Sr. Model Engineer, Model Training

SpaceXSI

Palo Alto, CAJob$180–600K/yrPosted 1 day agoStill listed today

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At a glance

Compensation
$180–600K/yr
Location
Palo Alto, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

SpaceXSI is building Super Intelligence, including its compute, model, and application stack. The Sr. Model Engineer, Model Training will bring experience writing production-quality code and training large neural network models with 1B+ parameters. The posting also prefers experience training models used by millions of users, power use of AI models, and a strong interest in building useful, truth-seeking AI.

Skills & qualifications

RequiredNice to have

Skills

Production-Quality CodingPythonPyTorchJAXRustC++Large-Model TrainingModel Training for MillionsAI Model UseTruth-Seeking AIPride in WorkMeritocratic EnvironmentsBuilding Useful Models

Qualifications

1B+ Parameter Model Training

Benefits

Medical Insurance
Vision Insurance
Dental Insurance
401(k) Match

Full job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

BASIC QUALIFICATIONS:

  • Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++

  • Experience training large models (e.g., pretraining, post-training, fine-tuning, or RL training of neural networks with 1B+ parameters)

PREFERRED SKILLS AND EXPERIENCE:

  • Experience training models used by millions of users

  • Power user of AI models

  • You believe truth-seeking AI is the most important and challenging problem

  • You take pride in your work and thrive in meritocratic environments

  • You are obsessed about building incredibly useful models

COMPENSATION AND BENEFITS:

$180,000 - $600,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

How this job compares

Set against the 6,099 open Machine Learning Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$180–600K/yr
  • California median$176–261K/yr1,350 salary ranges
  • US median$148–245K/yr4,859 salary ranges

This range's midpoint, $390K, is 76% above the California median midpoint ($222K) — in the top quarter of Machine Learning Engineer salary ranges in California.

Openings
Olive Jobs lists 1,824 open Machine Learning Engineer jobs in California and 6,099 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,881 postings).
Education
2,296 of the 6,099 open Machine Learning Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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