Research Engineer / Performance Engineer, RL Distributed Systems at a…
Company: anthropic
Location: San Francisco, CA | New York City, NY | Seattle, WA
Workplace: On-site
Seniority: Mid-level
Category: Engineering
Compensation: ~£395k–£672k
Posted: 2026-09-29
Stack: python, rust, go, kubernetes, aws
Role overview
Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines…