Staff Engineer - RL Training Infrastructure

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

Job summary

xAI is seeking an engineer to join the RL infrastructure team to help develop our RL training framework. The RL engineer will design and implement systems backing all RL workloads, from small scale ablations to production training runs.

You will profile, debug and optimize end-to-end training performance and improve scalability and observability of the RL stack in a hands-on, collaborative environment.

Qualifications

• Experience building, debugging, and optimizing efficiency of large-scale distributed systems.
• Comfortable diving into unfamiliar areas and solving problems at all levels of the stack.
• Proficiency in Python, Jax, Rust, and/or C++.

Responsibilities

• Design and implement the systems backing all RL workloads at xAI, from small scale ablations to production training runs.
• Profile, debug, and optimize end-to-end training performance.
• Improve scalability and observability of the RL stack.

Skills

Distributed systems

Python

Jax

Rust

C++

Reinforcement learning

LLM training infrastructure

Tools

Jax

Rust

C++

Python

Job description

xAI is seeking an engineer to join the RL infrastructure team to help develop our RL training framework. The RL engineer will design and implement systems backing all RL workloads, from small scale ablations to production training runs.

You will profile, debug and optimize end-to-end training performance and improve scalability and observability of the RL stack in a hands-on, collaborative environment.