RL Inference
xAI· Model
Palo Alto, CA$180k - $440kFull-timePosted 3mo ago
About the role
Role focused on designing and optimizing the inference stack for reinforcement learning workloads, with emphasis on low precision RL training and inference, performance profiling, and collaboration with the modeling team on novel RL techniques.
Responsibilities
- Design and optimize our inference stack for all shapes of RL workloads at SpaceXSI, from small scale ablations to production training runs.
- Analyze, profile and address performance bottlenecks in large scale RL systems
- Work closely with the modelling team to efficiently implement novel RL techniques and algorithms
Qualifications
- Experience in building, debugging, and optimizing efficiency of large-scale distributed systems
- Experience in LLM inference
- Proficiency in programming languages such as Python, C++ and/or Rust; frameworks such as PyTorch, Jax, CUDA
- Willingness to dive deep and solve hardcore problems at all levels of the stack
Skills
Required:Large-scale distributed systemsLLM inferenceProgrammingFrameworks
Nice to have:Quantization and numericsInference engines
Benefits
- equity
- comprehensive medical, vision, and dental coverage
- access to a 401(k) retirement plan
- short & long-term disability insurance
- life insurance
- various other discounts and perks
Last updated Oct 21, 2026. Interested? Apply on the company site.
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