Research Engineer, Machine Learning (RL Velocity)
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | New York City · Remote-friendly
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- Company
- Anthropic
- Location
- Remote-Friendly (Travel-Required) | San Francisco, CA | New York City
- Salary
- $500,000 — $850,000
- Posted
- April 23, 2026
About this job
About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent…
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