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
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WA

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

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