RL Training Infrastructure Engineer

New

Skills

Asynchronous RL Debugging Distributed Systems Machine Learning Infrastructure Multi-Agent Systems Networking Orchestration Performance Optimization Reinforcement Learning (RL) Scalability

The Software Engineer for RL Training Infra will play a pivotal role in ensuring the smooth operation of large-scale reinforcement learning training runs. This position involves addressing critical infrastructure issues and debugging various systems including training, inference, orchestration, and distributed infrastructure.

Key Responsibilities
  • Resolve urgent infrastructure problems to maintain training efficiency.
  • Debug issues across training systems and distributed infra.
  • Enhance the reliability and performance of RL training runs.
  • Collaborate with researchers to facilitate complex integrations.
  • Develop tools and systems to mitigate recurring operational challenges.
Required Skills & Qualifications
  • Strong experience with machine learning infrastructure.
  • Familiarity with reinforcement learning and high-throughput ML systems.
  • Expertise in debugging distributed systems and performance optimization.
  • Ability to thrive in fast-paced and high-ownership environments.
  • Excellent communication skills with a focus on collaboration.

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Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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