Member of Technical Staff - RL Inference

ABOUT THE ROLE:

The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.

RESPONSIBILITIES:

Design and optimize our inference stack for all shapes of RL workloads at SpaceXAI, 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

BASIC 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

PREFERRED SKILLS AND EXPERIENCE:

Strong knowledge in quantization and numerics in LLM inference and training

Experience in developing inference engines, e.g. SGLang, vLLM

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.