Machine Learning Engineer salaries in California
Machine Learning Engineer professionals in California earn $177.8–278.3K per year on average, based on 18 jobs. Machine Learning Engineer roles in California pay 20% above the board-wide average of $148.4–230.4K for Machine Learning Engineer jobs on LumiJobs. Pay ranges from $158.9–246.3K for Mid-level roles up to $189.7–298.7K at the Senior level.
Average salary range
$177.8–278.3K
Based on 18 jobs · 20% more than the average salary on LumiJobs
25th percentile
$152K
Average
$228K
75th percentile
$283.8K
Machine Learning Engineer salaries by seniority in California
Machine Learning Engineer salaries in California range from $158.9–246.3K for Mid-level roles to $189.7–298.7K for Senior positions.
| Seniority | Avg. salary | Jobs | vs Avg. on LumiJobs |
|---|---|---|---|
| Mid-level | $158.9–246.3K | 7 | +7% |
| Senior | $189.7–298.7K | 11 | +29% |
Other top paying titles in California
Highest paying job titles in California beyond Machine Learning Engineer, ranked by average salary.
Software Engineering
Avg. $163.3–235.6K · 57 jobs
Backend Engineering
Avg. $165.1–245.1K · 30 jobs
Software Engineer
Avg. $149.4–238.4K · 17 jobs
AI Engineer
Avg. $166.9–246.6K · 12 jobs
Backend Development
Avg. $158.2–237.3K · 12 jobs
Machine Learning Engineering
Avg. $157.3–253K · 12 jobs
Top paying skills in California
Highest paying skills in California, ranked by average salary.
Python
Avg. $158.4–230.3K · 83 jobs
C++
Avg. $152.9–215.4K · 32 jobs
CI/CD
Avg. $149.6–219.5K · 32 jobs
AWS
Avg. $166–236.9K · 31 jobs
TypeScript
Avg. $163.3–233.1K · 30 jobs
Machine Learning
Avg. $171.3–258.4K · 29 jobs
Other locations for Machine Learning Engineer
Compare Machine Learning Engineer salaries in other locations.
United States
Avg. $158.6–250.2K · 32 jobs
San Francisco, CA
Avg. $193.4–308.4K · 7 jobs
Pennsylvania
Avg. $128.1–256.5K · 3 jobs
Virginia
Avg. $131.8–192.6K · 3 jobs
Machine Learning Engineer salary FAQs for California
All salary figures are normalized to USD annual equivalents. Averages are based on published jobs with salary data and filtered for statistical outliers.