Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API
Machine Learning
Mathematics @ 6
Python @ 5
Reinforcement Learning
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Overview
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Anthropic Fellows Program is designed to foster AI research and engineering talent, providing 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 Anthropic research priorities, with the goal of producing a public output (e.g. a paper submission).
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
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).
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.
Fellows Workstreams
The program includes multiple workstreams. This posting is for Economics & Societal Impacts.
Workstreams listed:
- AI Safety Fellows
- AI Security Fellows
- ML Systems & Performance Fellows
- Reinforcement Learning Fellows
- Economics & Societal Impacts Fellows
Economics & Policy: Mentors, Research Areas, & Past Projects
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
- Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
- Measuring the extent to which model performance increases with custom harnesses?
- Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems?
- Identifying which metrics relating to AI R&D could service as early warning signals for recursive self-improvement
Past project examples:
- How AI Impacts Skill Formation: Judy Shen and Alex Tamkin
- Stress-Testing Model Specs Reveals Character Differences among Language Models (arxiv link)
Across the Workstreams: Fit
You may be a good fit if you:
- Are motivated by making sure AI is safe and beneficial for society as a whole
- Are excited to transition into empirical AI research and would be 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
Unique candidate criteria for this workstream:
- Have an interest in economics or policy research; prior experience in this area is a plus but not required
- Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda
- Are skilled at writing up and communicating your results, even when they're null or unexpected
- Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy
Requirements
- Fluent in Python programming
- Available to work full-time on the Fellows program
Logistics
- Work authorization requirement: you must have work authorization in the US, UK, or Canada and be located in that country during the program.
- Workspace locations: shared workspaces in London and Berkeley; fellows work from designated shared workspaces and mentors will visit.
- Remote: open to remote fellows in the UK, US, or Canada.
- Visa Sponsorship: Anthropic is not currently able to sponsor visas for fellows; to participate, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
- Program duration: runs for 4 months, full-time.
Applications and interviews are managed by Constellation, recruiting partner.
Policies Note
The posting states that Anthropic’s full-time role policies (including visa sponsorship) do NOT apply to the Fellows Program.