Machine Learning Engineer Salary in California
The median machine learning engineer salary in California is $203,490 per year, which is 53.0% above the national median of $133,000.
Machine Learning Engineer Salary Overview in California (2026)
California ranks #2 out of 50 states for machine learning engineer compensation. This places California in the top tier nationally, making it one of the best states for machine learning engineers seeking high pay. At $203,490 per year, machine learning engineers in California earn $70,490 more than the national median of $133,000.
It's worth noting that California's cost of living is 138% of the national average, which reduces the real purchasing power of the $203,490 salary. After adjusting for cost of living, the effective salary is closer to $147,457.
The salary spread in California is significant: machine learning engineers at the 10th percentile earn $125,460, while those at the 90th percentile bring home $313,650 — a $188,190 gap that reflects differences in experience, specialization, employer type, and metro area. The highest-paying city in California for this role is San Francisco, where the median reaches $262,010.
Nationally, machine learning engineer employment is projected to grow 40% over the next decade (much faster than average). This strong growth suggests increasing demand and competitive salaries in California and beyond.
Machine Learning Engineer Salary in California by Experience
In California, an entry-level machine learning engineer earns around $134,640, while experienced professionals earn up to $293,760 per year. The cost of living index in California is 138% of the national average.
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View Offers You Qualify For →Salary Percentiles in California
| Percentile | CA Salary |
|---|---|
| 10th Percentile | $125,460 |
| 25th Percentile | $165,240 |
| Median (50th) | $203,490 |
| 75th Percentile | $257,040 |
| 90th Percentile | $313,650 |
Machine Learning Engineer Salary by City in California
The largest employment areas for machine learning engineers in California include Los Angeles, San Francisco, San Diego, and San Jose. Salaries vary by city based on local cost of living and demand.
How to Become a Machine Learning Engineer in California
Education
Most machine learning engineer positions require a master's degree. California has several accredited institutions offering relevant programs.
Key Skills
Job Outlook in California
Nationally, machine learning engineer employment is projected to grow 40% over the next decade (much faster than average). California's demand may vary based on local industry trends.
Negotiate Your Way to Senior Pay
Data shows Machine Learning Engineers who negotiate earn 7–15% more. A single negotiation could add $90,270 over your career trajectory.
Get Negotiation Scripts — $197 →Open to Machine Learning Engineer Roles in California?
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