RL Training Framework
SpaceX Super Intelligence
Palo Alto, CA3h agovia LinkedIn
About the Role
The RL infrastructure team is looking for an engineer to help develop our RL training framework.
Key Responsibilities
- Design and implement the systems backing all RL workloads at SpaceXSI, from small scale ablations to production training runs.
- Profile, debug, and optimize end-to-end training performance.
- Improve scalability and observability of the RL stack.
Requirements & Tech Stack
- Experience building, debugging, and optimizing efficiency of large-scale distributed systems.
- Comfortable diving into unfamiliar areas and solving problems at all levels of the stack.
- Proficiency in Python, Jax, Rust, and/or C++.
Preferred Skills and Experience
- Experience with large scale LLM training infrastructure.
- Strong knowledge of reinforcement learning techniques.
- Experience with RL numerics.