Machine Learning Engineer Jobs in California

Machine Learning Engineer jobs in California are among the most active in the country, concentrated in technology, healthcare AI, autonomous systems, and financial services, with openings from entry-level ML engineer through principal and staff-level roles. The heaviest hiring is in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Qualcomm maintain major engineering operations. Computer vision, natural language processing, and large language model fine-tuning are the sub-areas drawing the most consistent demand across California employers. Find a role that fits below and apply directly.

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Overview

Open roles1,772+
Top employerApple
Top citySan Francisco, CA
Cities hiring66
Work type79% On-site
Top industryTechnology

Showing 5 of 1,772+ Machine Learning Engineer jobs

Block
Senior Machine Learning Engineer
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Block
New 1h ago
Senior Machine Learning Engineer
Block
San Francisco Bay Area, California
Software Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
On-Site
Bachelor's
5,001-10,000

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Intuitive (Intuitive Surgical)
Machine Learning Engineer
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Intuitive (Intuitive Surgical)
New 5h ago
Machine Learning Engineer
Intuitive (Intuitive Surgical)
San Francisco, California
Software Engineering
Data Science & Analytics
Data Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$139k - $236k/yr
On-Site
Doctorate

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Apple
Senior Computer Vision / Machine Learning Engineer
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Apple
Added 1d ago
Senior Computer Vision / Machine Learning Engineer
Apple
Sunnyvale, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Backend Engineering
$181k - $318k/yr
On-Site
Bachelor's
10,000+

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Apple
Machine Learning Engineer
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Apple
Added 2d ago
Machine Learning Engineer
Apple
Santa Clara, California
Software Engineering
Data Science & Analytics
Data Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$172k - $302k/yr
On-Site
Master's
10,000+

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Apple
Senior Computer Vision / Machine Learning Engineer
We won't show you this job again
Apple
Added 3d ago
Senior Computer Vision / Machine Learning Engineer
Apple
Sunnyvale, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Backend Engineering
$181k - $318k/yr
On-Site
Bachelor's
10,000+

Have you applied for this role?

See All 1,772+ Machine Learning Engineer Jobs in California

Find roles in California that match your experience and apply in just a few clicks.

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Machine Learning Engineer Jobs by City in California

Where California roles are concentrated, by current openings.

San Francisco
345 jobs
San Jose
257 jobs
Cupertino
164 jobs
Santa Clara
162 jobs
Sunnyvale
152 jobs
Mountain View
147 jobs
Palo Alto
92 jobs
San Diego
54 jobs
San Mateo
51 jobs

Machine Learning Engineer Job Market in California

A snapshot from current California openings, updated as new roles post.

Who's Hiring

  • Apple
    Apple220
  • TikTok
    TikTok83
  • Amazon
    Amazon62
  • Adobe
    Adobe56
  • Capital One
    Capital One51

Top Industries Hiring

  • Technology & Software781
  • Electronics & Hardware307
  • Artificial Intelligence127
  • Banking & Financial Services123
  • Automotive96

What California Employers Look For

The qualifications that appear most often in machine learning engineer jobs across California.

  • Bachelor's or master's degree in computer science, statistics, or a related quantitative field
  • Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience designing, training, and deploying machine learning models in production environments
  • Familiarity with cloud ML infrastructure on AWS, Google Cloud, or Azure
  • Strong foundation in linear algebra, probability, statistics, and optimization techniques
  • Experience with data pipelines, feature engineering, and large-scale distributed computing tools

Machine Learning Engineer Jobs in California: Frequently Asked Questions

How do you become a machine learning engineer in California?

Machine learning engineering has no state-issued license in California, so the path runs through education and demonstrated technical skills. Most California employers expect at least a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred at many Bay Area and Los Angeles tech companies. Building a portfolio of deployed projects, contributing to open-source ML work, and completing graduate coursework at UC Berkeley, Stanford, or UCLA strengthens a candidate's profile considerably.

How much do machine learning engineers make in California?

Machine learning engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.

Which companies hire machine learning engineers in California?

Employers hiring machine learning engineers in California right now include Apple, TikTok, and Amazon, based on current listings on Migrate Mate as of June 2026. California's concentration of technology headquarters, AI research labs, and defense contractors means consistent openings across a wide range of industries and seniority levels.

Which California cities have the most machine learning engineer jobs?

San Francisco, San Jose, and Cupertino have the most machine learning engineer openings in California. The Bay Area's density of technology headquarters and AI research organizations drives the largest share of listings, while Los Angeles draws demand from entertainment technology, aerospace, and a fast-growing startup ecosystem, and San Diego's strength in wireless technology and biotech creates a reliable secondary market.

Are there remote machine learning engineer jobs in California?

Yes, and more than most fields. About 21% of machine learning engineer openings tied to California are remote or hybrid as of June 2026, reflecting how well the core work, model development, experimentation, and code review, translates to distributed teams. Roles involving on-site GPU infrastructure management or close collaboration with hardware teams tend to require in-person presence more often than pure research or modeling positions.

How can I get hired as a machine learning engineer in California with little or no experience?

The most realistic entry path is through a machine learning or data science internship at a California technology company, many of which, including major Bay Area firms, run structured university recruiting programs targeting new graduates from UC campuses, Cal Poly, and California State University programs. Transitioning from a data analyst, software engineer, or research assistant role is a common lateral move. Building a GitHub portfolio with end-to-end ML projects and completing a relevant graduate certificate from a California institution significantly improves early-career competitiveness.

Where can I find and apply to machine learning engineer jobs in California?

You can find and apply to machine learning engineer jobs in California on Migrate Mate, which lists current California openings across industries and seniority levels. Find roles that fit your background and apply directly.

See All 1,772+ Machine Learning Engineer Jobs in California

Find roles in California that match your experience and apply in just a few clicks.

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