Machine Learning Engineer.
San Francisco.
$181,000
median salary, 36% above the national average
$135,000 to $237,000. Last updated August 2026.
Get the job.
Data points to own the conversation.
A Machine Learning Engineer in San Francisco earns a median of $181,000 in 2026. That is 36% above the national average. The range runs from $135,000 to $237,000, and where you land depends on your experience, your skills, and how well you negotiate. Production ML experience, deep learning framework fluency, and ability to optimize models for scale are the strongest differentiators. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.
Salary range.
Where do you fall?
Orbyt estimate for Machine Learning Engineer in San Francisco, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $186,640 for Software Developers (SOC 15-1252) in the San Francisco-Oakland-Fremont, CA metropolitan area, based on 69,030 employed workers (May 2025 release).
10th percentile
$128,090
25th percentile
$163,500
Median
$186,640
75th percentile
$219,670
90th percentile
$273,400
Workers surveyed
69,030
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than Machine Learning Engineer specifically. The San Franciscorange at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.
View the BLS source for SOC 15-1252Salary by experience.
The gap between entry and lead level is typically $163,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$118,000
to $145,000
Mid (3-5 yrs)
$154,000
to $190,000
Senior (6-9 yrs)
$199,000
to $235,000
Lead (10+ yrs)
$226,000
to $281,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $81,000 to the total package.
Base
$181,000
Equity
$49,000
Bonus
$21,000
Signing
$11,000
Estimated total: $262,000
Machine Learning Engineer salary by company.
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings (DOL).
How San Francisco compares.
San Francisco, CA
$181,000
Cost of living: 35% above average
National Average
$133,000
San Francisco is $48,000 above
Machine Learning Engineer salary by city.
Salary by role in San Francisco.
What you should know.
The Machine Learning Engineer landscape in San Francisco is not what most salary sites will tell you. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. Production ML experience, deep learning framework fluency, and ability to optimize models for scale are the strongest differentiators. Engineers who bridge research and production by deploying models that serve millions of predictions per day command significant premiums. Specialization in recommendation systems, search ranking, or fraud detection adds further value.
Entry level ML engineers start at $110,000 to $140,000, reaching mid level at $145,000 to $190,000 in two to three years. Senior ML engineers earn $190,000 to $260,000. Staff ML engineers at top companies exceed $350,000 in total compensation, with research oriented roles paying even more. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.
Base salary is not the full picture. Equity at AI focused companies adds $30,000 to $150,000+ annually. Bonuses of 10 to 20% are standard. Signing bonuses of $25,000 to $75,000 are common at well funded firms. Benefits frequently include GPU compute budgets, conference sponsorship, and research publication support. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $181,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for Machine Learning Engineers in San Francisco runs from $135,000 to $237,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology
Considering a related role?
- An AI Solutions Architect in San Francisco earns $180,000 (1% less)
- The highest-paying role in San Francisco is CTO at $401,000
- See all ai engineering roles tracked in Orbyt Intelligence
Common questions.
Machine Learning Engineer salary in other cities.
Other salaries in San Francisco.
Related salary pages
Jump to nearby roles and cities most relevant to Machine Learning Engineers in San Francisco.
Related tools.
Do you work as a machine learning engineer in San Francisco?
Your individual figure is never published. Submissions appear only as aggregate percentiles, and nothing is shown for a role and city until at least five people have reported. It is stored against your account, which is what keeps the dataset clean.
Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
Want this data on your site? Embed the salary widget. One script tag, free forever.
Related tools