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artificial intelligence engineer Salary in california

Based on 51 active job postings in california  ·  Updated 2026

Min Salary
$166,400
per year
Average Salary
$167,520
per year
Max Salary
$350,000
per year
Jobs Found
51
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for artificial intelligence engineer in california...

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Open artificial intelligence engineer Jobs in california 51

Artificial Intelligence Engineer
Code Red Partners San Francisco, California
$350000 / per year Full Time
Artificial Intelligence Engineer
Harnham San Mateo, California
$350000 / per year Full Time
Artificial Intelligence Engineer
Strativ Group San Francisco, California
$300000 / per year Full Time
Artificial Intelligence Engineer
Take2 Consulting, LLC San Jose, California
$185000 / per year Full Time
Artificial Intelligence Engineer
The Mice Groups, Inc. Redwood City, California
$166400 / per year Full Time
Machine Learning /Artificial Intelligence engineer
SynergisticIT San Diego, California
Full Time
Artificial Intelligence Engineer
Parick freer California City, California
Full Time
Artificial Intelligence Engineer
Company.ai San Francisco, California
Full Time
Artificial Intelligence Engineer
Career Movement Los Angeles, California
Full Time
Artificial Intelligence Engineer
Ouso San Francisco, California Remote
Full Time
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artificial intelligence engineer Salary FAQ

What is the average artificial intelligence engineer salary in california?
Based on 15004 recent job postings, the average annual salary for a artificial intelligence engineer in california is approximately $167,520, with a range of $166,400 – $350,000.
How do I negotiate my artificial intelligence engineer salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect artificial intelligence engineer compensation in california?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.