Machine Learning Operations Engineer

Machine Learning Operations Engineer Salary in California

$35.5K

$80.4K

$133.2K

$83,915

/year

$40.34

/hour

Machine Learning Operations Engineer Salary Comparison by Location

Nationwide

United States

$85,029

California

California

$83,915

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    How much does a Machine Learning Operations Engineer make in California?

    As of Jul 2, 2026, the average annual pay for a Machine Learning Operations Engineer in California is $83,915 a year.

    Just in case you need a simple salary calculator, that works out to be approximately $40.34 an hour. This is the equivalent of $1,613/week or $6,992/month.

    While ZipRecruiter is seeing salaries as high as $133,232 and as low as $35,529, the majority of Machine Learning Operations Engineer salaries currently range between $68,600 (25th percentile) to $92,800 (75th percentile) with top earners (90th percentile) making $116,454 annually in California. The average pay range for a Machine Learning Operations Engineer varies greatly (by as much as 24200), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.

    California ranks number 50 out of 50 states nationwide for Machine Learning Operations Engineer salaries.

    To estimate the most accurate annual salary range for Machine Learning Operations Engineer jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.

    Find your next high paying job as a Machine Learning Operations Engineer on ZipRecruiter today.

    What are Top 10 Highest Paying Cities for Machine Learning Operations Engineer Jobs in California

    We've identified 10 cities where the typical salary for a Machine Learning Operations Engineer job is above the average in California in California. Topping the list is Berkeley, , with Mountain View, and San Francisco, close behind in the second and third positions. San Francisco, beats the average in California by $16,263 (19.4%), and Berkeley, furthers that trend with another $20,197 (24.1%) above the $83,915 average.

    With these 10 cities paying on average above the average for California, the opportunities for economic advancement by changing locations as a Machine Learning Operations Engineer appears to be exceedingly fruitful.

    Finally, another factor to consider is the average salary for these top 10 cities varies very little at 6% between Berkeley, and Oakland, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Machine Learning Operations Engineer role.

    City

    Annual Salary

    Hourly Wage

    Berkeley

    $104,112

    $50.05

    Mountain View

    $100,307

    $48.22

    San Francisco

    $100,178

    $48.16

    Santa Clara

    $99,829

    $47.99

    Sunnyvale

    $99,794

    $47.98

    Livermore

    $99,737

    $47.95

    San Jose

    $99,597

    $47.88

    Daly City

    $98,522

    $47.37

    Santa Cruz

    $98,179

    $47.20

    Oakland

    $97,653

    $46.95

    What are Top 5 Best Paying Related Machine Learning Operations Engineer Jobs in California

    Analyzing similar jobs related to the Machine Learning Operations Engineer job category in California, we found 5 that were relevant. However, none pay more than the $83915 state average for Machine Learning Operations Engineer jobs.

    Job Title

    Annual Salary

    Hourly Wage

    Vice President Machine Learning Engineer

    $212,772

    $102.29

    Principal Machine Learning Engineer

    $145,292

    $69.85

    Senior Machine Learning Engineer

    $124,900

    $60.05

    Machine Learning Finance

    $91,418

    $43.95

    Machine Learning Developer

    $78,864

    $37.92

    About Our Data

    ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.

    Infographic detailing Machine Learning Operations Engineer salary in California as of June 2026. Shows a bar chart with salary percentiles ranging from $68,600 to $116,454 annually, with the California average at $83,915 per year or $40.34 per hour. Includes a list of the top 10 highest paying cities in California for Machine Learning Operations Engineer jobs, with Berkeley leading at $104,112 annually.