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research engineer Salary in california

Based on 1209 active job postings in california  ·  Updated 2026

Min Salary
$156,000
per year
Average Salary
$309,700
per year
Max Salary
$475,000
per year
Jobs Found
1209
active listings

✨ AI Compensation Insight SALARY INSIGHTS

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

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Open research engineer Jobs in california 1209

Research Engineer, Developer Experience, Tinker
Thinkingmachines San Francisco, California
$475000 / per year Full Time
Apple GPU Compiler Backend/Research Engineer, Graphics, Game and ML
Apple Cupertino, California
$324800 / per year Full Time
Senior Machine Learning Research Engineer, NLP, Input Experience
Apple Cupertino, California
$324800 / per year Full Time
Research Scientist / Research Engineer
Clera San Francisco, California
$300000 / per year Full Time
Sr. Machine Learning Research Engineer, Siri Agent Modeling
Apple Cupertino, California
$277600 / per year Full Time
Research Engineer III
Boston Scientific Santa Clarita, California
$156000 / per year Full Time
Staff Research Engineer - Vision-Language Robotics
XDOF San Mateo, California
Full Time
Neuroengineering Research Engineer III - Hybrid Valencia
Boston Scientific Santa Clarita, California
Full Time
ML Research Engineer - Hardware Codesign
OpenAI San Francisco, California
Full Time
Founding AI Research Engineer - Robot Learning
Origin San Francisco, California
Full Time
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research engineer Salary FAQ

What is the average research engineer salary in california?
Based on 6 recent job postings, the average annual salary for a research engineer in california is approximately $309,700, with a range of $156,000 – $475,000.
How do I negotiate my research 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 research 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.