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Research Engineer, Machine Learning (RL Velocity)

Anthropic · London

£370k–£630k5 months ago

HybridFull Timereinforcement learningml infrastructuredistributed training

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