Anthropic
Anthropic Fellows Program, ML Systems & Reinforcement Learning
Full-timeNot specifiedLondon, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CARemoters,Apply by 10 Oct 2026
Overview
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 quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
What you'll do
- Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application .
- You can see an overview of the current workstreams below: AI Safety Fellows AI Security Fellows ML Systems & Performance Fellows Reinforcement Learning Fellows Economics & Societal Impacts Fellows This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting .
- Potential mentors include: Alwin Peng Zygi Straznickas Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.
- Potential research areas and mentors include: Ruhua Jiang Kaidi Cao Sunny Duan David Brandfonbrener Colt Steele Dino Distefano Will Williams Projects in this workstream may include: Building model-based tools to better understand AI training data and improve training data
Requirements
- Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application .
- You can see an overview of the current workstreams below: AI Safety Fellows AI Security Fellows ML Systems & Performance Fellows Reinforcement Learning Fellows Economics & Societal Impacts Fellows This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting .
- Potential mentors include: Alwin Peng Zygi Straznickas Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.
- Potential research areas and mentors include: Ruhua Jiang Kaidi Cao Sunny Duan David Brandfonbrener Colt Steele Dino Distefano Will Williams Projects in this workstream may include: Building model-based tools to better understand AI training data and improve training data
Skills
PythonGoRAG