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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_460d00aa-b48"},"title":"Senior / Staff+ Software Engineer, Voice Platform","description":"<p>About the role</p>\n<p>We&#39;re building the infrastructure that lets people talk to Claude,real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.</p>\n<p>The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic&#39;s audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You&#39;ll work at the intersection of real-time media, low-latency inference, and distributed systems,building infrastructure where every millisecond of latency is felt by the user.</p>\n<p>We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design and build the real-time streaming infrastructure that powers voice conversations with Claude,ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency</li>\n</ul>\n<ul>\n<li>Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness</li>\n</ul>\n<ul>\n<li>Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers</li>\n</ul>\n<ul>\n<li>Own the audio transport layer,codecs, jitter buffers, adaptive bitrate, packet loss recovery,so conversations stay smooth across unreliable networks</li>\n</ul>\n<ul>\n<li>Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy</li>\n</ul>\n<ul>\n<li>Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research</li>\n</ul>\n<ul>\n<li>Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience</li>\n</ul>\n<p>You may be a good fit if you</p>\n<ul>\n<li>Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale</li>\n</ul>\n<ul>\n<li>Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss</li>\n</ul>\n<ul>\n<li>Are comfortable working across the stack,from transport protocols and serving infrastructure up to the APIs product teams build on</li>\n</ul>\n<ul>\n<li>Are results-oriented, with a bias toward flexibility and impact</li>\n</ul>\n<ul>\n<li>Pick up slack, even if it goes outside your job description</li>\n</ul>\n<ul>\n<li>Enjoy pair programming (we love to pair!)</li>\n</ul>\n<ul>\n<li>Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity,voice is a fast-moving space, and you&#39;ll help define the architecture as we learn what works</li>\n</ul>\n<p>Strong candidates may also have experience with</p>\n<ul>\n<li>Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale</li>\n</ul>\n<ul>\n<li>Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP</li>\n</ul>\n<ul>\n<li>Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure</li>\n</ul>\n<ul>\n<li>Telephony, live streaming, video conferencing, or voice assistant platforms</li>\n</ul>\n<ul>\n<li>Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, 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You&#39;ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient.</p>\n<p>Your work will touch the full GenAI inference stack , from kernels and runtimes to orchestration and memory management. You will contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Collaborating with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine</li>\n<li>Optimizing for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators</li>\n<li>Building and maintaining instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations</li>\n<li>Developing and enhancing scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads</li>\n<li>Supporting reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning</li>\n<li>Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead</li>\n<li>Collaborating cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams</li>\n<li>Documenting and sharing learnings, contributing to internal best practices and open-source efforts when possible</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>BS/MS/PhD in Computer Science, or a related field</li>\n<li>Strong software engineering background (3+ years or equivalent) in performance-critical systems</li>\n<li>Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.</li>\n<li>Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)</li>\n<li>Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning</li>\n<li>Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)</li>\n<li>Experience building instrumentation, tracing, and profiling tools for ML models</li>\n<li>Ability to work closely with ML researchers, translate novel model ideas into production systems</li>\n<li>Ownership mindset and eagerness to dive deep into complex system challenges</li>\n<li>Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving</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_f2196e99-854","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8202670002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$142,200-$204,600 USD","x-skills-required":["software engineering","performance-critical systems","ML inference internals","CUDA","GPU programming","distributed systems","RPC frameworks","queuing","RPC batching","sharding","memory partitioning","instrumentation","tracing","profiling tools","ML researchers","complex system challenges"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:17.777Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, performance-critical systems, ML inference internals, CUDA, GPU programming, distributed systems, RPC frameworks, queuing, RPC batching, sharding, memory partitioning, instrumentation, tracing, profiling tools, ML researchers, complex system challenges","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":142200,"maxValue":204600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9ab5cbc-dd6"},"title":"Research Engineer, Performance RL","description":"<p>We&#39;re hiring a Research Engineer to join our Code RL team within the RL organization. As a Research Engineer, you&#39;ll advance our models&#39; ability to safely write correct, fast code for accelerators.</p>\n<p>You&#39;ll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will:</p>\n<ul>\n<li>Invent, design and implement RL environments and evaluations.</li>\n<li>Conduct experiments and shape our research roadmap.</li>\n<li>Deliver your work into training runs.</li>\n<li>Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic.</li>\n</ul>\n<p>We&#39;re looking for someone with expertise in accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch), and experience with balancing research exploration with engineering implementation.</p>\n<p>Strong candidates may also have experience with reinforcement learning, porting ML workloads between different types of accelerators, and familiarity with LLM training methodologies.</p>\n<p>The annual compensation range for this role is $350,000-$850,000 USD.</p>\n<p>Please note that we&#39;re an extremely collaborative group, and we value communication skills. The easiest way to understand our research directions is to read our recent research.</p>\n<p>We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c9ab5cbc-dd6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5160330008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$850,000 USD","x-skills-required":["accelerator performance","ML framework programming","reinforcement learning","RL environments and evaluations","experiments and research roadmap","training runs","collaboration with researchers and engineers"],"x-skills-preferred":["CUDA","ROCm","Triton","Pallas","JAX","PyTorch","LLM training methodologies"],"datePosted":"2026-04-18T15:54:02.762Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"accelerator performance, ML framework programming, reinforcement learning, RL environments and evaluations, experiments and research roadmap, training runs, collaboration with researchers and engineers, CUDA, ROCm, Triton, Pallas, JAX, PyTorch, LLM training methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc17980d-461"},"title":"Research Engineer, Interpretability","description":"<p>JOB TITLE: Research Engineer, Interpretability \\n LOCATION: San Francisco, CA \\n DEPARTMENT: AI Research &amp; Engineering \\n \\n JOB DESCRIPTION: \\n \\n When you see what modern language models are capable of, do you wonder, &quot;How do these things work? How can we trust them?&quot; \\n \\n The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. \\n \\n Think of us as doing &quot;neuroscience&quot; of neural networks using &quot;microscopes&quot; we build - or reverse-engineering neural networks like binary programs. \\n \\n More resources to learn about our work: \\n - Our research blog - covering advances including Monosemantic Features and Circuits \\n - An Introduction to Interpretability from our research lead, Chris Olah \\n - The Urgency of Interpretability from CEO Dario Amodei \\n - Engineering Challenges Scaling Interpretability - directly relevant to this role \\n - 60 Minutes segment - Around 8:07, see a demo of tooling our team built \\n - New Yorker article - what it&#39;s like to work on one of AI&#39;s hardest open problems \\n \\n Even if you haven&#39;t worked on interpretability before, the infrastructure expertise is similar to what&#39;s needed across the lifecycle of a production language model: \\n - Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips \\n - Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model&#39;s internal activations mid-forward-pass - for example, adding a &quot;steering vector&quot; \\n - Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission \\n \\n The science keeps scaling - and it&#39;s now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. \\n \\n RESPONSIBILITIES: \\n - Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application \\n - Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams \\n - Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers \\n - Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations \\n - Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling \\n \\n YOU MAY BE A GOOD FIT IF YOU: \\n - Have 5-10+ years of experience building software \\n - Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python \\n - Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks \\n - Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions \\n - Prefer fast-moving collaborative projects to extensive solo efforts \\n - Are curious about interpretability research and its role in AI safety (though no research experience is required!) \\n - Care about the societal impacts and ethics of your work \\n - Are comfortable working closely with researchers, translating research needs into engineering solutions. \\n \\n STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH: \\n - Optimizing the performance of large-scale distributed systems \\n - Language modeling fundamentals with transformers \\n - High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization \\n - Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs \\n - Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges \\n \\n REPRESENTATIVE PROJECTS: \\n - Building Garcon, a tool that allows researchers to easily instrument LLMs to extract internal activations \\n - Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them \\n - Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization \\n - Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) \\n \\n ROLE SPECIFIC LOCATION POLICY: \\n - This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. \\n \\n The annual compensation range for this role is listed below. \\n For sales roles, the range provided is the role&#39;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 Annual Salary:\\\\$315,000-\\\\$560,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc17980d-461","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4980430008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$560,000 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lead to high-quality data</li>\n<li>Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods</li>\n<li>Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier</li>\n<li>Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well</li>\n<li>Are a strong full-stack engineer with broad experience across the stack</li>\n<li>Are very good at building internal tools, including working with users of the tools to understand their needs</li>\n<li>Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health</li>\n<li>Are a quick study,this team sits at the intersection of a large number of different complex technical systems that you&#39;ll need to understand (at a high level) to be effective</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines</li>\n<li>Familiarity with how preference data and reward models are used in AI model training</li>\n<li>Experience working with researchers who are internal users/customers</li>\n<li>Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows</li>\n<li>Strong instincts around system design , building things that evolve gracefully as requirements change</li>\n<li>Experience influencing technical and product direction on a team</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits</li>\n<li>Optional equity donation matching</li>\n<li>Generous vacation and parental leave</li>\n<li>Flexible working hours</li>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our website. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_76f61aca-ede","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5109273008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["full-stack engineering","data collection pipeline design","human data labelling interfaces","human-in-the-loop systems","data collection pipelines"],"x-skills-preferred":["preference data and reward models","AI model training","researcher collaboration","user experience design","system design"],"datePosted":"2026-04-18T15:51:03.093Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack engineering, data collection pipeline design, human data labelling interfaces, human-in-the-loop systems, data collection pipelines, preference data and reward models, AI model training, researcher collaboration, user experience design, system design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_97212bdf-dd1"},"title":"Research Engineer, Interpretability","description":"<p>Job Title: Research Engineer, Interpretability</p>\n<p>About the Role:</p>\n<p>When you see what modern language models are capable of, do you wonder, &quot;How do these things work? How can we trust them?&quot; The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe.</p>\n<p>Think of us as doing &quot;neuroscience&quot; of neural networks using &quot;microscopes&quot; we build - or reverse-engineering neural networks like binary programs.</p>\n<p>More resources to learn about our work:</p>\n<ul>\n<li>Our research blog - covering advances including Monosemantic Features and Circuits</li>\n</ul>\n<ul>\n<li>An Introduction to Interpretability from our research lead, Chris Olah</li>\n</ul>\n<ul>\n<li>The Urgency of Interpretability from CEO Dario Amodei</li>\n</ul>\n<ul>\n<li>Engineering Challenges Scaling Interpretability - directly relevant to this role</li>\n</ul>\n<ul>\n<li>60 Minutes segment - Around 8:07, see a demo of tooling our team built</li>\n</ul>\n<ul>\n<li>New Yorker article - what it&#39;s like to work on one of AI&#39;s hardest open problems</li>\n</ul>\n<p>Even if you haven&#39;t worked on interpretability before, the infrastructure expertise is similar to what&#39;s needed across the lifecycle of a production language model:</p>\n<ul>\n<li>Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips</li>\n</ul>\n<ul>\n<li>Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model&#39;s internal activations mid-forward-pass - for example, adding a &quot;steering vector&quot;</li>\n</ul>\n<ul>\n<li>Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission</li>\n</ul>\n<p>The science keeps scaling - and it&#39;s now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application</li>\n</ul>\n<ul>\n<li>Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams</li>\n</ul>\n<ul>\n<li>Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers</li>\n</ul>\n<ul>\n<li>Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations</li>\n</ul>\n<ul>\n<li>Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 5-10+ years of experience building software</li>\n</ul>\n<ul>\n<li>Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python</li>\n</ul>\n<ul>\n<li>Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks</li>\n</ul>\n<ul>\n<li>Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions</li>\n</ul>\n<ul>\n<li>Prefer fast-moving collaborative projects to extensive solo efforts</li>\n</ul>\n<ul>\n<li>Are curious about interpretability research and its role in AI safety (though no research experience is required!)</li>\n</ul>\n<ul>\n<li>Care about the societal impacts and ethics of your work</li>\n</ul>\n<ul>\n<li>Are comfortable working closely with researchers, translating research needs into engineering solutions.</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Optimizing the performance of large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Language modeling fundamentals with transformers</li>\n</ul>\n<ul>\n<li>High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization</li>\n</ul>\n<ul>\n<li>Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs</li>\n</ul>\n<ul>\n<li>Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges</li>\n</ul>\n<p>Representative Projects:</p>\n<ul>\n<li>Building Garcon, a tool that allows researchers to easily instrument LLMs to extract internal activations</li>\n</ul>\n<ul>\n<li>Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them</li>\n</ul>\n<ul>\n<li>Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization</li>\n</ul>\n<ul>\n<li>Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research)</li>\n</ul>\n<p>Role Specific Location Policy:</p>\n<ul>\n<li>This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;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.</p>\n<p>Annual Salary: $315,000-$560,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_97212bdf-dd1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4980430008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$560,000 USD","x-skills-required":["Python","Rust","Go","Java","PyTorch","CUDA","JAX","XLA","Transformers","High Performance LLM optimization","Memory management","Compute efficiency","Parallelism strategies","Inference throughput optimization"],"x-skills-preferred":["Optimizing the performance of large-scale distributed systems","Language modeling fundamentals","Collaborating closely with researchers and building tooling to support research teams"],"datePosted":"2026-04-18T15:46:01.999Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Java, PyTorch, CUDA, JAX, XLA, Transformers, High Performance LLM optimization, Memory management, Compute efficiency, Parallelism strategies, Inference throughput optimization, Optimizing the performance of large-scale distributed systems, Language modeling fundamentals, Collaborating closely with researchers and building tooling to support research teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":560000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_64176983-af0"},"title":"Research Engineer, Reward Models Platform","description":"<p>You will work as a Research Engineer on Anthropic&#39;s Reward Models Platform. Your primary responsibility will be to design and build infrastructure that enables researchers to rapidly iterate on reward signals. This includes tools for rubric development, human feedback data analysis, and reward robustness evaluation. You will also develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies. Additionally, you will create tooling that allows researchers to easily compare different reward methodologies and understand their effects. You will collaborate with researchers to translate science requirements into platform capabilities and optimize existing systems for performance, reliability, and ease of use.</p>\n<p>You will have the opportunity to contribute directly to research projects yourself and have a direct impact on our ability to scale reward development across domains. You will work closely with researchers and translate ambiguous requirements into well-scoped engineering projects.</p>\n<p>To be successful in this role, you should have prior research experience and be excited to work closely with researchers. You should have strong Python skills and experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms. You should be comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling.</p>\n<p>Strong candidates may also have experience with ML research, building internal tooling and platforms for ML researchers, data quality assessment and pipeline optimization, experiment tracking, evaluation frameworks, or MLOps tooling. They may also have experience with large-scale data processing, Kubernetes, distributed systems, or cloud infrastructure, and familiarity with reinforcement learning or fine-tuning workflows.</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_64176983-af0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5024831008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$350,000-$500,000 USD","x-skills-required":["Python","ML workflows","data pipelines","infrastructure/tooling/platforms","rubric development","human feedback data analysis","reward robustness evaluation","automated quality assessment","reward hacks","pathologies","experiment tracking","evaluation frameworks","MLOps tooling"],"x-skills-preferred":["ML research","building internal tooling and platforms for ML researchers","data quality assessment and pipeline optimization","Kubernetes","distributed systems","cloud infrastructure","reinforcement learning","fine-tuning workflows"],"datePosted":"2026-04-18T15:42:43.065Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, ML workflows, data pipelines, infrastructure/tooling/platforms, rubric development, human feedback data analysis, reward robustness evaluation, automated quality assessment, reward hacks, pathologies, experiment tracking, evaluation frameworks, MLOps tooling, ML research, building internal tooling and platforms for ML researchers, data quality assessment and pipeline optimization, Kubernetes, distributed systems, cloud infrastructure, reinforcement learning, fine-tuning workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b225c712-792"},"title":"Technical Recruiter","description":"<p>We&#39;re looking for a Technical Recruiter / Research Talent Sourcer to join World Labs and help us build a world-class research and engineering team. In this role, you will own and scale our technical recruiting and sourcing systems, with a particular focus on identifying and engaging top-tier AI researchers and engineers from leading universities and industry labs.</p>\n<p>This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability</li>\n<li>Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields</li>\n<li>Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems</li>\n<li>Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals</li>\n<li>Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy</li>\n<li>Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication</li>\n<li>Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions</li>\n<li>Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably</li>\n</ul>\n<p>Key Qualifications:</p>\n<ul>\n<li>3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains</li>\n<li>Demonstrated ability to build and maintain highly organized recruiting systems and processes</li>\n<li>Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions</li>\n<li>Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams</li>\n<li>Experience sourcing passive, highly competitive candidates</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Ability to operate effectively in fast-moving, ambiguous environments</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li><p>Experience in one or more of the following is a strong plus:</p>\n<ul>\n<li>Recruiting or sourcing for research-heavy organizations or frontier AI labs</li>\n<li>Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)</li>\n<li>Experience hiring PhD-level researchers or highly specialized engineers</li>\n<li>Background in startup environments or early-stage team building</li>\n<li>Experience with advanced sourcing tools, automation, or custom workflows</li>\n</ul>\n</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>Fearless Innovator: We need people who thrive on challenges and aren&#39;t afraid to tackle the impossible.</li>\n<li>Resilient Builder: Impacting Large World Models isn&#39;t a sprint; it&#39;s a marathon with hurdles. We&#39;re looking for builders who can weather the storms of groundbreaking research and come out stronger.</li>\n<li>Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.</li>\n<li>Collaborative Spirit: We&#39;re building something bigger than any one person. We need team players who can harness the power of collective intelligence.</li>\n</ul>\n<p>Equal Opportunity &amp; Pay Transparency</p>\n<p>World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.</p>\n<p>In accordance with California law, we disclose the following:</p>\n<ul>\n<li>Pay Range: $180,000-$225,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)</li>\n<li>Total Compensation: Base salary plus equity awards and annual performance bonus</li>\n<li>Salary History: We do not request or consider prior compensation in making offers</li>\n</ul>\n<p>Compliance:</p>\n<ul>\n<li>Cal. Lab. Code §432.3 (pay scale disclosure &amp; salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA)</li>\n<li>Accommodations &amp; inquiries: <a href=\"mailto:talent@worldlabs.ai\">talent@worldlabs.ai</a></li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b225c712-792","directApply":true,"hiringOrganization":{"@type":"Organization","name":"World Labs","sameAs":"https://worldlabs.ai","logo":"https://logos.yubhub.co/worldlabs.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/worldlabs/jobs/4135918009","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$225,000","x-skills-required":["AI","ML","Robotics","Computer Vision","Deep-Tech Domains","Recruiting","Sourcing","Data Discipline","Pipelines","Metrics","Structured Tracking"],"x-skills-preferred":["Academic Research Signals","Publications","Citations","arXiv","Conferences","NeurIPS","ICML","ICLR","CVPR","RSS","PhD-Level Researchers","Specialized Engineers","Startup Environments","Early-Stage Team Building","Advanced Sourcing Tools","Automation","Custom Workflows"],"datePosted":"2026-04-17T13:09:34.519Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, ML, Robotics, Computer Vision, Deep-Tech Domains, Recruiting, Sourcing, Data Discipline, Pipelines, Metrics, Structured Tracking, Academic Research Signals, Publications, Citations, arXiv, Conferences, NeurIPS, ICML, ICLR, CVPR, RSS, PhD-Level Researchers, Specialized Engineers, Startup Environments, Early-Stage Team Building, Advanced Sourcing Tools, Automation, Custom Workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ce2a536e-f36"},"title":"Enterprise Resilience Analyst","description":"<p>The Enterprise Resilience Analyst plays a key role in Southern Company&#39;s Enterprise Resilience Program, supporting business continuity, crisis management, governance, and resilience technologies.</p>\n<p>This role helps ensure the organisation is prepared to respond to and recover from disruptive events by developing and supporting crisis management processes, business continuity planning, and enterprise-wide preparedness initiatives.</p>\n<p>The analyst leverages department-owned technologies and collaborates with stakeholders across all subsidiaries to advance program maturity. This position requires an innovative, solutions-oriented approach and the ability to thrive in a fast-paced, evolving environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and facilitate exercises to test emergency response, crisis management, and business continuity plans.</li>\n<li>Serve as a subject matter expert in exercise design, crisis management, and business continuity practices.</li>\n<li>Create and deliver training for employees at all levels.</li>\n<li>Support Enterprise Resilience Coordinators and Crisis Managers in enhancing response capabilities.</li>\n<li>Leverage resilience technologies, including AlertMedia, Archer, and Microsoft-based tools (SharePoint, Power Platform).</li>\n<li>Lead the development, maintenance, and testing of business continuity plans for critical functions.</li>\n<li>Participate in business continuity exercises and prepare after-action reports.</li>\n<li>Use data to create and improve program metrics and reporting.</li>\n<li>Coordinate with partners and key stakeholders to advance business continuity and preparedness initiatives.</li>\n<li>Provide support to department leadership during enterprise-level incidents.</li>\n<li>Act as a change agent to drive program advancement and alignment with strategy.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree required; advanced degree or related certification a plus.</li>\n<li>1-3 years of experience in business continuity, crisis management, or relevant technical/business systems roles preferred.</li>\n</ul>\n<p>Knowledge, Skills &amp; Abilities:</p>\n<ul>\n<li>Strong interpersonal and communication skills with experience engaging all organisational levels, including executives.</li>\n<li>Knowledge of continuity planning, crisis management, risk mitigation, or related disciplines preferred.</li>\n<li>Ability to facilitate problem-solving sessions and table-top exercises.</li>\n<li>Strong written and verbal communication skills with ability to tailor messaging to different audiences.</li>\n<li>Ability to make timely decisions, including under pressure.</li>\n<li>Technical aptitude with ability to learn and support business-owned systems (e.g., mass notification, business continuity planning platforms, SharePoint, Power Platform).</li>\n<li>Innovative, adaptable, and solutions-driven with strong critical-thinking skills.</li>\n<li>Effective team collaborator, including in matrixed or cross-functional environments.</li>\n<li>Analytical skills with interest in learning modern data visualisation methods.</li>\n<li>Self-starter able to balance multiple priorities with minimal supervision.</li>\n<li>Occasional after-hours or on-call support required.</li>\n<li>Basic energy/utility knowledge preferred.</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_ce2a536e-f36","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Southern Company","sameAs":"https://www.southerncompany.com/","logo":"https://logos.yubhub.co/southerncompany.com.png"},"x-apply-url":"https://emje.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/SouthernCompanyJobs/job/17694","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["business continuity","crisis management","resilience technologies","AlertMedia","Archer","Microsoft-based tools","SharePoint","Power Platform"],"x-skills-preferred":[],"datePosted":"2026-04-03T08:40:32.274Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Energy","skills":"business continuity, crisis management, resilience technologies, AlertMedia, Archer, Microsoft-based tools, SharePoint, Power Platform"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b23588cd-f8e"},"title":"Business Lead, Life Sciences","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>The Business, Life Sciences team at OpenAI tackles domains where frontier AI can transform science and industry, requiring new approaches that cut across GTM, Research, and Product. Our charter is to prove out high-leverage applications, build the right partnerships, and turn early experiments into sustainable operating models. In life sciences, we work with Research to extend scaling laws into biology and chemistry, aligning scientific progress with real-world deployment.</p>\n<p><strong>About the role</strong></p>\n<p>We are hiring a Business Lead to own account and market strategy for a portfolio of strategic life sciences organizations and research institutions. You will translate their highest-leverage priorities and constraints into a multi-year partnership strategy, a joint roadmap, and clear governance.</p>\n<p>You will orchestrate the internal deal and deployment team to deliver outcomes in regulated environments. We measure success through delivery of customer outcomes, closed-won revenue, and long-term expansion.</p>\n<p>This role is based in San Francisco, New York, or London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel up to 30% is required.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own account and market strategy for a portfolio of life sciences partners, including segmentation, account plans, executive mapping, multi-threading, and a clear plan to expand usage over time.</li>\n</ul>\n<ul>\n<li>Build and maintain credibility with customers by translating scientific priorities and risk constraints into joint roadmaps, success metrics, and delivery plans teams can champion and execute.</li>\n</ul>\n<ul>\n<li>Drive revenue by leading complex deal cycles from positioning through close, including commercial structuring, pricing, and contracting in close partnership with Research, FDE, Legal, Security/GRC, and Finance.</li>\n</ul>\n<ul>\n<li>Run partnership governance that sustains outcomes and expansion, including exec steering, QBRs, escalation paths, and crisp renewal and expansion plans.</li>\n</ul>\n<ul>\n<li>Orchestrate cross-functional teams across Product, Engineering, Research, Security/GRC, and GTM to remove blockers, align decision-makers, and deliver partner outcomes on schedule.</li>\n</ul>\n<ul>\n<li>Identify and prioritize opportunities where scientific impact and partner value align, and manage trade-offs when priorities conflict across near-term delivery and longer-term platform bets.</li>\n</ul>\n<ul>\n<li>Set and defend launch expectations in regulated contexts, ensuring inspection readiness, evidence standards, and reviewer trust under delivery pressure.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Bring 8+ years of experience leading enterprise GTM, strategic partnerships, or commercialization for technical products in regulated life sciences (biotech, pharma, CROs, clinical research, or scientific software), with a track record of closing and expanding multi-year deals, including executive-level buyer mapping and multi-threaded deals.</li>\n</ul>\n<ul>\n<li>Have led commercialization of technical products where adoption, governance, and executive trust determined expansion, and can translate deployment evidence into a clear business case for R&amp;D leadership.</li>\n</ul>\n<ul>\n<li>Build trust with clinical, regulatory, privacy, and safety stakeholders by aligning contract terms, controls, and delivery plans to risk posture and inspection readiness.</li>\n</ul>\n<ul>\n<li>Communicate clearly across scientific, technical, and executive audiences, adapting language to drive alignment, decisions, and delivery.</li>\n</ul>\n<ul>\n<li>Build alignment across researchers, builders, and commercial teams, internally and with partners across industry, startups, and academia.</li>\n</ul>\n<ul>\n<li>Apply systems thinking with high execution standards, turning failures or escalations in regulated environments into improved operating standards and stronger partner governance.</li>\n</ul>\n<ul>\n<li>Hold a strong thesis on AI x Science and place credible market bets on which biology and chemistry problems to pursue, then turn them into focused account plans and repeatable motions.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. 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We are growing and are looking for people to join our team. You&#39;ll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?</p>\n<p>We are seeking an experienced Principal Third Party Risk Management (TPRM) Consultant to lead and shape our Third Party Risk and GRC services within the cyber security consultancy. This is a senior leadership role responsible for driving strategy, managing complex client engagements, and delivering enterprise-scale TPRM and GRC programmes across multiple industries. As a subject matter expert in Third Party Risk Management, Governance, Risk &amp; Compliance (GRC) and vendor risk frameworks, you will design, implement, and operate robust third-party risk management frameworks that align with regulatory, security, and business requirements. You will act as a trusted advisor to clients, lead large transformation initiatives, manage teams, and ensure high-quality delivery of risk, compliance, and assurance services.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<p>·       <strong>TPRM Proposals &amp; Strategy</strong>: Lead the development of TPRM and GRC proposals, defining scope, delivery models, governance structures, and operating models and design enterprise-level Third Party Risk Management strategies aligned with regulatory, operational, and cyber risk requirements.</p>\n<p>·       <strong>Client Engagement Leadership</strong>: Lead and manage complex client engagements in Third Party Risk Management, vendor risk, and GRC and act as engagement lead and trusted advisor for executive stakeholders (CISO, CRO, Risk, Compliance, Procurement, Legal). In addition to that ensure successful delivery of TPRM services including assessments, frameworks, tooling, and operationalisation.</p>\n<p>·       <strong>Security Assessment &amp; Audit Leadership</strong>: Lead third-party security assessments, audits, and assurance activities and define assessment methodologies, risk scoring models, control frameworks, and reporting structures as well as oversee supplier due diligence, onboarding risk processes, and continuous monitoring programmes.</p>\n<p>·       <strong>Technical &amp; Methodological Authority</strong>: Serve as subject matter expert for TPRM, GRC platforms, and vendor risk methodologies and provide leadership in the use of GRC and TPRM tooling (e.g. OneTrust, Archer, ServiceNow GRC, similar platforms).</p>\n<p>·       <strong>Project, Delivery &amp; Programme Leadership</strong>: Act as Project Manager, Delivery Lead, and Programme Lead for large-scale TPRM initiatives and manage multi-stream delivery, dependencies, risks, and stakeholder alignment.</p>\n<p>·       <strong>Team Leadership &amp; Management</strong>: Lead, mentor, and develop a team of consultants (up to 5 direct reports) and build high-performing delivery teams and ensure capability development in TPRM and GRC.</p>\n<p>·       <strong>Risk &amp; Compliance Management:</strong> Identify, assess, and manage third-party risks across cyber, operational, regulatory, and reputational domains and advise clients on risk treatment strategies, remediation plans, and control improvements.</p>\n<p>·       <strong>Continuous Improvement &amp; Innovation</strong>: Drive continuous improvement in TPRM methodologies, delivery models, and service offerings and stay current with regulatory developments, emerging risks, and industry best practices in third-party risk and supply chain security.</p>\n<p><strong><strong>Requirements</strong></strong></p>\n<p><strong>Essential Skills and Experience:</strong></p>\n<p>·       Extensive experience in Third Party Risk Management (TPRM) and Governance, Risk &amp; Compliance (GRC) at enterprise level.</p>\n<p>·       Strong background as Security Assessor, Auditor, and Risk Consultant.</p>\n<p>·       Proven experience leading TPRM, vendor risk, and supplier assurance programmes.</p>\n<p>·       Experience acting as Project Manager, Delivery Lead, and Programme Lead for complex engagements.</p>\n<p>·       Hands-on experience with GRC / TPRM platforms, ideally including OneTrust.</p>\n<p>·       Ability to design and implement third-party risk frameworks, policies, and governance models.</p>\n<p>·       Strong stakeholder management skills at executive and board level.</p>\n<p>·       Proven people management experience, including team leadership and mentoring.</p>\n<p>·       Ability to balance security, risk, compliance, and business enablement.</p>\n<p><strong>Qualifications:</strong></p>\n<p>·       Minimum 10 years of experience in cyber security, risk management, GRC, audit, or related domains.</p>\n<p>·       CISA (Certified Information Systems Auditor) strongly preferred.</p>\n<p>·       Lead Auditor certification (e.g. ISO 27001 Lead Auditor) highly desirable.</p>\n<p>·       Additional certifications such as CISM, CRISC, CISSP are an advantage.</p>\n<p>·       Experience working across multiple industries (e.g. Financial Services, Healthcare, Critical Infrastructure, Government, Technology).</p>\n<p>·       Experience with regulatory-driven environments and compliance-led transformation programmes.</p>\n<p>_Given that this is just a short snapshot of the role we encourage you to apply even if you don&#39;t meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please_ _<strong>apply now.</strong>_</p>\n<p><strong><strong>Benefits</strong></strong></p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology.  We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, <strong>Equity</strong> and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... <strong>Apply today!</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f56e4b3a-ca5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/3AGuZh2zhvyMa3e9DNdg37/remote-third-party-risk-management-(tprm)-consultant---principal-in-poland-at-infosys-consulting---europe","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Third Party Risk Management","Governance, Risk & Compliance","Vendor Risk Management","Security Assessment","Audit Leadership","Project Management","Delivery Leadership","Programme Leadership","Team Leadership","Risk Management","Compliance Management","Continuous Improvement","Innovation"],"x-skills-preferred":["OneTrust","Archer","ServiceNow GRC","CISA","Lead Auditor certification","CISM","CRISC","CISSP"],"datePosted":"2026-03-09T16:51:45.581Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Consulting","industry":"Technology","skills":"Third Party Risk Management, Governance, Risk & Compliance, Vendor Risk Management, Security Assessment, Audit Leadership, Project Management, Delivery Leadership, Programme Leadership, Team Leadership, Risk Management, Compliance Management, Continuous Improvement, Innovation, OneTrust, Archer, ServiceNow GRC, CISA, Lead Auditor certification, CISM, CRISC, CISSP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4eede990-335"},"title":"Principal Product Manager - AI Multimodal","description":"<p>Help deliver one of the best foundational models in the world at Microsoft AI.</p>\n<p>At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. 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You will be responsible for balancing product needs with research priorities, ensuring that Copilot’s messages are high quality, factual and safe.</p>\n<p>Responsibilities:</p>\n<p>Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.</p>\n<p>Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.</p>\n<p>Creating model prototypes to prove out new feature directions and scope projects.</p>\n<p>Engineering prompts to teach models how to behave across a wide range of scenarios.</p>\n<p>Working closely with researchers and engineers to define and manage engineering and research projects.</p>\n<p>Deploying and tracking AB model experiments in production</p>\n<p>Foster a culture of collaboration, continuous improvement, and growth.</p>\n<p>Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback</p>\n<p>Advance the AI frontier responsibly</p>\n<p>Embody our culture and values</p>\n<p>Required/Minimum Qualifications:</p>\n<p>Minimum of Bachelor’s Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience.</p>\n<p>Experience managing cross-functional and/or cross-team projects.</p>\n<p>Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production.</p>\n<p>Experience working side-by-side with Researchers and/or Engineers</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_4eede990-335","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-product-manager-ai-multimodal-3/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI researchers","product/technical program management","data analysis","product development","cross-functional project management","LLMs"],"x-skills-preferred":["research","engineering"],"datePosted":"2026-03-08T22:14:15.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI researchers, product/technical program management, data analysis, product development, cross-functional project management, LLMs, research, engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f2b02fef-363"},"title":"Program Manager, Product Policy","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Program Manager, Product Policy</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Product Policy</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$261K – $335K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern use of OpenAI’s services, including ChatGPT, GPTs, the GPT store, Sora, and the OpenAI API. As a member of this team, you will be instrumental in developing and operationalizing policy approaches to best enable both innovative and responsible use of AI so that our groundbreaking technologies are truly used to benefit all people.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a program manager to strengthen the operational backbone of the Product Policy team. This role focuses on making our core processes run smoothly and reliably—how we update policies, track progress, coordinate with ops, and manage the mechanics that enable the team to move quickly and responsibly. This person will own critical operational workflows and support priority initiatives.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own and improve Product Policy’s core operational processes (e.g., policy updates, cross-functional handoffs, tracking and reporting).</li>\n</ul>\n<ul>\n<li>Build and maintain systems to measure progress, surface risks, and ensure accountability across workstreams.</li>\n</ul>\n<ul>\n<li>Coordinate day-to-day execution with operations, integrity, safety, and legal partners.</li>\n</ul>\n<ul>\n<li>Support priority initiatives by organizing workplans, driving follow-ups, and keeping execution on track.</li>\n</ul>\n<ul>\n<li>Develop lightweight tools, templates, and documentation that make the team more efficient and predictable.</li>\n</ul>\n<ul>\n<li>Translate policy requirements into clear operational steps for partner teams.</li>\n</ul>\n<p><strong>What we’re looking for:</strong></p>\n<ul>\n<li>Experience running operational programs or processes in cross-functional environments.</li>\n</ul>\n<ul>\n<li>Strong organizational skills and attention to detail, with an instinct for improving systems.</li>\n</ul>\n<ul>\n<li>Comfort working with policy, technical, and operational stakeholders.</li>\n</ul>\n<ul>\n<li>Ability to execute independently while escalating issues appropriately.</li>\n</ul>\n<ul>\n<li>Background in policy / trust and safety.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have worked 7+ years in product policy or similar roles.</li>\n</ul>\n<ul>\n<li>Possess excellent communication skills with demonstrated ability to communicate with product managers, engineers, researchers, and executives alike.</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and enjoy going 0 to 1.</li>\n</ul>\n<ul>\n<li>Are a creative thinker with an eye for opportunities to leverage data to inform policies.</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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This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.</p>\n<p>In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.</p>\n<p><strong>About the role</strong></p>\n<p>As an Account Director focused on Healthcare &amp; Life Sciences, you will own executive-level relationships with leading healthcare and life sciences organizations, including global pharmaceutical manufacturers, medical device companies, and contract research organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to transform R&amp;D productivity, automate documentation, enhance regulatory workflows, and personalize patient and provider engagement.</p>\n<p>This role blends scientific literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments.</p>\n<p>This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you’ll:</strong></p>\n<ul>\n<li>Manage a focused portfolio of healthcare, large pharmaceutical and life sciences accounts, developing long-term strategic account plans</li>\n</ul>\n<ul>\n<li>Lead complex, multi-stakeholder sales cycles spanning R&amp;D, medical, regulatory, and commercial functions</li>\n</ul>\n<ul>\n<li>Partner with solutions and research engineering to design pilots that demonstrate measurable business and scientific impact</li>\n</ul>\n<ul>\n<li>Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments</li>\n</ul>\n<ul>\n<li>Own a revenue and consumption target; manage forecasts and pipeline reporting</li>\n</ul>\n<ul>\n<li>Monitor industry and regulatory trends (FDA, EMA, etc.) to guide customer and product strategy</li>\n</ul>\n<ul>\n<li>Represent OpenAI at industry conferences and thought-leadership events (e.g., HLTH, JPM)</li>\n</ul>\n<ul>\n<li>Partner cross-functionally with marketing, partnerships, and communications to build the HLS go-to-market motion</li>\n</ul>\n<p><strong>We’re seeking someone with experience including:</strong></p>\n<ul>\n<li>14+ years selling complex enterprise software or platform-as-a-service solutions to healthcare or life sciences customers</li>\n</ul>\n<ul>\n<li>Proven success achieving annual revenue targets &gt;$2M+ in regulated industries</li>\n</ul>\n<ul>\n<li>Experience managing C-suite relationships across R&amp;D, IT, medical, and commercial teams</li>\n</ul>\n<ul>\n<li>Strong understanding of healthcare and life sciences workflows (e.g., drug discovery, clinical trials, regulatory submissions, market access)</li>\n</ul>\n<ul>\n<li>Familiarity with data privacy, compliance (HIPAA, GxP), and security considerations in healthcare</li>\n</ul>\n<ul>\n<li>Demonstrated ability to design and execute complex deal and partnership strategies</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are customer-centric and can translate complex scientific and business needs into transformative AI solutions</li>\n</ul>\n<ul>\n<li>Are passionate about advancing human health through the safe and ethical use of AI</li>\n</ul>\n<ul>\n<li>Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up</li>\n</ul>\n<ul>\n<li>Are a strategist who anticipates industry shifts and guides enterprise customers through them</li>\n</ul>\n<ul>\n<li>Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements</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. The company is made up of scientists, engineers, and business professionals working together to accomplish this long-term undertaking.</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_5779a84c-421","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/93d9be71-6502-4e48-94c2-1c17724e2bc7","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$232K – $350K • Offers Equity • Mult","x-skills-required":["14+ years selling complex enterprise software or platform-as-a-service solutions to healthcare or life sciences customers","Proven success achieving annual revenue targets >$2M+ in regulated industries","Experience managing C-suite relationships across R&D, IT, medical, and commercial teams","Strong understanding of healthcare and life sciences workflows (e.g., drug discovery, clinical trials, regulatory submissions, market access)","Familiarity with data privacy, compliance (HIPAA, GxP), and security considerations in healthcare","Demonstrated ability to design and execute complex deal and partnership strategies"],"x-skills-preferred":["Scientific literacy","Technical depth","Business acumen","Relationship-driven enterprise sales","Collaboration with researchers, engineers, and healthcare-focused solution strategists","Designing secure, compliant, and high-impact AI deployments"],"datePosted":"2026-03-06T18:32:06.539Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; New York City; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"14+ years selling complex enterprise software or platform-as-a-service solutions to healthcare or life sciences customers, Proven success achieving annual revenue targets >$2M+ in regulated industries, Experience managing C-suite relationships across R&D, IT, medical, and commercial teams, Strong understanding of healthcare and life sciences workflows (e.g., drug discovery, clinical trials, regulatory submissions, market access), Familiarity with data privacy, compliance (HIPAA, GxP), and security considerations in healthcare, Demonstrated ability to design and execute complex deal and partnership strategies, Scientific literacy, Technical depth, Business acumen, Relationship-driven enterprise sales, Collaboration with researchers, engineers, and healthcare-focused solution strategists, Designing secure, compliant, and high-impact AI deployments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":232000,"maxValue":350000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ecac963-34f"},"title":"Full-Stack Software Engineer, Social Products","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$210K – $325K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p><strong>About the Team</strong></p>\n<p>The Incubation team explores and develops new product ideas at their earliest stages — identifying opportunities, rapidly testing concepts, and building the foundations for future OpenAI products. Operating as a 0→1 innovation group, the team works across problem spaces to discover where advances in AI can unlock entirely new user experiences.</p>\n<p>We operate with a startup-like mindset inside OpenAI: small teams, fast iteration cycles, and a willingness to explore bold ideas, learn quickly, and pivot based on real-world signals. Our goal is to turn promising concepts into validated products that can scale to global impact.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Full-Stack Software Engineer on the Incubation team, you’ll help imagine, prototype, and build entirely new product experiences within the OpenAI ecosystem. This team moves quickly from idea to experiment to iteration, exploring multiple directions in parallel and investing deeply in the most promising opportunities.</p>\n<p>You’ll work across the stack—building frontend and backend systems, developing rapid prototypes, and collaborating closely with designers, researchers, and product partners—to bring early-stage ideas to life. This includes developing production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API, as well as designing new architectures when existing systems aren’t sufficient.</p>\n<p>We’re looking for engineers who thrive in small, nimble teams, bring creative product instincts, and pair strong execution with sound technical judgment. You should be comfortable operating in ambiguity, learning from experiments, and helping shape both product direction and technical strategy from the ground up.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Prototype and iterate quickly on new product ideas, exploring how AI can unlock novel user experiences and workflows.</li>\n<li>Turn early concepts into functional demos and ship code early and often, using real-world feedback to guide iteration.</li>\n<li>Validate ideas through experimentation and help scale the strongest concepts from prototype to production.</li>\n<li>Work across the full stack to build products from initial exploration through launch readiness.</li>\n<li>Collaborate closely with research, product, design, data science, and engineering partners to drive meaningful impact.</li>\n<li>Learn from and contribute alongside deeply experienced engineers while fostering a high-trust, inclusive, and candid team culture.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 3+ years of professional software engineering experience.</li>\n<li>Have built and shipped full-stack apps end-to-end — from prototype to traction — in fast-moving, startup-like environments.</li>\n<li>Are energized by ambiguity — you can take a one-sentence idea and turn it into a working product.</li>\n<li>Jump at opportunities to learn new systems or languages and share your insights clearly with others.</li>\n<li>Enjoy exploring new problem spaces and shaping products before requirements are fully defined.</li>\n<li>Thrive in high-ambiguity environments and can independently translate broad ideas into shipped products.</li>\n<li>Welcome direct, constructive feedback and offer the same to others with clarity and respect.</li>\n<li>Are fluent across multiple programming languages and frameworks — choosing the right tools to move quickly and effectively.</li>\n</ul>\n<p><strong>About OpenAI</strong> OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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Safety is more important to us than unfettered growth.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for an experienced Research Engineer to work on retrieval &amp; search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval &amp; search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval &amp; search efforts as a company, and the progress you drive here will reach millions of end users.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Work on retrieval &amp; search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search.</li>\n</ul>\n<ul>\n<li>Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users.</li>\n</ul>\n<ul>\n<li>Explore novel research topics in retrieval &amp; search that may inform our product strategy in the medium and long term.</li>\n</ul>\n<ul>\n<li>Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world</li>\n</ul>\n<p>You might thrive in this role if you:</p>\n<ul>\n<li>Have extensive prior experience building and maintaining production machine learning systems.</li>\n</ul>\n<ul>\n<li>Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases</li>\n</ul>\n<ul>\n<li>Have prior experience building and iterating on internet-scale search systems</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done</li>\n</ul>\n<ul>\n<li>Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines</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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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising haptic entertainment technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the cinema and simulation markets.</p>\n<p><strong>About the Role</strong></p>\n<p>At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day. The AI Post – Training team at Microsoft AI is responsible for all aspects of post – training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Develop data collection, evaluation, and finetuning methods for models.</li>\n<li>Design hypotheses and experiment plans for rapidly iterating on model performance.</li>\n<li>Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality.</li>\n<li>Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Expertise in post-training of AI models.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Passionate about conversational AI and its deployment.</li>\n<li>Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary.</li>\n<li>Comprehensive benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_804df07a-fc5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-ai-post-training-mai-superintelligence-team-post-training-3/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["post-training of AI models","data collection","evaluation","finetuning methods","hypothesis design","experiment planning","model feature prototyping","collaboration with engineers and researchers"],"x-skills-preferred":["conversational AI","deployment","written and verbal communication","cross-functional team collaboration"],"datePosted":"2026-03-06T07:30:15.541Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"post-training of AI models, data collection, evaluation, finetuning methods, hypothesis design, experiment planning, model feature prototyping, collaboration with engineers and researchers, conversational AI, deployment, written and verbal communication, cross-functional team collaboration"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e030602-8fe"},"title":"Principal UX Researcher","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Principal UX Researcher at their Mountain View office. 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You will guide teams in creative new directions and help set ambitious goals that stand out from the crowd.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Conduct in-depth market research across tech sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company&#39;s quarterly strategic planning sessions</li>\n<li>Drive cross-team collaborations among all disciplines from early product stages to final implementations</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Doctorate in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 5+ years User Experience Research experience</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Strong mixed methods researcher comfortable in interviews and with deep data analysis</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Exceptional communication, presentation, and storytelling skills</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6e030602-8fe","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-ux-researcher-2/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $163,000 – $296,400 per year","x-skills-required":["User Experience Research","Human-Computer Interaction","Human Factors Engineering","Computer Science","Technical Communications","Information Science","Information Architecture","User Experience Design","Behavioral Science","Social Sciences"],"x-skills-preferred":["Mixed methods researcher","Interviews","Data analysis","Communication","Presentation","Storytelling"],"datePosted":"2026-03-06T07:29:55.827Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"User Experience Research, Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, Mixed methods researcher, Interviews, Data analysis, Communication, Presentation, Storytelling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":163000,"maxValue":296400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a9fdb16e-82d"},"title":"Principal UX Researcher","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Principal UX Researcher at their Multiple Locations, United States office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI-powered customer experiences. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI and commerce markets.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Principal UX Researcher to help us set the path for our next generation of AI-powered products. For this role we’re looking for someone who can move between exploratory, generative research to rapid evaluations of prototyped ideas. Someone who works across organizational roles to uncover the unspoken questions and beliefs and answers them with precision, detail, and durability. Someone who always puts people first and centers their needs, problems, goals, and aspirations for the team. Someone who is energized by direct, tangible product impact. A strong mixed methods researcher comfortable in interviews and with deep data analysis.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Understand the behaviors, motivations, needs, and aspirations of our customers to create a differentiated advantage in our ability to build relevant and impactful experiences for people across the world.</li>\n<li>Lead research across complex commerce ecosystems, including shopping discovery, merchant evaluation, payments, cashback, and post‑purchase experiences where AI agents act on users’ behalf.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Doctorate in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 3+ years User Experience Research experience OR Master’s Degree in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 4+ years User Experience Research experience OR Bachelor’s Degree in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 6+ years User Experience Research experience OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>High level research skills across methods, qualitative and quantitative (i.e. a Mixed Methods researcher).</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Excellent communication and presentation / storytelling skills, with the ability to energize and activate teams.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a9fdb16e-82d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-ux-researcher/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $139,900 – $274,800 per year","x-skills-required":["User Experience Research","Human-Computer Interaction","Human Factors Engineering","Computer Science","Technical Communications","Information Science","Information Architecture","User Experience Design","Behavioral Science","Social Sciences"],"x-skills-preferred":["Mixed Methods researcher","Interviews","Data analysis","Communication","Presentation","Storytelling"],"datePosted":"2026-03-06T07:28:01.889Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Multiple Locations, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"User Experience Research, Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, Mixed Methods researcher, Interviews, Data analysis, Communication, Presentation, Storytelling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}}]}