Research Engineer / Performance Engineer, RL Distributed Systems

Summary

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…

This is a short summary. The full description, and the application form, are on Anthropic’s own careers page.

Location

San Francisco, CA | New York City, NY | Seattle, WA

Visa sponsorship

Yes

Relocation support

No

Salary

$500,000 — $850,000 USD

Role family

Data Science / ML / AI

Posted

30 Sept 2026 · 17 days ago

Last checked

17 Oct 2026