Description

You'll conduct full-time empirical AI research on reinforcement learning with mentorship from Anthropic researchers, using external infrastructure such as open-source models and public APIs. The program aims to produce a public output like a paper submission, with over 80% of past fellows producing papers.

Requirements

• Strong technical background in computer science, mathematics, or physics
• Excited to transition into empirical AI research
• Thrives in fast-paced collaborative environments
• Can implement ideas quickly and communicate clearly
• Motivated to make AI safe and beneficial

Responsibilities

• Conduct empirical AI research on reinforcement learning
• Work on a project aligned with research priorities
• Produce a public output such as a paper submission