Fresher
10th to 25th percentile
From
$99,170
To
$130,430
Use this for early-career offers or roles with limited paid experience.
Summarize with AI
Machine Learning Engineer salary data in San Francisco from BLS OEWS 2025, with median pay, fresher range, intermediate range, senior range, and metro source notes.
Median annual salary
$170,110
BLS OEWS 2025
25th percentile
$130,430
Lower market anchor
75th percentile
$212,970
Upper market anchor
Mean annual salary
$174,830
Average published wage
Pick a work area, role, location, and experience band to compare salary ranges.
Selected
Intermediate salary for Machine Learning Engineer in San Francisco
Open the page for the 25th to 75th percentile and the full percentile breakdown.
These bands translate salary percentiles into practical fresher, intermediate, and senior salary ranges. They are not fixed years-of-experience rules.
Median salary
$170,110
10th to 25th percentile
From
$99,170
To
$130,430
Use this for early-career offers or roles with limited paid experience.
25th to 75th percentile
From
$130,430
To
$212,970
Use this for candidates with proven role skills and solid delivery history.
75th to 90th percentile
From
$212,970
To
$272,430
Use this for senior candidates, scarce skills, or higher-paying employers.
Freshers and entry-level candidates can compare machine learning engineer offers in San Francisco against $99,170 to $130,430.
Intermediate candidates can compare machine learning engineer offers in San Francisco against $130,430 to $212,970.
Senior candidates can compare machine learning engineer offers in San Francisco against $212,970 to $272,430.
San Francisco is a BLS metro estimate. The other rows are BLS metro areas for Data Scientists, so candidates can compare local pay with major hiring markets.
Mean annual salary
San Francisco
San Francisco-Oakland-Fremont, CA
$174,830
Seattle
Seattle-Tacoma-Bellevue, WA
$160,460
New York
New York-Newark-Jersey City, NY-NJ-PA
$144,700
Washington DC
Washington-Arlington-Alexandria, DC-VA-MD-WV
$143,510
Boston
Boston-Cambridge-Newton, MA-NH
$137,030
Los Angeles
Los Angeles-Long Beach-Anaheim, CA
$136,700
Austin
Austin-Round Rock-San Marcos, TX
$126,830
Denver
Denver-Aurora-Centennial, CO
$125,040
Miami
Miami-Fort Lauderdale-West Palm Beach, FL
$123,250
Dallas
Dallas-Fort Worth-Arlington, TX
$123,150
This chart compares machine learning engineer pay in San Francisco with other roles available in the salary directory. Each row uses BLS OEWS min, avg, and top salary data.
Mean annual salary
Physician
Physicians, All Other, SOC 29-1229
$252,720
Psychiatrist
Physicians, All Other, SOC 29-1229
$252,720
Surgeon
Physicians, All Other, SOC 29-1229
$252,720
CIO
Computer and Information Systems Managers, SOC 11-3021
$249,040
CTO
Computer and Information Systems Managers, SOC 11-3021
$249,040
Engineering Manager
Computer and Information Systems Managers, SOC 11-3021
$249,040
IT Manager
Computer and Information Systems Managers, SOC 11-3021
$249,040
VP of Engineering
Computer and Information Systems Managers, SOC 11-3021
$249,040
Branch Manager
Financial Managers, SOC 11-3031
$244,930
Machine Learning Engineer
Data Scientists, SOC 15-2051
$174,830
The median annual salary for machine learning engineers in San Francisco is $170,110. The middle market range runs from $130,430 at the 25th percentile to $212,970 at the 75th percentile. The wider salary range runs from $99,170to $272,430.
| Measure | Value | How to read it |
|---|---|---|
| 10th percentile | $99,170 | Lower published wage point |
| 25th percentile | $130,430 | Common lower market anchor |
| Median | $170,110 | Middle of the BLS wage range |
| 75th percentile | $212,970 | Upper market anchor |
| 90th percentile | $272,430 | High published wage point |
This page maps Machine Learning Engineer to BLS occupation Data Scientists, SOC 15-2051. The wage data is annual USD salary from BLS OEWS 2025. It does not include equity, signing bonus, bonus targets, benefits value, or self-employed income.
This page uses the BLS OEWS occupation Data Scientists, SOC 15-2051, as the public wage source for Machine Learning Engineer.
The median annual salary for machine learning engineers in San Francisco is $170,110, based on BLS OEWS 2025 data for Data Scientists.
Freshers and entry-level candidates can use the 10th to 25th percentile range as a guide. For machine learning engineers in San Francisco, that range is $99,170 to $130,430. It is a percentile band, not a fixed years-of-experience rule.
Intermediate candidates can compare offers against the 25th to 75th percentile range. For machine learning engineers in San Francisco, that range is $130,430 to $212,970.
Senior candidates can use the 75th to 90th percentile range for stronger skill depth, senior scope, or higher-paying employers. For machine learning engineers in San Francisco, that range is $212,970 to $272,430.
No. BLS OEWS wage estimates cover wages and salaries. They do not fully capture equity, signing bonuses, annual bonus targets, benefits value, or contractor rates.
Use percentiles as market anchors. The 10th to 25th percentile can fit fresher or lower-paid roles, the median is the midpoint, and the 75th to 90th percentile can fit stronger experience, scarce skills, or higher-paying employers.
BLS publishes wages by standard occupation. This page maps Machine Learning Engineer to Data Scientists, SOC 15-2051, so the numbers come from a public wage series instead of a private survey.
San Francisco is displayed as a candidate-friendly city label, but the underlying wage estimate is for the BLS metro area San Francisco-Oakland-Fremont, CA, not strict city limits.