Anthropic Fellows Program - The Anthropic Institute Fellows (Economics & Policy)

Anthropic·London·United Kingdom·Research / Applied Science

Anthropic is hiring a Anthropic Fellows Program - The Anthropic Institute Fellows (Economics & Policy) in London. Posted 2026-05-20; applications close 2026-07-19 (in 59 days).

Role details

About Anthropic

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 growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Apply 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.

This page is specific to one of the Anthropic Fellows Workstreams; see also the main Anthropic Fellows posting.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent—regardless of previous experience.

Fellows will primarily use external infrastructure (e.g., open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g., a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

  • 4 months of full-time research
  • Direct mentorship from Anthropic researchers
  • Access to a shared workspace (in either Berkeley, California or London, UK)
  • Connection to the broader AI safety and security research community
  • Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
  • Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.

We 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 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're interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications, making representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are 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.

Some workstreams may include unique assessment steps; please indicate workstream preferences in the application. An overview of the current workstreams:

  1. AI Safety Fellows
  2. AI Security Fellows
  3. ML Systems & Performance Fellows
  4. Reinforcement Learning Fellows
  5. Economics & Societal Impacts Fellows

Across the workstreams, you may be a good fit if you:

  • Are motivated by making AI safe and beneficial for society
  • Are excited to transition into empirical AI research and are interested in a full-time role at Anthropic
  • Have a strong technical background in computer science, mathematics, or physics
  • Thrive in fast-paced, collaborative environments
  • Can implement ideas quickly and communicate clearly

Strong candidates may also have:

  • Strong background in a discipline relevant to a specific Fellows workstream (e.g., economics, social sciences, or cybersecurity)
  • Experience in areas of research or engineering related to their workstream

Candidates must be:

  • Fluent in Python programming
  • Available to work full-time on the Fellows program

The Anthropic Institute Fellows (Economics & Policy)

Mentors, research areas, & past projects

Fellows will undergo a project selection and mentor matching process. Potential research areas and mentors include:

  • Economics
    • Maxim Massenkoff
    • Peter McCrory
  • Policy, Security, and Society
    • Jack Clark
    • Marina Favaro
    • Jim Baker

Projects in this workstream may include:

  • Designing and conducting empirical research on AI's economic effects, drawing on external data sources
  • Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society
  • Analyzing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
  • Measuring whether model performance increases with custom harnesses
  • Identifying market-driven mechanisms that could improve societal resilience to anticipated AI threats
  • Identifying metrics relating to AI R&D that could serve as early warning signals for recursive self-improvement

For past project examples, see:

  • How AI Impacts Skill Formation: Judy Shen and Alex Tamkin
  • Stress-Testing Model Specs Reveals Character Differences among Language Models: Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

  • Have an interest in economics or policy research; prior experience is a plus but not required
  • Are adaptable and collaborative, able to take direction and contribute to team priorities
  • Are skilled at writing up and communicating results, even when they’re null or unexpected
  • Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy

Logistics

Logistics Requirements

To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace 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.

Visa 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.

Program 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.

Please 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.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and 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.

Apply here

Apply here

The below are Anthropic's policies for full-time roles. These do NOT apply to the Fellows Program.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

Visa sponsorship: We do sponsor visas; however, we aren’t able to sponsor every role and candidate. If we make you an offer, we will make every reasonable effort to obtain a visa with the support of an immigration lawyer.

We 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. We value diverse perspectives and encourage applications from individuals of all backgrounds.

How we're different

We believe that high-impact AI research is big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts, valuing impact and steerable, trustworthy AI. We view AI research as an empirical science with parallels to physics and biology, and we highly value communication skills.

Our recent direction includes work on GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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