📊 BLS Official Data · May 2025 Release

Machine Learning Engineer Salary in California (2026)

California · 42.0% above national average · Very High Demand

Average
$210,160
per year
Median
$201,640
per year
Hourly
$101.04
per hour
🏛️ Source: U.S. Bureau of Labor Statistics
📅 Dataset: OES May 2025
🔄 Published: May 2026
📍 Coverage: All 50 States + DC
📊
Salary Range & Percentiles
Pay distribution across experience levels
10th Percentile — Entry Level$137,385
25th Percentile — Junior$175,725
50th Percentile — Median$201,640
75th Percentile — Senior$261,990
90th Percentile — Top Earners$293,940
💡 Top-earning Machine Learning Engineers in California make up to $293,940 per year. The job market in California is rated very strong, with key industries including Technology, Entertainment, Agriculture.
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Salary Growth Trend (2021–2026)
Six-year compensation trajectory
$135.3k
2021
$147.8k
2022
$161.4k
2023
$176.2k
2024
$192.5k
2025
$210.2k
2026
📈 Machine Learning Engineer salaries in California have followed the national trend with 9.2% annual growth. The strong demand in California's job market supports continued salary increases.
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Machine Learning Engineer Salary by City in California
Geographic salary comparison
CityAvg Salaryvs NationalDemand
Los Angeles $325,748 +55.0% Very High
San Diego $311,037 +48.0% Very High
San Jose $361,475 +72.0% Very High
San Francisco $388,796 +85.0% Very High
Fresno $226,973 +8.0% Very High
Sacramento $256,395 +22.0% Very High
Long Beach $304,732 +45.0% Very High
Bakersfield $226,973 +8.0% Very High
Anaheim $298,427 +42.0% Very High
Santa Ana $294,224 +40.0% Very High
Riverside $269,005 +28.0% Very High
Stockton $247,989 +18.0% Very High
Irvine $325,748 +55.0% Very High
San Bernardino $247,989 +18.0% Very High
Modesto $235,379 +12.0% Very High
Fontana $256,395 +22.0% Very High
Moreno Valley $241,684 +15.0% Very High
Glendale $311,037 +48.0% Very High
Fremont $336,256 +60.0% Very High
🔍
Machine Learning Engineer Job Market in California
Key factors affecting compensation

California is home to a very strong job market for Machine Learning Engineers. The state's key industries — Technology, Entertainment, Agriculture — generate significant demand for skilled professionals. At $210,160 per year, California's Machine Learning Engineer salaries are 42.0% higher than the national average.

The cost of living in California (index: 1.42) justifies the higher pay scale. Entry-level professionals in California can expect to earn $137,385–$175,725, while experienced Machine Learning Engineers can command $261,990–$293,940.

Looking ahead, the Machine Learning Engineer profession in California is projected to grow at 9.2% annually. Major employers are actively hiring, and the state's investment in Technology continues to drive new opportunities for qualified candidates.

🏛️ U.S. Bureau of Labor Statistics · Occupational Employment and Wage Statistics (OES) · May 2025
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Compare with Similar Jobs
Related career salary benchmarks
Frequently Asked Questions
Common questions about this salary
  • The average Machine Learning Engineer salary in California is $210,160 per year in 2026, which is 42.0% above the national average of $148,000.
  • San Francisco and San Jose typically pay Machine Learning Engineers the highest wages in California due to higher costs of living and competitive job markets.
  • California has a very strong job market with major industries in Technology, Entertainment, Agriculture. This makes it one of the better states for Machine Learning Engineer employment.
  • At $210,160/year, California Machine Learning Engineer salaries are 42.0% higher than the national average of $148,000/year.