ML Infrastructure Engineer

xai· Engineering
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📍 Palo Alto, California💰 USD 180K–440K

About this role

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:

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

RESPONSIBILITIES:

  • Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
  • Developing data pipelines and integrating large-scale data, training, and inference systems
  • Collaborating with ML teams to productionize models and ensure seamless integration across the stack
  • Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
  • Working across the full stack to solve complex problems independently
  • Mentoring junior engineers and contributing to the growth of the team

BASIC QUALIFICATIONS:

  • Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience
  • 2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
  • 2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
  • Strong proficiency with Python and experience with compiled languages such as C++ or Rust

PREFERRED SKILLS AND EXPERIENCE:

  • Deep familiarity with modern ML frameworks such as JAX or PyTorch
  • Low-level understanding of compute systems, including distributed storage, NVIDIA drivers, CUDA toolkits, and networking
  • Comfortable with Linux systems and orchestration tools
  • Experience with job schedulers (e.g., Slurm), configuration management (Puppet/Ansible), or related infrastructure tooling

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

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.

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

Frequently Asked Questions

What is the salary for the ML Infrastructure Engineer role at xai?
The listed salary for this ML Infrastructure Engineer position at xai is USD 180K–440K. This is an full-time role.
Where is the ML Infrastructure Engineer position at xai located?
This ML Infrastructure Engineer role at xai is based in Palo Alto, California. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the ML Infrastructure Engineer at xai belong to?
This ML Infrastructure Engineer position is part of the Engineering department at xai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the ML Infrastructure Engineer position at xai?
Click the "Apply Now" button on this page. You will be redirected to xai's official application portal hosted on greenhouse where you can submit your application directly.
When was the ML Infrastructure Engineer job at xai posted?
This ML Infrastructure Engineer position at xai was posted on Jul 21, 2026. Apply as soon as possible — early applications are often reviewed first.
ML Infrastructure Engineer
xai · 💰 USD 180K–440K
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You'll be redirected to xai's official application page on Greenhouse.