London paper
  • Pay£370,000–630,000 per year
  • WhereLondon
  • WorkHybrid
  • TermsFull-time
  • ReferenceRef. 8764
  • In the paper untilThu 19 Nov

Skills and tools

  • Reinforcement learning
  • ML infrastructure
  • Distributed systems
  • JAX
  • PyTorch
  • RL training infrastructure
  • Research tooling
  • Debugging
  • Profiling
  • Communication

You’ll need

  • Bachelor's degree or equivalent

Perks

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

About the job

Hybrid, with at least 25% office attendance. Build and improve RL training infrastructure, remove bottlenecks and improve research-run reliability. Strong software engineering fundamentals. Experience in ML infrastructure, distributed systems or research tooling. Bachelor’s degree or equivalent. JAX and PyTorch familiarity an advantage. Flexible hours, generous vacation and parental leave, and optional equity donation matching.

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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