Member of Technical Staff - RL Training Framework

xAI•Palo Alto, CA 94301, US• Full Time

Posted 2 months ago• Operations

Compensation

$180,000–$440,000/year

Job Description

About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

The Infrastructure team builds an end-to-end RL training framework to enable pre-training-scale RL.

Responsibilities

Design and implement state-of-the-art distributed RL systems
Profile, debug, and optimize system performance
Software and algorithm co-design with engineers

Required Qualifications

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

Preferred Qualifications

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

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.