Machine Learning Engineer Salary
in San Francisco
2026 · Official labour data · 8 comparison cities
Last updated: August 2026 · Source: BLS OES Survey · 1.1M employer sample
Typical range: $138,112 – $218,413
How much does a Machine Learning Engineer make in San Francisco, CA?
A Machine Learning Engineer in San Francisco earns a median of $173,682/year (about $84/hour). Most earn between $138,112 (25th percentile) and $218,413 (75th percentile); top earners (90th percentile) make $268,569 or more — 44% above the US average. Figures are from BLS employer payroll data, not self-reports.
Understanding these Machine Learning Engineer salary numbers
We report percentiles, not a single average, because pay isn't evenly spread — a handful of very high earners would drag an average upward and mislead you. Here's exactly what each figure means.
Median (P50) — $173,682
Half of Machine Learning Engineers in San Francisco earn more than this and half earn less. It's the most honest "typical" salary — better than an average, which gets skewed by a few top earners.
25th percentile (P25) — $138,112
The lower end of the typical range: 75% of Machine Learning Engineers earn more than this. It's common for early-career roles or lower-cost employers. Earning below it is grounds to negotiate.
75th percentile (P75) — $218,413
Your negotiation target: only 25% of Machine Learning Engineers earn above it. Reaching P75 usually means seniority, in-demand specialisations, or simply negotiating from data. See how to negotiate.
90th percentile (P90) — $268,569
Top earners: only 10% of Machine Learning Engineers make this or more — typically senior, highly specialised, or at the best-paying employers.
Gross vs after-tax pay
These figures are gross (before tax). What actually reaches your account depends on your country, state, and deductions. Estimate your net with the take-home calculator.
National vs San Francisco pay
City figures apply the local market premium to BLS data, so San Francisco differs from the US average by +44%. A higher number isn't always better once cost of living is counted.
Hourly rate — $84/hr
The hourly figure is the annual median divided by 2,080 (40 hours × 52 weeks). If you regularly work more than 40 hours, your real hourly rate is lower than this. Convert any salary with the salary calculator.
Why this differs from Glassdoor or Payscale
Those sites publish what people say they earn (self-reports), which skew high because higher earners report more often. Our figures come from mandatory employer payroll records (BLS OEWS), so they reflect the whole market — not just a vocal subset.
How current and reliable is this number?
This page carries a confidence score of 97/100, based on the data source and coverage. US figures track the latest BLS release and refresh automatically; international figures use OECD/ILO data. See the changelog for live data freshness.
What counts as a "good" Machine Learning Engineer salary in San Francisco?
Around the median ($173,682) is solid and $218,413+ is strong — but "good" really depends on local costs. Check what the number is actually worth with the good-salary breakdown for San Francisco.
Still curious how we get these numbers? Every figure is traceable to a primary source — see the full methodology and data sources.
Machine Learning Engineer salary in San Francisco, CA: median $173,682 (P75 $218,413), per BLS OEWS via Official Salary, 2026.
Free JSON: /api/salary?job=ml-engineer&city=san-francisco — no key. API & widgets →
Key insights for Machine Learning Engineers in San Francisco
- ›Machine Learning Engineers in San Francisco earn about 44% more than the national median for the role ($174K vs $120K).
- ›Cost of living in San Francisco runs about 68% above the US average, so $174K is worth roughly $103K at national prices.
- ›After a simplified take-home estimate, $174K nets about $122K/yr — roughly $65K/yr left after typical single-person living costs here.
- ›Pay climbs with seniority: a senior/staff Machine Learning Engineer reaches about $257K — a +48% step from mid-level.
Machine Learning Engineers in San Francisco typically earn $138K–$218K a year.
The market median is $174K — half earn above, half earn below.
Top earners (top 10%) make $269K or more.
Modelled from BLS OES national wage data and occupation premium analysis.
Machine Learning Engineer Salary Analysis — San Francisco
Machine Learning Engineers in San Francisco earn a median salary of $174K, which is 44% above the national median of $120K. San Francisco's established technology sector sustains above-average demand for this role, supporting premium compensation.
Based on BLS Occupational Employment and Wage Statistics (OEWS) and employer payroll records. Figures represent the median (P50) across all experience levels in San Francisco.
Cost of Living Adjustment
San Francisco's cost of living is 68% above the US average. Your $174K salary has the equivalent purchasing power of approximately $103K in a city with average US living costs.
Salary Distribution — San Francisco
5-band distribution from employer payroll records
New graduates, 0–1 yr exp
1–3 years experience
3–7 years, typical professional
Senior / high-performer — target
Staff / principal / lead
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Official Salary Fair Pay Score™
Is $174K a good salary for Machine Learning Engineer in San Francisco?
Based on BLS data for 173,682 comparable professionals in this role
You're earning above the median — in the top half of this role's salary range.
Why This Salary?
How we arrived at $174K for Machine Learning Engineers in San Francisco
Source: BLS OES. All figures reflect 2026 market conditions.
Machine Learning Engineer Salary by Experience Level in San Francisco
How compensation grows from entry-level through staff / lead
| Experience Level | Years | Percentile | Annual Salary | Monthly | Hourly |
|---|---|---|---|---|---|
| Entry | 0 | 0 yrs | $118,104 | $9,842 | $57 |
| Junior | 2 | 2 yrs | $145,893 | $12,158 | $70 |
| Mid-LevelTypical | 4 | 4 yrs | $164,419 | $13,702 | $79 |
| Senior | 6 | 6 yrs | $190,355 | $15,863 | $92 |
| Staff | 10 | 10 yrs | $257,049 | $21,421 | $124 |
| Principal | 14 | 14 yrs | $322,354 | $26,863 | $155 |
| Distinguished | 18 | 18 yrs | $338,680 | $28,223 | $163 |
Based on BLS OEWS percentile distribution. Actual salary depends on employer, skills, and negotiation.
Skills That Earn More — Machine Learning Engineer
Estimated premium above the San Francisco median based on market demand
Estimates based on job-posting salary premiums for verified high-demand skills.
Machine Learning Engineer Intelligence Report
Career metrics and full compensation breakdown — from BLS demand data
Career Opportunity Score
Composite: demand growth × 1.4 + (100 − AI risk) × 0.4
Total Compensation — Machine Learning Engineer
Beyond base salary: bonus, equity, and benefits
Bonus, equity, and benefits are modelled estimates from category norms (not scraped from any single employer); base is BLS. Actual total comp varies by employer, level, and negotiation.
Typical Benefits for Machine Learning Engineers
— show
Often adds 20–35% to your effective pay
Compare Machine Learning Engineer Salaries by City
How San Francisco, CA stacks up against other major markets
| City | Median | P75 | vs US avg |
|---|---|---|---|
| San Francisco, CA (current) | $173,682 | $218,413+ | +44% |
| New York, NY | $135,980 | $173,160+ | +13% |
| Seattle, WA | $174,792 | $219,808+ | +45% |
| Austin, TX | $134,974 | $169,736+ | +12% |
| Boston, MA | $157,928 | $198,601+ | +31% |
| Chicago, IL | $129,773 | $163,195+ | +8% |
| Los Angeles, CA | $132,283 | $166,352+ | +10% |
| Denver, CO | $112,520 | $147,950+ | -6% |
| Washington DC, DC | $165,900 | $208,626+ | +38% |
Official Salary Career GPS™
What should I do next as a Machine Learning Engineer?
Master's in CS, ML, or Statistics · Ranked by income potential
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Go deeper on Machine Learning Engineer pay
Frequently Asked Questions
What is the average Machine Learning Engineer salary in San Francisco, CA?
The median Machine Learning Engineer salary in San Francisco, CA is $174K per year (2026), based on BLS OEWS employer payroll data from 1.1 million employers. The top 25% earn $218K+ per year.
What is a good Machine Learning Engineer salary in San Francisco, CA?
The 75th percentile ($218K/yr) is the professional benchmark — what the top quarter already earns. It's a documented, negotiable target backed by BLS payroll data. Anything above the median ($174K) is above-average for this role in San Francisco, CA.
How much does a Machine Learning Engineer earn per hour in San Francisco, CA?
Based on the median annual salary of $174K, a Machine Learning Engineer in San Francisco, CA earns approximately $84/hr (2,080-hour work year). The P75 rate is ~$105/hr.
Is San Francisco, CA a good market for Machine Learning Engineers?
San Francisco, CA pays 44% above the US national average for this role. Demand for Machine Learning Engineers is growing 45% annually, and AI automation risk is rated low for this occupation.
How do I negotiate a higher Machine Learning Engineer salary in San Francisco, CA?
Cite the BLS P75 figure ($218K) — it is verifiable public data from government payroll records. Request the full compensation package: base + equity/bonus + benefits. Timing matters: negotiate at the offer stage, not after acceptance. Counter with a specific number, not a range.
What is the entry-level Machine Learning Engineer salary in San Francisco, CA?
Entry-level Machine Learning Engineers in San Francisco, CA (10th–25th percentile) earn roughly $112K–$138K per year, rising toward the $174K median with experience and in-demand skills.
What does a senior Machine Learning Engineer earn in San Francisco, CA?
Senior Machine Learning Engineers in San Francisco, CA — the top quartile up to the 90th percentile — earn about $218K–$269K per year, with the top 10% making $269K+.
How Is This Salary Calculated?
Every number is derived from a transparent, reproducible methodology — no estimates, no black boxes.
Where does the salary data come from?
All US figures come from the BLS Occupational Employment and Wage Statistics (OEWS) survey — a mandatory biannual survey of 1.1 million US employers who report actual payroll data.
How is the San Francisco figure calculated?
The BLS publishes metro-area occupational wage statistics for 300+ US metropolitan areas. For San Francisco, Official Salary uses the BLS metro premium ratio (metro median ÷ national median) and applies it to the national baseline.
What do P10, P25, P50, P75, and P90 mean?
These are salary percentiles from employer payroll records. P50 (median) means 50% of workers earn less. P75 means 75% earn less — this is the recommended negotiation anchor. P10 and P90 represent the bottom 10% and top 10% respectively.
How is take-home pay estimated?
Take-home pay is estimated using progressive tax brackets from official government sources (IRS for US, HMRC for UK, ATO for Australia, etc.). Social contributions (National Insurance, FICA, etc.) are added. These are estimates — actual take-home depends on deductions, filing status, and location.
How often is data updated?
US BLS salary data refreshes every 24 hours via the BLS public API. OECD international wages refresh monthly. ECB currency rates refresh every 4 hours.
Full formulas and source citations on the methodology page.
What a Machine Learning Engineer salary really means in San Francisco
Take-home pay, rent affordability, and remote benchmarking — on the $173,682 median.
Estimated take-home
≈ $10,764/month net
- Gross median
- $173,682
- Income tax
- −$31,222
- Social / FICA
- −$13,287
- Effective rate
- 26%
Federal income tax only (FICA included). State income tax varies. Single-filer estimate — not tax advice.
Rent affordability
of take-home on a typical 1-bed (~$1,848/mo)
The 30% rule says housing should stay under 30% of take-home. Here it's comfortably within that line. After all living costs (~$4,400/mo), roughly $6,364/mo is left to save or invest.
Cost-of-living data for San Francisco; rent ≈ 42% of budget.
Remote vs onsite
typical fully-remote benchmark range
Onsite Machine Learning Engineers in San Francisco earn the local median of $173,682. Fully-remote roles are usually benchmarked between the US median ($120,230) and the local rate — employers increasingly set remote pay by national or regional bands, not your city.
Compare all Machine Learning Engineer markets →How to reach the top 25% as a Machine Learning Engineer in San Francisco
The gap between a typical Machine Learning Engineer and the top quartile in San Francisco is $44,731/year — about $3,728/month more than the median. Reaching the 75th percentile ($218,413) usually comes down to seniority, in-demand specialisations, and negotiating from real data instead of hoping for a raise. Pay for this role has grown about 1.1% per year, so the target keeps moving up.
Machine Learning Engineer Salary Trend (2019–2024)
BLS OES historical national medians
Source: BLS OEWS 2019–2024. City-level data uses national trend × metro premium.
Education Premium — Machine Learning Engineer
How degree level affects salary · ACS Census data
Source: US Census Bureau ACS PUMS · BLS OES wage data.
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California Salary Transparency Law
Effective Jan 1, 2023Employers with 15+ employees must include pay range in all job postings
As a job seeker in California, you have the legal right to request salary ranges in job postings.
Machine Learning Engineer in Other Cities
Top Technology Jobs in San Francisco
Data Source & Attribution
Salary data sourced from the U.S. Bureau of Labor Statistics OEWS survey (1.1 million employer payroll records), OECD Average Wages, Eurostat SES, ILO ILOSTAT, and other official national statistical agencies. Data is updated via ISR and reflects the most recent release cycle.