RL Infrastructure Engineer Scalable Training & Performance
Xai
xAI in Palo Alto is seeking an experienced engineer to design and implement the RL training framework and the systems backing all RL workloads, from ablations to production runs. You will profile, debug, and optimize end-to-end training performance, and improve scalability and observability of the RL stack. The role requires proficiency in Python and C++, familiarity with Jax or Rust, and experience with large-scale RL/NLP training infrastructures and RL numerics. #J-18808-Ljbffr Xai
Vacancy posted 3 days ago
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