RL Inference Engineer — LLM & Large-Scale Systems

Maven Ventures; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical, Vision, and Dental coverage

401(k) retirement plan

Disability insurance

Life insurance

Discounts and perks

Job summary

SpaceXSI is seeking an engineer to help with low precision RL training and inference on our RL infrastructure team in Palo Alto, CA. You will tackle scalable RL workloads across development and production runs.

Responsibilities include designing and optimizing the inference stack, profiling performance bottlenecks in large-scale systems, and collaborating with the modelling team to implement novel RL techniques.

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.

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

Skills

Distributed systems

LLM inference

Python

C++

Rust

PyTorch

Jax

CUDA

Tools

PyTorch

Jax

CUDA

Job description

SpaceXSI is seeking an engineer to help with low precision RL training and inference on our RL infrastructure team in Palo Alto, CA. You will tackle scalable RL workloads across development and production runs.

Responsibilities include designing and optimizing the inference stack, profiling performance bottlenecks in large-scale systems, and collaborating with the modelling team to implement novel RL techniques.