Machine Learning Engineer Salary in San Francisco, CA — 2026
Machine Learning Engineer salary data for San Francisco, CA — adjusted for local cost of living. Entry-level to senior pay ranges, take-home pay calculator, and local job market insights.
The median Machine Learning Engineer salary in San Francisco, CA is $259,200 per year ($21,600/month, $125/hr). This reflects the local cost of living index of 180, which is 80% above the national average.
Also known as: ML Engineer, AI Engineer, Machine Learning Developer. Salary data on this page applies to all of these job titles in San Francisco, CA.
Machine Learning Engineer Take-Home Pay in San Francisco
Tax Breakdown (Median Salary)
| Gross Annual | $259,200 |
| Federal Tax | -$54,248 |
| State Tax (9.3%) | -$24,106 |
| FICA (SS + Medicare) | -$15,197 |
| Annual Take-Home | $165,649 |
| Monthly Take-Home | $13,804 |
Living Cost Comparison
Machine Learning Engineer Requirements
Key Skills
Machine Learning Engineer salary search terms in San Francisco
People comparing Machine Learning Engineer pay in San Francisco, CA may use related job-title wording. Salario keeps the main estimate tied to the Machine Learning Engineer role, then treats the terms below as comparison phrases that should be checked for licensing, employer type, seniority, and role scope.
| Comparison point | How to use it |
|---|---|
| Primary local answer | $259,200 median salary, $174,600-$367,200 modeled range, and $165,649 estimated take-home pay in San Francisco. |
| Title variants | ML Engineer, AI Engineer, Machine Learning Developer can point to similar searches, but some variants may represent a narrower specialty or a higher/lower seniority band. |
| Offer comparison | Compare base salary, hourly equivalent, take-home pay, certifications, local cost of living, and whether the job is employee, contractor, public-sector, commission-heavy, or management-level. |
San Francisco Job Market Overview
San Francisco, California has a population of 873,965 and an unemployment rate of 3.2%. The top industries are Technology, Finance, Healthcare. The local job growth rate is 2.5%, and the average commute time is 34 minutes.
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Machine Learning Engineer Salary in Nearby California Cities
Salary Percentile Breakdown — Machine Learning Engineer in San Francisco
Based on the cost-of-living-adjusted distribution for Machine Learning Engineer in San Francisco, CA, here's how earnings break down across the workforce:
| Percentile | Annual Salary | Hourly Equivalent | Career Stage |
|---|---|---|---|
| 10th (lowest) | $174,600 | $84/hr | Entry-level, < 1 yr exp. |
| 25th | $216,900 | $104/hr | Junior, 1-3 yrs exp. |
| 50th (median) | $259,200 | $125/hr | Mid-career, 3-5 years |
| 75th | $367,200 | $177/hr | Senior, 5-10 yrs exp. |
| 90th (top) | $459,000 | $221/hr | Lead/Principal, 10+ yrs |
Percentiles estimated using a log-normal salary distribution model calibrated to Machine Learning Engineer compensation data. Top earners (P90) typically include managers, specialists with rare skills, or those at high-paying employers in San Francisco's Technology sector.
5-Year Salary Trajectory
Machine Learning Engineer salaries in San Francisco have grown approximately 33.0% over the past 5 years, outpacing local CPI inflation in many cases. Here's the historical and projected trajectory:
Year-over-year, an average Machine Learning Engineer can expect a 11.2% annual increase moving from entry to senior level over 7 years in San Francisco. Negotiation, certifications (TensorFlow Developer Certificate, AWS Machine Learning), and changing employers strategically can accelerate this trajectory.
San Francisco vs National Average
The national median Machine Learning Engineer salary is $144,000. In San Francisco, the cost-of-living-adjusted median of $259,200 is 80.0% above the national figure. This reflects San Francisco's cost of living index of 180 (higher than the national average of 100).
For Machine Learning Engineers, this means: rent typically consumes 24.6% of take-home pay (households spending >30% are considered affordable), and a median home in San Francisco costs about 7.5× annual take-home. Homeownership in San Francisco on this salary is challenging — most experts recommend keeping home costs to 3-4× income.
Industry Context: Technology in San Francisco
San Francisco's economy is anchored by Technology, Finance, Healthcare, with 873,965 residents and 3.2% unemployment as of 2026. Machine Learning Engineers working in the Technology sector typically earn at or above the local median due to industry-specific demand. The state's overall job growth rate is 2.5%, and Machine Learning Engineer occupations specifically are projected to grow 40.0% nationally through 2034 (BLS Occupational Outlook Handbook).
Methodology & Data Sources
How we calculate Machine Learning Engineer salaries in San Francisco, CA:
- Base salary model starts with Salario occupation data and public wage references, including BLS OEWS and O*NET when a direct or related occupational crosswalk is available. For niche titles, we do not treat a broader SOC family as an exact job-title wage.
- Cost-of-living adjustment applied using the San Francisco index of 180 relative to the national baseline of 100, with local rent, home price, unemployment, and tax inputs checked separately.
- Percentile distribution (P10-P90) estimated from the entry, median, senior, and top compensation tiers in the Salario salary model rather than claimed as exact employer payroll data.
- Take-home pay calculated using 2026 federal tax brackets (10%-37%), CA state income tax of 9.3%, and FICA (Social Security 6.2% + Medicare 1.45%).
- Tax brackets and standard deduction ($16,100 single filer for tax year 2026) sourced from IRS Revenue Procedure 2025-32 and updated annually.
Authoritative data sources:
- BLS Occupational Employment and Wage Statistics — national and metro-area salary data
- O*NET OnLine — occupation tasks, alternate job titles, skills, and SOC crosswalks
- BLS Occupational Outlook Handbook — occupation outlook where a matching profile is available
- BLS Consumer Price Index (CPI-U) — regional inflation and cost-of-living data
- U.S. Census Bureau — San Francisco QuickFacts — population and demographic data
- IRS Revenue Procedure 2025-32 summary — 2026 federal tax brackets and standard deductions
- BLS Local Area Unemployment Statistics — San Francisco unemployment rate
Last reviewed: 2026. Salary data updated annually as new BLS releases become available. Machine Learning Engineer salaries can vary significantly based on employer, sector (Technology vs others in San Francisco), specific skill set (Python, TensorFlow, PyTorch), and individual negotiation. Always verify current compensation through multiple sources before making career decisions.
Frequently Asked Questions
What is the average Machine Learning Engineer salary in San Francisco, CA?
How much does a Machine Learning Engineer take home in San Francisco after taxes?
Is San Francisco a good city for Machine Learning Engineers?
What skills are needed for a Machine Learning Engineer in San Francisco?
How does Machine Learning Engineer salary in San Francisco compare to the national average?
What job titles are similar to Machine Learning Engineer in San Francisco?
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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 $259,200 per year as of 2026. This is adjusted for the local cost of living index of 180. Entry-level Machine Learning Engineers earn around $174,600, while senior-level professionals can earn $367,200 or more.
How much does a Machine Learning Engineer take home in San Francisco after taxes?
A Machine Learning Engineer earning the median salary of $259,200 in San Francisco, CA takes home approximately $165,649 per year ($13,804/month) after federal, state, and local taxes. The effective tax rate is 36.1%.
Is San Francisco a good city for Machine Learning Engineers?
San Francisco, CA has a cost of living index of 180 (above national average). Machine Learning Engineers here earn above the city median. The local unemployment rate is 3.2% and top industries include Technology, Finance, Healthcare.
What skills are needed for a Machine Learning Engineer in San Francisco?
Key skills for Machine Learning Engineers include Python, TensorFlow, PyTorch, Deep Learning, MLOps. Typical education requirement is Master's Degree. Valuable certifications include TensorFlow Developer Certificate, AWS Machine Learning.
How does Machine Learning Engineer salary in San Francisco compare to the national average?
The national median Machine Learning Engineer salary is $144,000. In San Francisco, the adjusted salary is $259,200, which is 80.0% higher than the national average, reflecting the local cost of living.
What job titles are similar to Machine Learning Engineer in San Francisco?
Related search terms for Machine Learning Engineer in San Francisco, CA include ML Engineer, AI Engineer, Machine Learning Developer. Use them as comparison terms, not always exact matches: licensing, employer type, seniority, public-sector rules, and whether the role is W-2, contractor, clinical, technical, management, or sales-focused can change the salary range.