Model Engineer, RL Inference

MODEL ENGINEER, RL INFERENCE

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 SpaceXSI, from small scale ablations to production training runs

Analyze, profile and address performance bottlenecks in large scale RL systems

Work closely with the modeling team to efficiently implement novel RL techniques and algorithms

BASIC QUALIFICATIONS:

Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++

PREFERRED SKILLS AND EXPERIENCE:

Experience in building, debugging, and optimizing efficiency of large-scale distributed systems

Experience in LLM inference

Strong knowledge in quantization and numerics in LLM inference and training

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

Willingness to dive deep and solve hardcore problems at all levels of the stack

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.