Anthropic
Research Engineer, Machine Learning (RL Velocity)
US
UTC-10 to UTC-5 $500k to $850k per year Full time
Mid level
- Where you can live
- Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY
- Working hours
- Overlap with UTC-10 to UTC-5
- Salary
- USD 500,000 to 850,000 per year
- Posted
- April 23, 2026
PyTorch
Machine Learning
Summary from the posting
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
This is a short summary. The full description, requirements and the application form are on Anthropic's own career page.