Research Engineer, Machine Learning (rl Velocity)

Anthropic

Remote, US
Base: $500,000 - $850,000 usd; bonus/equity: not s...
Fully remote
Strong software engineering fundamentals
Track record building performant reliable systems
Experience with ml infrastructure or distributed systems
Anthropic is seeking a Research Engineer for their Remote RL Velocity team to enhance their reinforcement learning infrastructure, enabling faster and more efficient research. The ideal candidate should possess strong software engineering skills and experience in machine learning infrastructure, distributed systems, or research tooling

Job Summary

  • Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for society.
  • The RL Velocity team owns the efficiency and reliability of the RL Science stack, enabling researchers to iterate quickly on training runs.
  • Candidates must have strong software engineering fundamentals and a track record of building performant, reliable systems.

Matching Summary

Match Score: 85

Anthropic is seeking a Research Engineer for their Remote RL Velocity team to enhance their reinforcement learning infrastructure, enabling faster and more efficient research. The ideal candidate should possess strong software engineering skills and experience in machine learning infrastructure, distributed systems, or research tooling.

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
  • Track record building performant reliable systems
  • Experience with ML infrastructure or distributed 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 combination of education and experience
  • Field relevant to the role as demonstrated through coursework or professional experience

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter