Research Engineer, Machine Learning (RL Velocity)
Anthropic · London
£370k–£630k5 months ago
HybridFull Timereinforcement learningml infrastructuredistributed training
£370k–£630k
5 months ago
Salary
£370k–£630k
Workplace
Hybrid
Employment
Full Time
Location
London
Posted
5 months ago
Summary
Research engineer on anthropic’s rl velocity team, building and improving rl training infrastructure and tooling to increase efficiency and reliability of the rl science stack. The role focuses on removing bottlenecks across the rl stack, partnering with researchers and adjacent engineering teams, and owning end-to-end reliability and performance of research runs. This is a location-based hybrid role with staff expected in an office at least 25% of the time.
Responsibilities
- Build and improve rl training infrastructure
- Identify and remove bottlenecks across rl stack
- Debug and profile rl training systems
- Partner with researchers and engineering teams
- Ship tooling to speed up research
- Own reliability and performance of research runs
- Contribute to rl scale design decisions
jaxpytorchdistributed systemsml infrastructurerl algorithms
reinforcement learningml infrastructuredistributed trainingresearch toolingrl reliability and performance
