AI Engineer & Researcher - RL Training Framework
Skills
- Building and optimizing large-scale distributed training systems
- Developing asynchronous reinforcement learning training frameworks
- Experience in inference systems
- Proficiency with Python, Jax, or Rust programming languages
Responsibilities
- Design and implement state-of-the-art distributed reinforcement learning training frameworks
- Profile, debug, and optimize system performance at scale
- Collaborate closely with researchers for software and algorithm co-design
- Participate actively in knowledge sharing and team communication
Education
- PhD preferred in AI or related scientific domains
Benefits
- Opportunity to work on cutting-edge AI research
- Flat organizational structure fostering leadership and initiative
- Hybrid work model with office presence in Palo Alto and flexible remote days
- Comprehensive interview process focused on coding and research excellence
Average salary estimate
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