Technology Los Angeles, CA Pop. 3,898,747

Machine Learning Engineer Salary in Los Angeles, California

The median machine learning engineer salary in Los Angeles, CA is $214,130 per year, which is 61.0% above the national median and 5.2% above the California state average.

City Median
$214,130
vs State Avg
+$10,640
vs National
+$81,130
Cost of Living
146%

Machine Learning Engineer Pay in Los Angeles: What to Expect (2026)

Los Angeles offers a median machine learning engineer salary of $214,130, which is $10,640 above the California state average of $203,490. Compared to the national median of $133,000, Los Angeles pays above average for this role.

However, Los Angeles's cost of living index is 146%, significantly above the national average. After adjusting for local costs, the $214,130 salary has an effective purchasing power of approximately $146,664. Housing, transportation, and food costs in Los Angeles should be factored into any relocation or job-change decision.

The salary range for machine learning engineers in Los Angeles spans from $132,020 at the 10th percentile to $330,050 at the 90th percentile — a $198,030 spread. Entry-level professionals start around $141,680, while senior machine learning engineers with 8+ years of experience can earn up to $309,120. As a major metro area with a population of 3,898,747, Los Angeles typically offers more job opportunities and employer competition, which can drive salaries higher.

Machine Learning Engineer Salary in Los Angeles by Experience

In Los Angeles, an entry-level machine learning engineer earns around $141,680, while experienced professionals earn up to $309,120 per year. The local cost of living index is 146% of the national average.

Entry Level (0-2 yrs)
$141,680
+$53,680 vs national
Mid Level (3-7 yrs)
$217,350
+$82,350 vs national
Senior Level (8+ yrs)
$309,120
+$117,120 vs national

Salary Percentiles in Los Angeles, CA

Percentile Los Angeles
10th Percentile $132,020
25th Percentile $173,880
Median (50th) $214,130
75th Percentile $270,480
90th Percentile $330,050

Machine Learning Engineer Salary in Other California Cities

How to Become a Machine Learning Engineer in Los Angeles

Education

Most machine learning engineer positions require a master's degree. Los Angeles and the surrounding California area have institutions offering relevant programs.

Key Skills

PythonTensorFlow/PyTorchMLOpsStatisticsDeep LearningData Engineering

Job Outlook

Nationally, machine learning engineer employment is projected to grow 40% over the next decade (much faster than average). Demand in Los Angeles may vary based on local industry and population growth.

Find Machine Learning Engineer Jobs in Los Angeles

Browse open machine learning engineer positions in Los Angeles, CA:

Frequently Asked Questions: Machine Learning Engineer Salary in Los Angeles

How much does a Machine Learning Engineer make in Los Angeles, CA? ▼
The median machine learning engineer salary in Los Angeles, California is $214,130 per year, which is 61.0% above the national median of $133,000. Salaries range from $132,020 (10th percentile) to $330,050 (90th percentile).
How much does a Machine Learning Engineer make per hour in Los Angeles? ▼
Based on the median annual salary of $214,130, a machine learning engineer in Los Angeles earns approximately $103 per hour assuming a standard 2,080-hour work year.
How does Los Angeles compare to the California state average for machine learning engineer pay? ▼
Los Angeles's median machine learning engineer salary of $214,130 is 5.2% above the California state average of $203,490. The local cost of living index is 146% of the national average.
What is the cost of living in Los Angeles, CA? ▼
Los Angeles has a cost of living index of 146% compared to the national average. This means a machine learning engineer salary of $214,130 in Los Angeles has less purchasing power than the same salary in an average-cost city.
What qualifications do I need to become a machine learning engineer in Los Angeles? ▼
Most machine learning engineer positions in Los Angeles require a master's degree. Key skills include Python, TensorFlow/PyTorch, MLOps, Statistics. The job market is projected to grow 40% nationally over the next decade.