Anthropic Fellows Program, The Anthropic Institute (Economics & Policy) at Anthropic

Hybrid - London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

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The Anthropic Fellows Program is a 4‑month full‑time research fellowship that provides funding, mentorship, and infrastructure to conduct empirical AI research across multiple workstreams. Fellows work on projects aligned with Anthropic’s research priorities, produce public outputs such as papers, and receive a weekly stipend plus compute and research funding. The program is remote‑friendly, offering shared workspaces in Berkeley, California or London, UK, and supports a diverse, collaborative research community.

Salary

GBP 3,850 - 2,310

Requirements

Skills

  • Strong technical background in computer science, mathematics, or physics
  • Fluent in Python programming
  • Available to work full-time on the Fellows program
  • Motivated by ensuring AI is safe and beneficial for society
  • Excited to transition into empirical AI research and interested in a full-time role at Anthropic
  • Thrive in fast‑paced, collaborative environments
  • Can implement ideas quickly and communicate clearly
  • 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

Responsibilities

  • Conduct empirical research on AI’s economic effects, drawing on external data sources
  • Develop new methodological approaches for studying AI impact on labor markets, the future of work, and society
  • Analyze the offense–defense balance for AI‑enabled cyber and bio capabilities as models scale
  • Measure model performance increases with custom harnesses
  • Identify market‑driven mechanisms that could improve societal resilience to anticipated AI threats
  • Identify metrics relating to AI R&D that could serve as early warning signals for recursive self‑improvement
  • Produce public outputs such as paper submissions

Technologies

PythonOpen‑source modelsPublic APIs

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