Member of Technical Staff, RL Training Framework
United StatesSECTOR
-JOB TYPE
DATE POSTED
23 February 2026
About The Role
In this role you might:
- Design and implement state-of-the-art distributed RL systems
- Profile, debug, and optimize system performance
- Software and algorithm co-design with engineers
- Experience building, debugging, and optimizing large scale distributed training systems
- Experience building async RL training frameworks
- Experience in inference systems
- Proficiency in Python, Jax, or Rust
- PhD with AI or other scientific domains
- Strong knowledge of reinforcement learning techniques
- Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning
- We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation.
After Submitting Your Application, The Team Reviews Your CV And Statement Of Exceptional Work. If Your Application Passes This Stage, You Will Be Invited To a 15 Minute Interview ("phone Interview") During Which a Member Of Our Team Will Ask Some Basic Questions. If You Clear The Initial Phone Interview, You Will Enter The Main Process, Which Consists Of Four Technical Interviews
- Coding assessment in a language of your choice.
- Technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM.
- Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.
Annual Salary Range
$180,000 - $440,000 USD
Benefits
Base salary is just one part of our total rewards package at xAI, 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.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice
