ML Systems & Reinforcement Learning Fellow

About the role

The Anthropic Fellows Program offers a four‑month, full‑time research fellowship focused on Machine Learning Systems and Reinforcement Learning. Fellows work on empirical projects aligned with Anthropic’s AI safety priorities and aim to produce a public research output such as a paper.

Key responsibilities

• Design and execute research experiments using open‑source models and public APIs.
• Collaborate with Anthropic researchers for mentorship and feedback.
• Produce a research deliverable (e.g., conference paper or technical report).
• Utilise compute resources funded by the program (~$15k/month).

Required profile

• Strong interest in AI safety, ML systems, or reinforcement learning.
• Ability to work independently on a research project for four months.
• Willingness to engage with a diverse research community.

Required skills

What we offer

• Weekly stipend of $3,850 USD (or equivalent in GBP/CAD).
• Funding for compute and research expenses.
• Direct mentorship from Anthropic researchers.
• Access to a shared workspace in London or Berkeley.
• Connection to the broader AI safety and security research community.