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You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain “five nines” uptime.</p>\n<p>Active Practitioner: You are currently in the IDE. You have a “ship-first” mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.</p>\n<p>Full-Stack Architectural Depth: Broad technical fluency across the entire stack,from frontend performance and backend logic to database optimization and distributed infrastructure.</p>\n<p>AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.</p>\n<p>Systems Design &amp; Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the “big picture” without losing sight of the implementation details.</p>\n<p>Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.</p>\n<p>High Agency &amp; Navigating Ambiguity: You are a self-starter who thrives in “zero-to-one” environments. 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You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more.</p>\n<p>Must-Have Skills</p>\n<ul>\n<li>Systems-level programming experience in Go, Rust, C, or C++</li>\n<li>A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model</li>\n<li>Knowledge of HTTP, TLS, and CDN networks</li>\n<li>Experience in implementing secure and highly-available distributed systems</li>\n<li>Experience with monitoring, alerting, and debugging large-scale distributed systems</li>\n<li>Experience participating in an on-call rotation</li>\n<li>Strong collaboration and communication skills</li>\n<li>Experience/interest in network performance monitoring and tuning</li>\n<li>Willingness to adopt and integrate AI tools and systems into your engineering workflow</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Knowledge of TCP/IP and Internet routing</li>\n<li>Professional systems-level programming experience in Rust</li>\n<li>Working knowledge of statistical-analysis techniques and control theory</li>\n<li>Experience building tools and APIs</li>\n<li>Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting</li>\n</ul>\n<p>Equity This role is eligible to participate in Cloudflare’s equity plan.</p>\n<p>Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. 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Your responsibilities will include designing end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, zero-to-one development and support of a graph ML codebase and platform, collaborating with ML engineers on performance tuning, optimizing batch data processing, and architecting pipelines to build and maintain massive graph data structures.</p>\n<p>We are looking for an experienced engineer with 8+ years of experience in ML infrastructure, including model training and model deployments. You should have hands-on experience with ML optimization, cloud-based technologies, MLOps tools, and proficiency with common programming languages and frameworks of ML. Strong focus on scalability, reliability, performance, and ease of use is essential.</p>\n<p>In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. 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This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.\\n\\nResponsibilities:\\n\\n- Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability\\n- Debug and resolve complex issues across the full stack,from hardware errors and networking to training dynamics and evaluation infrastructure\\n- Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance\\n- Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams\\n- Build and maintain production logging, monitoring dashboards, and evaluation infrastructure\\n- Add new capabilities to the training codebase, such as long context support or novel architectures\\n- Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams\\n- Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned\\n\\nYou May Be a Good Fit If You:\\n\\n- Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems\\n- Genuinely enjoy both research and engineering work,you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other\\n- Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure\\n- Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs\\n- Excel at debugging complex, ambiguous problems across multiple layers of the stack\\n- Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents\\n- Are passionate about the work itself and want to refine your craft as a research engineer\\n- Care about the societal impacts of AI and responsible scaling\\n\\nStrong Candidates May Also Have:\\n\\n- Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale\\n- Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)\\n- Published research on model training, scaling laws, or ML systems\\n- Experience with production ML systems, observability tools, or evaluation infrastructure\\n- Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence\\n\\nWhat Makes This Role Unique:\\n\\nThis is not a typical research engineering role. The work is highly operational,you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.\\n\\nHowever, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.\\n\\nWe&#39;re building a close-knit team of people who genuinely care about doing excellent work together. If you&#39;re someone who wants to be part of training the models that will define the future of AI,and you&#39;re excited about the full reality of what that entails,we&#39;d love to hear from you.\\n\\nLocation:\\n\\nThis role requires working in-office 5 days per week in London.\\n\\nDeadline to apply:\\n\\nNone. Applications will be reviewed on a rolling basis.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary:\\n\\n£260,000-£630,000 GBP\\n\\nLogistics\\n\\nMinimum education:\\n\\nBachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study:\\n\\nA field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience:\\n\\nYears of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-based hybrid policy:\\n\\nCurrently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\n\\nVisa sponsorship:\\n\\nWe do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.\\n\\nHow we&#39;re different\\n\\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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You will work directly with state governments and other public sector partners to design, build, and deploy solutions that solve real-world identity challenges.</p>\n<p>This role combines hands-on software development with consulting and customer success. 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Our technology is designed to integrate seamlessly into daily working life.</p>\n<p>We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases.</p>\n<p>Responsibilities</p>\n<ul>\n<li>You&#39;ll individually help deploy into production use cases with a considerable business impact across various industries.</li>\n<li>You&#39;ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.</li>\n<li>You&#39;ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.</li>\n<li>You&#39;ll be involved in pre-sales calls to understand potential clients&#39; needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.</li>\n<li>Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback</li>\n</ul>\n<p>About you</p>\n<ul>\n<li>You are fluent in English</li>\n<li>You hold a PhD / master in AI / data science or you’re self-made</li>\n<li>You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li>\n<li>You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases</li>\n<li>You have deep understanding of concepts and algorithms underlying machine learning and LLMs</li>\n<li>You have a deep understanding of Cloud Infrastructure and how to deploy AI based products</li>\n<li>You have deployed or built products with large scale user based</li>\n<li>You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Health Insurance</li>\n<li>Sport: $90 for gym membership allowance</li>\n<li>Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n<li>Transportation: $120/month for public transport or Parking charges reimbursed</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_7f8122a8-6d7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/5993e633-2c23-4054-801e-1da4c2adadc5","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Fine Tuning LLMs","GenAI applications","Cloud Infrastructure","Llm applications","Open-source codebases"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:46:21.019Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Fine Tuning LLMs, GenAI applications, Cloud Infrastructure, Llm applications, Open-source codebases"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_de9af0b0-6b5"},"title":"Member of Technical Staff, Internal Tools","description":"<p>At Anchorage Digital, we&#39;re building the world&#39;s most advanced digital asset platform for institutions to participate in crypto. This role allows you to join our Internal Tooling Engineering team, dedicated to dramatically improving our operational efficiency.</p>\n<p>As a Member of Technical Staff, you&#39;ll be on the front lines, building capabilities into existing back-office systems to reduce manual work and consolidate disparate systems. Your role demands a highly adaptable and comprehensive technical skillset, as you&#39;ll not only create net-new backend services and capabilities but also integrate with and build upon a wide range of existing backend and frontend services.</p>\n<p>Your impact will be significant as you collaborate directly with our Global Operations teams to identify critical pain points, prioritize initiatives, translate operational needs into technical requirements, and ultimately design, develop, and deploy solutions that empower our entire organization.</p>\n<p>We&#39;re looking for someone with 5+ years of professional experience building and enhancing complex internal software systems. You should have experience designing, building and deploying cloud native micro-services, and be passionate about building automated tests alongside your features. Real-world experience building complex distributed systems is also essential.</p>\n<p>If you&#39;re a creative, humble, and ambitious individual who prioritizes end-user experience and business value over &#39;cool tech&#39;, we&#39;d love to hear from you.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_de9af0b0-6b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anchorage Digital","sameAs":"https://www.anchorage.com/","logo":"https://logos.yubhub.co/anchorage.com.png"},"x-apply-url":"https://jobs.lever.co/anchorage/9dd147cf-03a0-4766-b230-ec8a7fe32262","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Rapidly understand and navigate diverse existing codebases across various internal systems","Author robust, high-quality, and well-tested solutions that span multiple backend and frontend services","Contribute to secure, resilient internal infrastructure from the ground up, and ensure its ongoing health","Actively participate in code reviews for changes impacting multiple teams, fostering an efficient, deterministic testing culture with an emphasis on minimizing technical debt across our internal systems","Solve complex software design problems that optimize internal operations"],"x-skills-preferred":["Python","Go","Kubernetes","System security (e.g. authentication, authorization, identity, API keys)","Background in the finance industry"],"datePosted":"2026-04-17T12:25:58.411Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Rapidly understand and navigate diverse existing codebases across various internal systems, Author robust, high-quality, and well-tested solutions that span multiple backend and frontend services, Contribute to secure, resilient internal infrastructure from the ground up, and ensure its ongoing health, Actively participate in code reviews for changes impacting multiple teams, fostering an efficient, deterministic testing culture with an emphasis on minimizing technical debt across our internal systems, Solve complex software design problems that optimize internal operations, Python, Go, Kubernetes, System security (e.g. authentication, authorization, identity, API keys), Background in the finance industry"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_85245bfa-7d4"},"title":"Member of Technical Staff, Automation Engineer","description":"<p>At Anchorage Digital, we&#39;re building the world&#39;s most advanced digital asset platform for institutions to participate in crypto. As a Member of Technical Staff, Automation Engineer, you&#39;ll join our Automation Engineering team, dedicated to dramatically improving our operational efficiency. You&#39;ll be on the front lines, building capabilities into existing back-office systems to reduce manual work and consolidate disparate systems.</p>\n<p>Your role demands a highly adaptable and comprehensive technical skillset, as you&#39;ll not only create net-new backend services and capabilities but also integrate with and build upon a wide range of existing backend and frontend services. Your impact will be significant as you collaborate directly with our Global Operations teams to identify critical pain points, prioritize initiatives, translate operational needs into technical requirements, and ultimately design, develop, and deploy solutions that empower our entire organization.</p>\n<p><strong>Technical Skills:</strong></p>\n<ul>\n<li>Rapidly understand and navigate diverse existing codebases across various internal systems.</li>\n<li>Author robust, high-quality, and well-tested solutions that span multiple backend and frontend services.</li>\n<li>Contribute to secure, resilient internal infrastructure from the ground up, and ensure its ongoing health.</li>\n<li>Actively participate in code reviews for changes impacting multiple teams, fostering an efficient, deterministic testing culture with an emphasis on minimizing technical debt across our internal systems.</li>\n<li>Solve complex software design problems that optimize internal operations.</li>\n</ul>\n<p><strong>Complexity and Impact of Work:</strong></p>\n<ul>\n<li>Break down large, cross-functional internal projects into manageable tasks, accurately estimating multi-person efforts.</li>\n<li>Ship code and solutions that directly improve the daily efficiency and productivity of global operations teams.</li>\n<li>Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice) in an evolving internal environment.</li>\n</ul>\n<p><strong>Organizational Knowledge:</strong></p>\n<ul>\n<li>Jump between and contribute to a wide array of internal systems and operational workflows supporting different business functions.</li>\n<li>Collaborate closely and cross-functionally with Global Operations and other internal stakeholders to understand critical needs and gain alignment on solutions.</li>\n<li>Help scale the team and its impact across the organization.</li>\n</ul>\n<p><strong>Communication and Influence:</strong></p>\n<ul>\n<li>Influence the technical direction and roadmap for internal systems, ensuring our technology directly addresses operational needs.</li>\n<li>Mentor and guide other engineers, sharing expertise on navigating diverse internal codebases and understanding the strategic operational goals.</li>\n</ul>\n<p><strong>You may be a fit for this role if you:</strong></p>\n<ul>\n<li>Have 5+ years of professional experience building and enhancing complex internal software systems.</li>\n<li>Have experience designing, building and deploying cloud native micro-services.</li>\n<li>Are passionate about building automated tests alongside your features.</li>\n<li>Have real-world experience building complex distributed systems.</li>\n<li>Enjoy building services from scratch and supporting them over a meaningful period of time.</li>\n<li>Have a genuine interest and pride in code quality and infrastructure.</li>\n<li>Prioritize end-user experience and business value over &#39;cool tech.&#39;</li>\n<li>Developed &#39;computer science fundamentals&#39;, i.e. algorithms, data structures and operating systems (Formal CS degree NOT required).</li>\n<li>Self-describe as some combination of the following: creative, humble, ambitious, detail-oriented, hard-working, trustworthy, eager to learn, methodical, action-oriented, and tenacious.</li>\n</ul>\n<p><strong>Although not a requirement, bonus points if:</strong></p>\n<ul>\n<li>Professional experience with Python or Go.</li>\n<li>Professional experience with Kubernetes.</li>\n<li>Have experience with system security (e.g. authentication, authorization, identity, API keys).</li>\n<li>Have a background in the finance industry.</li>\n<li>Were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.</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_85245bfa-7d4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anchorage Digital","sameAs":"https://www.anchorage.co/","logo":"https://logos.yubhub.co/anchorage.co.png"},"x-apply-url":"https://jobs.lever.co/anchorage/588378d9-985c-4da4-817c-6c11d674081f","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Rapidly understand and navigate diverse existing codebases across various internal systems","Author robust, high-quality, and well-tested solutions that span multiple backend and frontend services","Contribute to secure, resilient internal infrastructure from the ground up, and ensure its ongoing health","Actively participate in code reviews for changes impacting multiple teams, fostering an efficient, deterministic testing culture with an emphasis on minimizing technical debt across our internal systems","Solve complex software design problems that optimize internal operations"],"x-skills-preferred":["Professional experience with Python or Go","Professional experience with Kubernetes","Experience with system security (e.g. authentication, authorization, identity, API keys)","Background in the finance industry"],"datePosted":"2026-04-17T12:25:36.347Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Rapidly understand and navigate diverse existing codebases across various internal systems, Author robust, high-quality, and well-tested solutions that span multiple backend and frontend services, Contribute to secure, resilient internal infrastructure from the ground up, and ensure its ongoing health, Actively participate in code reviews for changes impacting multiple teams, fostering an efficient, deterministic testing culture with an emphasis on minimizing technical debt across our internal systems, Solve complex software design problems that optimize internal operations, Professional experience with Python or Go, Professional experience with Kubernetes, Experience with system security (e.g. authentication, authorization, identity, API keys), Background in the finance industry"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ad2a74b4-ccf"},"title":"Research Scientist, Reinforcement Learning","description":"<p>We&#39;re looking for talented Research Scientists to push forward fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.</p>\n<p>About Us</p>\n<p>DeepMind&#39;s RL team is a long-standing and tight-knit team of collaborative scientists and engineers, led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini.</p>\n<p>The Role</p>\n<p>As a Research Scientist, you&#39;ll use machine learning knowledge and technical know-how to innovate, drive research projects, as well as apply research to impactful problems. You will be expected to implement code, run experiments, own results end-to-end, communicate them internally or externally, as well as collaborate with and empower others.</p>\n<p>Your work may involve:</p>\n<ul>\n<li>Initiating or pursuing novel research directions, by proposing and testing research hypotheses.</li>\n<li>Implementing algorithm ideas and run end-to-end experiments, including setup, execution, analysis, and iteration.</li>\n<li>Sharing your skills and knowledge with other researchers.</li>\n<li>Building or improving infrastructure for research at scale.</li>\n<li>Designing evaluations and ablations that answer real questions and change minds.</li>\n<li>Analyzing results carefully, including debugging and failure analysis.</li>\n<li>Communicating clearly through plots, writeups, and paper-ready narratives and figures.</li>\n<li>Contributing to a culture of first-principles thinking, high standards, and direct, constructive feedback.</li>\n</ul>\n<p>Our projects span the full range of state-of-the-art machine learning and AI fields, including large language models, distributed machine learning techniques, and much more, but with an emphasis on reinforcement learning.</p>\n<p>We take a holistic view of people&#39;s backgrounds, and do not expect you to be an expert in all areas. We do expect you to proactively and quickly adopt new technologies and systems, but we also invest a lot of time in training and helping people to continually learn as part of their role.</p>\n<p>About You</p>\n<p>In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>A passion for reinforcement learning</li>\n<li>A research track record in RL, including peer-reviewed publications.</li>\n<li>Strong implementation ability and comfort working in research codebases.</li>\n<li>Evidence of owning experiments end-to-end, including analysis and interpretation.</li>\n<li>Strong communication skills and a bias toward clarity and honesty regarding results.</li>\n<li>High agency and drive: You push projects forward, prioritize effectively, and take initiative.</li>\n<li>PhD in ML preferred, or equivalent practical experience.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Experience with RL for sequence models, post-training, preference-based learning, or agentic systems.</li>\n<li>Experience with modern research stacks (e.g., JAX/Flax or PyTorch) and scaling experiments.</li>\n<li>Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.</li>\n<li>Comfort with scaling, evaluation methodologies, and diagnosing complex failure modes.</li>\n<li>A focus on craft: You care about doing excellent work while maintaining a high velocity.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ad2a74b4-ccf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7716037","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Reinforcement Learning","Machine Learning","Artificial Intelligence","Research Codebases","Experimentation","Communication"],"x-skills-preferred":["RL for Sequence Models","Post-Training","Preference-Based Learning","Agentic Systems","Modern Research Stacks","Scaling Experiments"],"datePosted":"2026-03-16T14:40:01.638Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Reinforcement Learning, Machine Learning, Artificial Intelligence, Research Codebases, Experimentation, Communication, RL for Sequence Models, Post-Training, Preference-Based Learning, Agentic Systems, Modern Research Stacks, Scaling Experiments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_41179743-354"},"title":"Chef d'équipe, programmation moteur","description":"<p><strong>Engineering</strong></p>\n<p><strong>What We Do</strong></p>\n<p>Unreal Engine has been at the forefront of real-time entertainment for over 20 years. Our team of expert programmers innovates constantly to improve the tools and technology designed to give developers incredible means to create content on a global scale.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>As a member of the Unreal Engine team, you will lead a group responsible for the entire technological infrastructure behind Unreal Editor for Fortnite (UEFN). Your mission will be to enable creators to build ever-larger and higher-quality experiences, while pushing the limits of content creation and delivery. In addition to evolving our tools for user-generated content, you will participate in adapting this technology to meet the needs of our titles, such as Battle Royale, LEGO Fortnite, and more. Our work will redefine the design of these products and transform Fortnite into a true open metaverse platform. Most importantly, you will work with a creative, energetic, and passionate team to continue making Unreal the best game development engine on the market.</p>\n<p><strong>What You&#39;ll Be Responsible For</strong></p>\n<ul>\n<li>Lead a team that ensures the maintenance, optimization, and improvement of processes and tools behind UEFN</li>\n<li>Ensure strategic direction of UEFN production chain development in the medium and long term</li>\n<li>Design systems and approaches that enable progressive, large-scale changes to a product in continuous service</li>\n<li>Collaborate closely with game teams to gather and meet partner requirements</li>\n<li>Actively contribute to the codebase, diagnose problems, and ensure rapid resolution</li>\n<li>Manage team priorities and delivery schedules, anticipating risks and developing contingency plans</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Proven experience in leading a programming team</li>\n<li>Solid C++ programming skills</li>\n<li>Confirmed experience in designing, developing, and launching complex systems</li>\n<li>Ability to drive long-term development objectives while achieving tangible results in the short term, holding the team accountable for their objectives</li>\n<li>Marked passion for optimizing developer workflow methods and user experience</li>\n<li>Ability to collaborate across the company, building relationships and coordinating efforts with other teams</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>We pay 100% of employee and dependent benefits premiums, and offer additional coverage for medical, dental, and vision care, serious illness, telemedicine, life insurance, death or disability insurance, and long-term disability insurance. We also offer a weekly indemnity (short-term disability) and a retirement savings plan with employer matching contributions. In addition to the employee assistance program, we offer a comprehensive mental well-being program through Modern Health, a provider that offers free therapy and coaching services to employees and dependents.</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_41179743-354","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5809450004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","programming","leadership","system design","team management","codebase contribution","problem diagnosis","risk anticipation"],"x-skills-preferred":["game development","Unreal Engine","Fortnite","Battle Royale","LEGO Fortnite"],"datePosted":"2026-03-08T22:13:12.398Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, programming, leadership, system design, team management, codebase contribution, problem diagnosis, risk anticipation, game development, Unreal Engine, Fortnite, Battle Royale, LEGO Fortnite"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4e0b9271-cdd"},"title":"Research Engineer / Scientist, Alignment Science","description":"<p><strong>About the role:</strong></p>\n<p>You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you&#39;ll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.</p>\n<p>Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include...</p>\n<ul>\n<li><strong>Scalable Oversight:</strong> Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.</li>\n</ul>\n<ul>\n<li><strong>AI Control:</strong> Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.</li>\n</ul>\n<ul>\n<li><strong>Alignment Stress-testing</strong> <strong>:</strong> Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.</li>\n</ul>\n<ul>\n<li><strong>Automated Alignment Research:</strong> Building and aligning a system that can speed up &amp; improve alignment research.</li>\n</ul>\n<ul>\n<li><strong>Alignment Assessments</strong>: Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card), misalignment-risk safety cases, and coordination with third-party evaluators.</li>\n</ul>\n<ul>\n<li><strong>Safeguards Research</strong>: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.</li>\n</ul>\n<ul>\n<li><strong>Model Welfare:</strong> Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more.</li>\n</ul>\n<p>_Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area._</p>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subvertinng our interventions.</li>\n</ul>\n<ul>\n<li>Run multi-agent reinforcement learning experiments to test out techniques like AI Debate.</li>\n</ul>\n<ul>\n<li>Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.</li>\n</ul>\n<ul>\n<li>Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.</li>\n</ul>\n<ul>\n<li>Contribute ideas, figures, and writing to research papers, blog posts, and talks.</li>\n</ul>\n<ul>\n<li>Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have significant software, ML, or research engineering experience</li>\n</ul>\n<ul>\n<li>Have some experience contributing to empirical AI research projects</li>\n</ul>\n<ul>\n<li>Have some familiarity with technical AI safety research</li>\n</ul>\n<ul>\n<li>Prefer fast-moving collaborative projects to extensive solo efforts</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>Care about the impacts of AI</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have experience authoring research papers in machine learning, NLP, or AI safety</li>\n</ul>\n<ul>\n<li>Have experience with LLMs</li>\n</ul>\n<ul>\n<li>Have experience with reinforcement learning</li>\n</ul>\n<ul>\n<li>Have experience with Kubernetes clusters and complex shared codebases</li>\n</ul>\n<p><strong>Candidates need not have:</strong></p>\n<ul>\n<li>100% of the skills needed to perform the job</li>\n</ul>\n<ul>\n<li>Formal certifications or education credentials</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’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:</p>\n<p>$350,000 \\- $500,000USD</p>\n<p><strong><strong>Logistics</strong></strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruits through our website and other job boards, and we will never ask you to pay for any part of the recruitment process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4e0b9271-cdd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4631822008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $500,000USD","x-skills-required":["Python","Machine Learning","Research Engineering","AI Safety","Scalable Oversight","AI Control","Alignment Stress-testing","Automated Alignment Research","Alignment Assessments","Safeguards Research","Model Welfare"],"x-skills-preferred":["Experience authoring research papers in machine learning, NLP, or AI safety","Experience with LLMs","Experience with reinforcement learning","Experience with Kubernetes clusters and complex shared codebases"],"datePosted":"2026-03-08T13:51:34.613Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, Research Engineering, AI Safety, Scalable Oversight, AI Control, Alignment Stress-testing, Automated Alignment Research, Alignment Assessments, Safeguards Research, Model Welfare, Experience authoring research papers in machine learning, NLP, or AI safety, Experience with LLMs, Experience with reinforcement learning, Experience with Kubernetes clusters and complex shared codebases","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_3a46f709-72c"},"title":"DevEx Engineer","description":"<p><strong>About the Role</strong></p>\n<p>You will be a core contributor on the DevEx team, designing and building the systems, tools, and workflows that make every Cursor developer incredibly productive.</p>\n<p>Your mission is to create a world-class developer experience inside Cursor: fast builds, intuitive tooling, reliable environments, and seamless CI/CD. 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Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas.</li>\n</ol>\n<ol>\n<li><strong>System‑Level Stress Testing</strong> – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve.</li>\n</ol>\n<ol>\n<li><strong>Alignment Stress‑Testing Research</strong> – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress.</li>\n</ol>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap.</p>\n<p><strong><strong>In this role, you will</strong></strong></p>\n<ul>\n<li>Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.</li>\n</ul>\n<ul>\n<li>Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI.</li>\n</ul>\n<ul>\n<li>Create automated tools and infrastructure to scale automated red‑teaming and stress testing.</li>\n</ul>\n<ul>\n<li>Conduct research on failure modes of alignment techniques and propose improvements.</li>\n</ul>\n<ul>\n<li>Publish influential internal or external papers that shift safety strategy or industry practice. 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