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Ml Infrastructure Engineer Jobs in California (NOW HIRING)

ML Infrastructure Engineer

Palo Alto, CA · On-site

$180K - $440K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure ...

ML Infrastructure Engineer

San Francisco, CA

$190K - $250K/yr

  • Medical

  • Dental

  • Vision

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure ...

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

  • Medical

  • Dental

  • Vision

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure ...

ML Infrastructure Engineer

Palo Alto, CA · On-site

$180K - $440K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

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 ...

ML Infrastructure Engineer

Redwood City, CA · On-site

$131K - $172K/yr

They are seeking an ML Infrastructure Engineer to build and shape foundational systems that accelerate the deployment of robots in homes, encompassing responsibilities in training infrastructure ...

ML Infrastructure Engineer

San Mateo, CA

$122K - $160K/yr

The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and ... Set up and scale inference/Ray Serve for ML and LLM model serving, integrated with our data ...

ML Infrastructure Engineer

Palo Alto, CA · On-site

$126K - $165K/yr

They are seeking an ML Infrastructure Engineer to design, develop, and maintain large-scale distributed systems while collaborating with various engineering teams to enhance their infrastructure and ...

ML Infrastructure Engineer

Palo Alto, CA · On-site

$126K - $165K/yr

The ML Infrastructure Engineer will design, develop, and maintain large-scale distributed systems while collaborating with various engineering teams to enhance the company's technology stack.

ML Infrastructure Engineer

San Francisco, CA · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Universal Infrastructure: A way to stop rebuilding the same context layer for every agent, dataset ... PhD in Robotics and ML. * Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML. * Deepak Mishra, COO: ...

ML Infrastructure Engineer

San Francisco, CA · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Universal Infrastructure: A way to stop rebuilding the same context layer for every agent, dataset ... PhD in Robotics and ML. * Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML. * Deepak Mishra, COO: ...

ML Infrastructure Engineer

Redwood City, CA · On-site

$131K - $172K/yr

Required : • Strong software engineering and systems fundamentals • Experience building distributed systems or large-scale data pipelines • Hands-on experience with ML training infrastructure ...

ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Build intuitive internal tools and abstractions that make complex infrastructure easy for engineers to use. * Lead technical and commercial discussions with cloud and ML compute providers, including ...

ML Infrastructure Engineer

Redwood City, CA · On-site

$131K - $172K/yr

Strong software engineering and systems fundamentals * Experience building distributed systems or large-scale data pipelines * Hands-on experience with ML training infrastructure, ideally PyTorch

ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Build intuitive internal tools and abstractions that make complex infrastructure easy for engineers to use. * Lead technical and commercial discussions with cloud and ML compute providers, including ...

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Showing results 1-20

Ml Infrastructure Engineer information

See California salary details

$45.9K

$125.4K

$179.6K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ml infrastructure engineer in California is $125,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $139,200.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What job categories do people searching Ml Infrastructure Engineer jobs in California look for?

The top searched job categories for Ml Infrastructure Engineer jobs in California are:

What cities in California are hiring for Ml Infrastructure Engineer jobs?

Cities in California with the most Ml Infrastructure Engineer job openings:

Infographic showing various Ml Infrastructure Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $125,402 per year, or $60.3 per hour.

ML Infrastructure Engineer

SpaceXAI

Palo Alto, CA • On-site

$180K - $440K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 72 rated aerospace companies


Job description

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.


What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


SpaceX logo

About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US