Anthropic Fellows Program, Reinforcement Learning at Anthropic

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

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The Anthropic Fellows Program, Reinforcement Learning, invites promising technical talent to undertake a 4‑month full‑time research cohort. Fellows receive mentorship, funding for compute and research expenses, and a weekly stipend (3,850 USD / 2,310 GBP / 4,300 CAD). The role focuses on building reinforcement learning environments, improving model safety, and producing public outputs such as research papers. Applicants should have a strong background in computer science, mathematics, physics, or related disciplines, be fluent in Python, and be eager to transition into empirical AI research with a focus on safety and societal impact.

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
  • Motivated by ensuring AI is safe and beneficial for society
  • Excited to transition into empirical AI research and pursue 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
  • Strong software engineering skills with experience building complex ML systems
  • Balance research exploration with engineering rigor and operational reliability
  • Comfortable working with large‑scale distributed systems

Responsibilities

  • Conduct research on reinforcement learning projects aligned with Anthropic’s research priorities
  • Build RL environments to improve Claude models on safety‑related tasks
  • Implement solutions in RL algorithms and research areas such as generalization and data quality
  • Produce public outputs such as papers
  • Participate in weekly research discussions and mentorship sessions
  • Operate within a shared workspace (Berkeley, CA or London, UK)

Technologies

Python

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