ML Infrastructure Engineering salaries in California
ML Infrastructure Engineering professionals in California earn $172–270K per year on average, based on 3 jobs. ML Infrastructure Engineering roles in California pay 7% above the board-wide average of $166.2–247.2K for ML Infrastructure Engineering jobs on Get AI Careers.
Average salary range
$172–270K
Based on 3 jobs · 7% more than the average salary on Get AI Careers
25th percentile
$147.5K
Average
$221K
75th percentile
$305K
Other top paying titles in California
Highest paying job titles in California beyond ML Infrastructure Engineering, ranked by average salary.
Software Engineering
Avg. $173.8–248.3K · 15 Jobs
Machine Learning Engineering
Avg. $179.6–273.6K · 12 Jobs
Platform Engineering
Avg. $165.1–232.7K · 11 Jobs
Backend Engineering
Avg. $170.8–241.9K · 9 Jobs
Data Engineering
Avg. $147.3–197.2K · 8 Jobs
DevOps Engineering
Avg. $166.6–225K · 7 Jobs
Top paying skills in California
Highest paying skills in California, ranked by average salary.
Python
Avg. $166.1–238.6K · 47 Jobs
Kubernetes
Avg. $162.9–250.3K · 22 Jobs
PyTorch
Avg. $178–263.6K · 22 Jobs
AWS
Avg. $164.8–229.6K · 17 Jobs
Machine Learning
Avg. $188.9–265.2K · 16 Jobs
Terraform
Avg. $166.3–233.9K · 15 Jobs
Other locations for ML Infrastructure Engineering
Compare ML Infrastructure Engineering salaries in other locations.
See all locations for ML Infrastructure EngineeringML Infrastructure Engineering salary FAQs for California
All salary figures are converted to annual equivalents in USD. Averages are based on published jobs with salary data and filtered for statistical outliers.