SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. The RL infrastructure team is looking for an engineer to help develop our RL training framework.
Member of Technical Staff - RL Training Framework at SpaceXAI
On-site - Palo Alto, CA
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USD 180,000 - 440,000
Requirements
Skills
- 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++
- Experience with large scale LLM training infrastructure
- Strong knowledge of reinforcement learning techniques
- Experience with RL numerics
Responsibilities
- Design and implement the systems backing all RL workloads at SpaceXAI, 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
Technologies
PythonJaxRustC++reinforcement learninglarge language model training
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