{"schemaVersion":"jobsearcher.job.v1","id":"07159eeafca4e6936498184f","url":"https://jobsearcher.com/jobs/07159eeafca4e6936498184f","canonicalUrl":"https://jobsearcher.com/jobs/07159eeafca4e6936498184f","title":"Anthropic Fellows Program","description":"Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n\nApply using this link We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn’t work for you.\n\nAnthropic Fellows Program overview\nThe Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent – regardless of previous experience.\n\nFellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.\n\nWe run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.\n\nWhat to expect\n\n4 months of full‑time research\n\nDirect mentorship from Anthropic researchers\n\nAccess to a shared workspace (in either Berkeley, California or London, UK)\n\nConnection to the broader AI safety and security research community\n\nWeekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)\n\nFunding for compute (~$15k/month) and other research expenses\n\nThe interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.\n\nCompensation\nThe expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).\n\nFellows workstreams\nDue to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.\n\nSome of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:\n\nAI Safety Fellows\n\nAI Security Fellows\n\nML Systems & Performance Fellows\n\nEconomics Fellows\n\nAcross the workstreams, you may be a good fit if you:\n\nAre motivated by making sure AI is safe and beneficial for society as a whole\n\nAre excited to transition into empirical AI research and would be interested in a full‑time role at Anthropic\n\nHave a strong technical background in computer science, mathematics, or physics\n\nThrive in fast‑paced, collaborative environments\n\nCan implement ideas quickly and communicate clearly\n\nStrong candidates may also have:\n\nStrong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)\n\nExperience in areas of research or engineering related to their workstream\n\nCandidates must be:\n\nFluent in Python programming\n\nAvailable to work full‑time on the Fellows program\n\nAI Safety Fellows\nFellows will undergo a project selection & mentor matching process. Potential mentors include: Sam Bowman, Alex Tamkin, Trenton Bricken, Samuel Marks, Kyle Fish, Ethan Perez.\n\nPotential research areas include:\n\nScalable Oversight\n\nAdversarial Robustness and AI Control\n\nModel Organisms\n\nModel Internals / Mechanistic Interpretability\n\nAI Welfare\n\nOpen‑source circuits\n\nYou might be a particularly great fit for this workstream if you:\n\nAre motivated by reducing catastrophic risks from advanced AI systems\n\nHave experience with empirical ML research projects\n\nHave experience working with large language models\n\nHave experience in one of the research areas mentioned above\n\nHave a track record of open‑source contributions\n\nAI Security Fellows\nPotential mentors include: (none specified previously; list omitted for brevity.)\n\nYou might be a particularly great fit for this workstream if you:\n\nAre motivated by reducing catastrophic risks from advanced AI systems\n\nHave contributed to open‑source projects in LLM‑ or security‑adjacent repositories\n\nHave demonstrated success in bringing clarity and ownership to ambiguous technical problems\n\nHave experience with pentesting, vulnerability research, or other offensive security work\n\nHave a demonstrated willingness to do the “dirty work” that produces high‑quality outputs\n\nHave reported CVEs or been awarded bug bounties\n\nHave experience with empirical ML research projects\n\nHave experience with deep learning frameworks and experiment management\n\nML Systems & Performance Fellows\nPotential mentors include: Sunny Duan, Will Williams.\n\nProjects may include:\n\nBuilding a CPU simulator for accelerator workloads\n\nAdding backends for different accelerators on an open source project\n\nBuilding on‑demand infrastructure for other infrastructure heavy fellow projects\n\nBuilding complex synthetic data or environment pipelines\n\nStudying and improving model training processes\n\nYou might be a particularly great fit for this workstream if you:\n\nHave strong software engineering skills with experience building complex ML systems\n\nCan balance research exploration with engineering rigor and operational reliability\n\nEnjoy collaborating across research and engineering disciplines\n\nAre comfortable working with large‑scale distributed systems and high‑performance computing\n\nHave experience with training, fine‑tuning, or evaluating large language models\n\nAre adept at analyzing and debugging model training processes\n\nAnthropic Institute Fellows (Economics & Policy)\nPotential mentors and research areas include: (none specified; omitted for brevity.)\n\nProjects may include:\n\nDesigning and conducting empirical research on AI’s economic effects\n\nDeveloping new methodological approaches for studying AI’s impact on labor markets, the future of work, and society\n\nAnalyzing the offense–defense balance for AI‑enabled cyber and bio capabilities as models scale\n\nMeasuring the extent to which model performance increases with custom harnesses\n\nIdentifying market‑driven mechanisms that could improve societal resilience to anticipated threats from AI systems\n\nIdentifying metrics relating to AI R&D that could serve as early warning signals for recursive self‑improvement\n\nYou might be a particularly great fit for this workstream if you:\n\nHave an interest in economics or policy research; prior experience in this area is a plus but not required\n\nAre adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda\n\nAre skilled at writing up and communicating your results, even when they’re null or unexpected\n\nAre passionate about translating research insights into actionable recommendations for improving AI systems and informing policy\n\nLogistics\nTo participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.\n\nWorkspace locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full‑or part‑time) during the program.\n\nVisa sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full‑time work authorization in the UK, the US, or Canada.\n\nProgram duration: The program runs for 4 months, full‑time. If you can’t commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case‑by‑case basis.\n\nPlease note: We do not guarantee that we will make any full‑time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full‑time roles at Anthropic. In previous cohorts, 25‑50% of fellows received a full‑time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.\n\nProgram is managed by Constellation, our recruiting partner. Updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities‑focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.\n\n#J-18808-Ljbffr","company":"Heelsandtech","rawCompany":"heelsandtech","city":"Berkeley","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-18T03:20:49.680Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Anthropic Fellows Program","description":"Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n\nApply using this link We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn’t work for you.\n\nAnthropic Fellows Program overview\nThe Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent – regardless of previous experience.\n\nFellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.\n\nWe run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.\n\nWhat to expect\n\n4 months of full‑time research\n\nDirect mentorship from Anthropic researchers\n\nAccess to a shared workspace (in either Berkeley, California or London, UK)\n\nConnection to the broader AI safety and security research community\n\nWeekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)\n\nFunding for compute (~$15k/month) and other research expenses\n\nThe interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.\n\nCompensation\nThe expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).\n\nFellows workstreams\nDue to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.\n\nSome of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:\n\nAI Safety Fellows\n\nAI Security Fellows\n\nML Systems & Performance Fellows\n\nEconomics Fellows\n\nAcross the workstreams, you may be a good fit if you:\n\nAre motivated by making sure AI is safe and beneficial for society as a whole\n\nAre excited to transition into empirical AI research and would be interested in a full‑time role at Anthropic\n\nHave a strong technical background in computer science, mathematics, or physics\n\nThrive in fast‑paced, collaborative environments\n\nCan implement ideas quickly and communicate clearly\n\nStrong candidates may also have:\n\nStrong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)\n\nExperience in areas of research or engineering related to their workstream\n\nCandidates must be:\n\nFluent in Python programming\n\nAvailable to work full‑time on the Fellows program\n\nAI Safety Fellows\nFellows will undergo a project selection & mentor matching process. Potential mentors include: Sam Bowman, Alex Tamkin, Trenton Bricken, Samuel Marks, Kyle Fish, Ethan Perez.\n\nPotential research areas include:\n\nScalable Oversight\n\nAdversarial Robustness and AI Control\n\nModel Organisms\n\nModel Internals / Mechanistic Interpretability\n\nAI Welfare\n\nOpen‑source circuits\n\nYou might be a particularly great fit for this workstream if you:\n\nAre motivated by reducing catastrophic risks from advanced AI systems\n\nHave experience with empirical ML research projects\n\nHave experience working with large language models\n\nHave experience in one of the research areas mentioned above\n\nHave a track record of open‑source contributions\n\nAI Security Fellows\nPotential mentors include: (none specified previously; list omitted for brevity.)\n\nYou might be a particularly great fit for this workstream if you:\n\nAre motivated by reducing catastrophic risks from advanced AI systems\n\nHave contributed to open‑source projects in LLM‑ or security‑adjacent repositories\n\nHave demonstrated success in bringing clarity and ownership to ambiguous technical problems\n\nHave experience with pentesting, vulnerability research, or other offensive security work\n\nHave a demonstrated willingness to do the “dirty work” that produces high‑quality outputs\n\nHave reported CVEs or been awarded bug bounties\n\nHave experience with empirical ML research projects\n\nHave experience with deep learning frameworks and experiment management\n\nML Systems & Performance Fellows\nPotential mentors include: Sunny Duan, Will Williams.\n\nProjects may include:\n\nBuilding a CPU simulator for accelerator workloads\n\nAdding backends for different accelerators on an open source project\n\nBuilding on‑demand infrastructure for other infrastructure heavy fellow projects\n\nBuilding complex synthetic data or environment pipelines\n\nStudying and improving model training processes\n\nYou might be a particularly great fit for this workstream if you:\n\nHave strong software engineering skills with experience building complex ML systems\n\nCan balance research exploration with engineering rigor and operational reliability\n\nEnjoy collaborating across research and engineering disciplines\n\nAre comfortable working with large‑scale distributed systems and high‑performance computing\n\nHave experience with training, fine‑tuning, or evaluating large language models\n\nAre adept at analyzing and debugging model training processes\n\nAnthropic Institute Fellows (Economics & Policy)\nPotential mentors and research areas include: (none specified; omitted for brevity.)\n\nProjects may include:\n\nDesigning and conducting empirical research on AI’s economic effects\n\nDeveloping new methodological approaches for studying AI’s impact on labor markets, the future of work, and society\n\nAnalyzing the offense–defense balance for AI‑enabled cyber and bio capabilities as models scale\n\nMeasuring the extent to which model performance increases with custom harnesses\n\nIdentifying market‑driven mechanisms that could improve societal resilience to anticipated threats from AI systems\n\nIdentifying metrics relating to AI R&D that could serve as early warning signals for recursive self‑improvement\n\nYou might be a particularly great fit for this workstream if you:\n\nHave an interest in economics or policy research; prior experience in this area is a plus but not required\n\nAre adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda\n\nAre skilled at writing up and communicating your results, even when they’re null or unexpected\n\nAre passionate about translating research insights into actionable recommendations for improving AI systems and informing policy\n\nLogistics\nTo participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.\n\nWorkspace locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full‑or part‑time) during the program.\n\nVisa sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full‑time work authorization in the UK, the US, or Canada.\n\nProgram duration: The program runs for 4 months, full‑time. If you can’t commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case‑by‑case basis.\n\nPlease note: We do not guarantee that we will make any full‑time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full‑time roles at Anthropic. In previous cohorts, 25‑50% of fellows received a full‑time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.\n\nProgram is managed by Constellation, our recruiting partner. Updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities‑focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.\n\n#J-18808-Ljbffr","datePosted":"2026-06-18T03:20:49.680Z","dateModified":"2026-06-18T03:20:49.680Z","hiringOrganization":{"@type":"Organization","name":"Heelsandtech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07159eeafca4e6936498184f"},"url":"https://jobsearcher.com/jobs/07159eeafca4e6936498184f"}}