2026 Salary — California
Updated April 29, 2026
Machine Learning Engineer Salary in California: $191K Median
Machine Learning Engineers in California earn between $130K and $348K per year.
That's +18% above the US national median.
Quick Answer
As of April 2026, the median Machine Learning Engineer salary in California is $191,160 per year — +18% above the US national median of $162,000. Salaries range from $129,800 (entry, 25th percentile) to $348,100 (90th percentile). California's cost-of-living index is 145. State income tax applies.
Median
$191,160
+520.0% YoY
Entry
$153,400
Experienced
$295,000
Top 10%
$348,100
About Machine Learning Engineers in California
ML engineers design, build, and deploy machine learning models at scale, bridging research and production engineering.
Hot 2026 Skills
LLMsPyTorchRAG/fine-tuningDistributed trainingMLOps
ATS Keywords
PythonPyTorchTensorFlowscikit-learnMLOpsKubernetesfeature engineeringdistributed trainingLLMs
Machine Learning Engineer Salary in California Metros
Click any city for full breakdown including take-home pay calculator.
| City | Median |
|---|---|
| San Francisco | $251,100 |
| Los Angeles | $207,360 |
| San Diego | $191,160 |
| Sacramento | $174,960 |
| Oakland | $226,800 |
| Fresno | $153,900 |
| Long Beach | $194,400 |
How to Negotiate Your Machine Learning Engineer Salary in California
Walk-away anchor: $166,226.
Leverage Points
- Reference levels.fyi total compensation data for your level (L4/L5/etc.) at comparable companies
- Quantify recent shipped impact: latency reduced, revenue driven, on-call incidents resolved
- Hold a competing offer (or credible interview pipeline) before the salary conversation
- Highlight in-demand skill premiums: LLMs, Kubernetes, Rust, distributed systems
Negotiate Beyond Base
Sign-on bonus ($25K-$100K is standard at Big Tech)RSU refreshers and accelerated vesting cliffsRemote/hybrid flexibility and home-office stipendAnnual learning budget and conference allowanceSabbatical eligibility after 4-5 years
Machine Learning Engineer Salary FAQ — California
What is the average Machine Learning Engineer salary in California?
The average Machine Learning Engineer salary in California is $191,160 per year as of April 2026. Salaries range from $129,800 (entry, 25th percentile) up to $348,100 (90th percentile). State income tax applies.
How does Machine Learning Engineer pay in California compare to the US average?
Machine Learning Engineers in California earn approximately 18% more than the US national median ($162,000 nationally vs $191,160 in California). California's cost-of-living index of 145 partially offsets the higher salary.
Did Machine Learning Engineer salaries in California increase in 2026?
Yes — Machine Learning Engineer salaries in California grew approximately 520.0% year-over-year, from $30,832 in 2025 to $191,160 in 2026. This reflects the broader Technology sector's wage growth, driven by LLMs and PyTorch demand.
Which California cities pay Machine Learning Engineers the most?
Top-paying California metros for Machine Learning Engineers: San Francisco ($251K), Los Angeles ($207K), San Diego ($191K). Click any city for full breakdown including take-home pay.
What's the job outlook for Machine Learning Engineers in California?
ML engineering demand exploded 40%+ in 2025-2026 with the GenAI boom. Frontier labs paying $500K+ for senior roles. California's top industries include Tech, Entertainment, Agriculture, and the state's unemployment rate is 5.4% — steady demand for skilled workers.
Does California have state income tax?
Yes, California has state income tax. This affects take-home pay — at $191,160, expect 4-7% effective state tax depending on filing status. See city pages for detailed take-home calculations.
What skills are most in demand for Machine Learning Engineers in 2026?
Hottest 2026 skills: LLMs, PyTorch, RAG/fine-tuning, Distributed training, MLOps. ATS systems specifically scan for these. Adding them to your resume — naturally and in context — improves your match rate with California employers.
How can I increase my Machine Learning Engineer salary in California?
Based on levels.fyi data and what I'm seeing from comparable offers, total compensation for this level is closer to $X base plus equity. Can we close the gap on base or front-load the RSU grant? Beyond base, negotiate: Sign-on bonus ($25K-$100K is standard at Big Tech), RSU refreshers and accelerated vesting cliffs, Remote/hybrid flexibility and home-office stipend, Annual learning budget and conference allowance. Walk-away anchor for California: $166,226.
Methodology
California Machine Learning Engineer salary is the BLS national median ($162,000) adjusted by California's state multiplier (1.18×). YoY rate from BLS Employment Cost Index. Last reviewed April 29, 2026.
Machine Learning Engineer Salary in Other States
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