, as well as deep technical experience. We design, test, manufacture, and validate the hardware that brings new experiences to life. Like other teams at Valve, we operate without a traditional management structure. We collaborate with peers to define our priorities and contributions during the development of our products. As part of that collaboration, we are able to self-select how best to add value to the projects we work on. Thermal engineers typically work with ID and ME to design cooling systems that help define the architecture and performance of our hardware products. As a thermal engineer you may find yourself spending time on building thermal models using CFD tools, reviewing or building CAD models, interfacing with suppliers, or running experiments in the lab. You&#39;ll likely find yourself involved in multiple hardware projects at one time. There’s a lot to get involved in, and most of the team wears multiple hats. Your hardware colleagues have many years of experience from across the CE industry with multiple products shipped. They can dig into the details while maintaining a product-level perspective, and we believe this focus and awareness results in products that keep our customers engaged and excited. Are you interested in stretching your limits and influencing the future of gaming and entertainment hardware? We look forward to hearing about what you have to bring to the table!  What We Offer  - An organization where 100% of time is dedicated as groups see fit  - The opportunity to collaborate with experts across a range of disciplines  - A work environment and flexible schedule in support of families and domestic partnerships  - A culture eager to become stronger through diversity of all forms  - Exceptional health insurance coverage  - Unrivaled employer match for our 401(k) retirement plan  - Generous vacation and family leave  - On-site amenities in support of health and efficiency  - Fertility and adoption assistance  - Reimbursement for child care during interviews  Valve strives to improve the diversity of our teams to better serve our diverse global audience. We welcome and encourage individuals from all backgrounds to apply. Candidates will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, family status, veteran status or disability status. Valve is committed to creating an inclusive work environment and does not tolerate discrimination or harassment in the workplace. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.  ### You&#39;re applying! Name Email address How did you discover this opportunity at Valve? Please select oneLinkedInZipRecruiterGlassdoorOther Recruiting WebsiteEvent (GDC, GDoC, GHC/AnitaB., etc.)Steam: I&#39;m a User!Employee ReferralWeb SearchI went straight to Valvesoftware.comOther So interesting! Please share a bit more if you&#39;re willing... Thanks for letting us know! Which website was it? Great! Who referred you? Well met! Which event did you attend? Attach your documents. Please include a resume. (We like .pdf, .doc &amp; .docx files.) Choose files. No files chosen. reCAPTCHA Recaptcha requires verification. I&#39;m not a robot reCAPTCHA [Privacy](https://www.google.com/intl/en/policies/privacy/) \\- [Terms](https://www.google.com/intl/en/policies/terms/) #### Submit your application. reCAPTCHA</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_1a57acbe-bbe","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Valve","sameAs":"https://www.valvesoftware.com","logo":"https://logos.yubhub.co/valvesoftware.com.png"},"x-apply-url":"https://www.valvesoftware.com/en/jobs?job_id=116","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["thermal engineering","CFD tools","CAD models","suppliers","experiments"],"x-skills-preferred":["hardware design","prototyping","testing","production"],"datePosted":"2026-03-06T14:28:17.377Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"thermal engineering, CFD tools, CAD models, suppliers, experiments, hardware design, prototyping, testing, production"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_abcf3078-8d7"},"title":"Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Applied Scientist at their Beijing office. 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