Engineering · Salary Guide · San Francisco
Machine Learning Engineer Salary in San Francisco
San Francisco continues to set the top of the compensation market in 2026, particularly for AI/ML roles. Base salaries run 30–40% above the national average, and equity packages at AI labs have pushed total comp at staff-level roles past $900k in some offers. The cost of living is the counterweight: a $250k base in SF is roughly equivalent in purchasing power to $165k in Austin. California's 13.3% top marginal state income tax is the highest in the US, and rent for a 1BR averages $3,400/month. Remote-first companies headquartered in SF often still pay SF rates regardless of employee location, so it's worth asking about geographic pay bands before assuming you need to move.
Median base in San Francisco
$263k
Cost of living index
180
US = 100
Market multiplier
1.35x
vs US national
Salary by experience level in San Francisco
| Experience level | Base salary (US national) |
|---|---|
| Entry (0–2 yrs) | $155k – $230k |
| Mid (3–5 yrs) | $216k – $317k |
| Senior (6–9 yrs) | $290k – $459k |
| Staff / Principal (10+ yrs) | $419k – $810k |
Adjusted from national ranges using the San Francisco market multiplier (1.35x).
Tax and take-home considerations
California state income tax up to 13.3%. High total tax burden offset by highest base salaries.
Dominant employers in San Francisco
Highest base salaries in the US but COL roughly 2x national average.
FAQ
What is the average machine learning engineer salary in San Francisco?
The median base salary for a machine learning engineer in San Francisco is approximately $263k in 2026. San Francisco continues to set the top of the compensation market in 2026, particularly for AI/ML roles.
Does San Francisco have state income tax for machine learning engineers?
California state income tax up to 13.3%. High total tax burden offset by highest base salaries.
Which companies hire the most machine learning engineers in San Francisco?
The dominant employers in San Francisco are OpenAI, Stripe, Anthropic, Salesforce, Airbnb. Highest base salaries in the US but COL roughly 2x national average.
What is the average ML engineer salary in the US?
As of 2026, the median base salary for a US ML engineer is about $195,000, with mid-level ranges of $160k–$235k. Total compensation varies widely — applied ML engineers at Big Tech clear $300k–$450k TC, while research engineers at frontier AI labs reach $700k–$1.1M+.
How much do research engineers at OpenAI or Anthropic make?
Research engineers at OpenAI and Anthropic typically earn $350k–$700k total comp at the mid level and $700k–$1.1M+ at the senior level. Compensation is paid in base plus PPUs (OpenAI) or equity (Anthropic). Offers above $1M generally require a published research track record.
Related Machine Learning Engineer Resources
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