xAI

xAI

Posted via Greenhouse

Member of Technical Staff - RL Training Framework

Posted Aug 5, 2026

Role at a glance

Salary
$180K – $440K/yr
Location
Palo Alto, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Experience building, debugging, and optimizing efficiency of large-scale distributed systems

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Role Summary

AI-generated

The RL infrastructure team is developing the RL training framework and systems backing RL workloads, from small scale ablations to production training runs. The role focuses on improving the performance, scalability, and observability of the RL stack.

What You'll Do

  • Design and implement the systems backing all RL workloads at SpaceXAI, 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

Generated from the employer's posting. Verify important details before applying.

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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++.

Required

  • 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++

Preferred

  • Experience with large scale LLM training infrastructure
  • Strong knowledge of reinforcement learning techniques
  • Experience with RL numerics

Original job description

Content provided by the employer

SpaceXAI’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 RL infrastructure team is looking for an engineer to help develop our RL training framework. 

RESPONSIBILITIES:

  • Design and implement the systems backing all RL workloads at SpaceXAI, 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

BASIC 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++

PREFERRED SKILLS AND EXPERIENCE:

  • Experience with large scale LLM training infrastructure
  • Strong knowledge of reinforcement learning techniques
  • Experience with RL numerics

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

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

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

xAI

About the company

xAI

Large Enterprise

xAI is a cutting-edge technology company focused on developing advanced artificial intelligence solutions to enhance human capabilities and optimize decision-making processes. Founded by a team of leading experts in AI and machine learning, xAI aims to address complex challenges across various industries, including healthcare, finance, and transportation. By prioritizing ethical AI development, the company is committed to creating innovative tools that empower organizations to harness the full potential of artificial intelligence while ensuring transparency and accountability.