Machine Learning Engineer Intern Salary in California
$25.2K - $30.6K
5% of jobs
$32.5K is the 25th percentile. Wages below this are outliers.
$30.6K - $36K
56% of jobs
$36K - $41.5K
10% of jobs
$42.7K is the 75th percentile. Wages above this are outliers.
$41.5K - $46.9K
17% of jobs
$46.9K - $52.3K
4% of jobs
$52.3K - $57.7K
3% of jobs
$57.7K - $63.2K
3% of jobs
$63.2K - $68.6K
1% of jobs
$68.6K - $74K
0% of jobs
$74K - $79.4K
0% of jobs
$79.4K - $84.9K
0% of jobs
$25.2K
$33.1K
$86.4K
$42,026
/year
$20.20
/hour
Machine Learning Engineer Intern Salary Comparison by Location
Nationwide
United States
$42,584
California
California
$42,026
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How much does a Machine Learning Engineer Intern make in California?
As of Aug 2, 2026, the average annual pay for a Machine Learning Engineer Intern in California is $42,026 a year.
Just in case you need a simple salary calculator, that works out to be approximately $20.20 an hour. This is the equivalent of $808/week or $3,502/month.
While ZipRecruiter is seeing salaries as high as $86,354 and as low as $25,166, the majority of Machine Learning Engineer Intern salaries currently range between $32,100 (25th percentile) to $45,400 (75th percentile) with top earners (90th percentile) making $58,720 annually in California. The average pay range for a Machine Learning Engineer Intern varies greatly (by as much as 13300), 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 Engineer Intern salaries.
To estimate the most accurate annual salary range for Machine Learning Engineer Intern 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 Engineer Intern on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Machine Learning Engineer Intern Jobs in California
We've identified 10 cities where the typical salary for a Machine Learning Engineer Intern job is above the average in California in California. Topping the list is San Buenaventura, , with North Hills, and Cupertino, close behind in the second and third positions. Cupertino, beats the average in California by $10,511 (25.0%), and San Buenaventura, furthers that trend with another $81,546 (194.0%) above the $42,026 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 Engineer Intern appears to be exceedingly fruitful.
Additionally, another factor to consider is the average salary for these top 10 cities varies as much as 84% between San Buenaventura, and Stanford, , suggesting a strong potential for positive wage variance in a Machine Learning Engineer Intern role. Cost of living should also be factored in when balancing location and salary.
City | Annual Salary | Hourly Wage |
|---|---|---|
San Buenaventura | $123,572 | $59.41 |
North Hills | $77,955 | $37.48 |
Cupertino | $52,537 | $25.26 |
Berkeley | $52,141 | $25.07 |
Redwood City | $52,137 | $25.07 |
South San Francisco | $51,172 | $24.60 |
Diablo | $50,767 | $24.41 |
Palo Alto | $50,116 | $24.09 |
San Francisco | $50,065 | $24.07 |
Stanford | $50,034 | $24.05 |
What are Top 5 Best Paying Related Machine Learning Engineer Intern Jobs in California
Analyzing similar jobs related to the Machine Learning Engineer Intern job category in California, we found 5 that were relevant. However, none pay more than the $42026 state average for Machine Learning Engineer Intern jobs.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Senior Machine Learning Engineer | $124,900 | $60.05 |
Machine Learning Finance | $91,418 | $43.95 |
Machine Learning Developer | $78,864 | $37.92 |
Fmv Analyst | $74,761 | $35.94 |
Junior Machine Learning Engineer | $70,859 | $34.07 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
