Demo

Member of Technical Staff, Pre-training Scaling

xAI
Palo Alto, CA Full Time
POSTED ON 4/6/2026
AVAILABLE BEFORE 11/30/2026
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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

Tech Stack
  • Python
  • JAX and XLA
  • Rust / C
  • Spark
Focus
  • Training trillion parameter neural networks at scale, as well as a variety of smaller specialized models.
  • Rapidly implementing the latest state-of-the-art methods from the deep learning literature.
  • Innovating new ideas for pretraining and new scaling paradigm.
Ideal Experience
  • Strong engineering skills with passion on model-hardware co-design.
  • Expert in ML and large model scaling, familiar with all kinds of scaling laws.
  • Familiar with distributed training, multi-GPU neural network training and experience on optimizing ML training efficiency.
Location

The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.

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.

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Salary : $180,000 - $440,000

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