Research Engineer – Reinforcement Learning (RL) Systems & Infrastructure (Seed Infra)
San Jose, California, United States
USD 244K-450K Entry-level Full Time
Tasks
- Build RL training evaluation deployment pipelines
- Build tooling monitoring and debugging frameworks
- Collaborate on system algorithm co-design
- Design reinforcement learning systems
- Develop fault tolerant RL infrastructure
- Improve reliability and observability
- Optimize distributed GPU training performance
Perks/Benefits
- N/A
Skills/Tech-stack
Debugging | Deep learning | Distributed Systems | Fault Tolerance | GPU | Machine Learning | Reinforcement Learning | Scalability | System monitoring
Education
N/A
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