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 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.
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 |
Major Cities for Machine Learning Engineers in California
The largest employment areas for machine learning engineers in California include Los Angeles, San Francisco, San Diego, and San Jose. Salaries in major metro areas may be higher due to increased demand and cost of living.
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.