Research Engineer, Machine Learning (rl Velocity)

Anthropic

San Francisco, California, United States
Base: $500,000 - $850,000 usd; bonus/equity: not s...
Remote
Strong software engineering fundamentals
Experience with ml infrastructure or distributed systems
Track record of building performant reliable systems
The team owns the efficiency and reliability of the RL Science stack to help researchers iterate quickly on training runs

Job Summary

  • The team owns the efficiency and reliability of the RL Science stack to help researchers iterate quickly on training runs.
  • Responsibilities include identifying bottlenecks across the RL stack through debugging, profiling, and rearchitecting where needed.
  • Anthropic values high-impact big science research and views AI as an empirical science requiring strong communication skills.

Matching Summary

The team owns the efficiency and reliability of the RL Science stack to help researchers iterate quickly on training runs.

Salary

Base: $500,000 - $850,000 USD; Bonus/Equity: Not specified; Benefits: Competitive compensation, optional equity donation matching, generous vacation and parental leave

Skills & Requirements

Must-have

  • Strong software engineering fundamentals
  • Experience with ML infrastructure or distributed systems
  • Track record of building performant reliable systems

Nice-to-have

  • Experience with large-scale distributed training
  • Familiarity with JAX or PyTorch frameworks
  • Bias toward shipping and iterating quickly

Key Requirements

  • Bachelor's degree or equivalent experience
  • Years of experience correlating with internal job level

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter