San Francisco paper
Tech and design

Research Engineer, Machine Learning (RL Velocity)

AnthropicSan Francisco and New York

As printed
  • Pay$500,000–850,000 per year
  • WhereSan Francisco and New York
  • WorkHybrid
  • TermsFull-time
  • ReferenceRef. 7599
  • In the paper untilThu 19 Nov

Skills and tools

  • Reinforcement learning infrastructure
  • Distributed systems
  • JAX
  • PyTorch
  • Machine learning infrastructure
  • Research tooling
  • Profiling
  • Performance optimization
  • Systems reliability
  • Communication

You’ll need

  • Bachelor's degree
  • Travel required

Perks

  • Equity donation matching
  • Paid time off
  • Paid parental leave
  • Flexible hours

About the job

Hybrid, with at least 25% office attendance. Travel required. Build and improve RL training infrastructure, remove bottlenecks, and support research teams. Bachelor's degree or equivalent experience. Equity donation matching, paid time off, paid parental leave, and flexible hours.

This is our short summary. Read the full posting on boards.greenhouse.io.

Found on boards.greenhouse.io. Not placed by the employer; applications go to the original posting.

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