ML Engineer Salary in San Francisco (2026)
Quick Answer
How much does ml engineer in San Francisco make?
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In 2026, Machine Learning Engineers in San Francisco earn an average annual salary of $216,805, with compensation ranging from $156,276 to $300,778, reflecting the city's high demand for AI expertise.
Key Facts
- Average ML Engineer salary in San Francisco: $216,805
- Salary range: $156,276 to $300,778
- Cost of living 65% higher than national average
- Top employers include Google, Amazon, and Facebook
- Key skills: Python, TensorFlow, Deep Learning
Salary by Experience Level
- Entry-Level (0-2 years): $101,000 - $180,000
- Mid-Level (2-5 years): $135,000 - $230,000
- Senior-Level (6+ years): $202,242 - $279,000
- Manager: $213,526 - $258,000
How San Francisco Compares
San Francisco's cost of living is 65% higher than the national average, with housing costs 161% above average. In contrast, cities like San Jose and Los Angeles have slightly lower living costs but also offer competitive salaries for ML Engineers.
Skills That Command Premium
Proficiency in Python, TensorFlow, and deep learning frameworks, along with experience in data analysis and natural language processing, significantly enhance earning potential.
Work Culture & Benefits
Top tech companies in San Francisco offer comprehensive benefits, including stock options, flexible work schedules, and opportunities for professional development, fostering a dynamic and innovative work environment.
Top Hiring Companies
Career Advice
To maximize earning potential, ML Engineers should focus on mastering in-demand skills like deep learning and natural language processing, and consider opportunities at leading tech companies in San Francisco.
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ML Engineer Insights — San Francisco
ML Engineer salaries in San Francisco range from $156,276 to $300,778, a 67% spread that reflects significant variation based on experience level, specialization, and company size. The median of $216,805 sits below the midpoint, suggesting more positions cluster toward the entry-to-mid-level end of the range.
San Francisco's cost of living index of 100/100 makes it one of the more expensive locations for tech professionals. While the $216,805 median is competitive, housing and daily expenses consume a larger share of income compared to lower-cost cities.
The hiring landscape for ml engineer in San Francisco is anchored by employers like Google, Amazon, and Facebook, along with 2 other notable employers. Larger employers in this market typically offer compensation at the upper end of the range, often supplemented with equity, signing bonuses, and comprehensive benefits.
Demand for ml engineer in San Francisco centers around expertise in Python, TensorFlow, Data Analysis, plus 2 other core competencies. Candidates with strong proficiency across these areas tend to command offers closer to the $300,778 ceiling, and have natural transition paths into roles like Data Scientist or AI Engineer.
Related Roles in San Francisco
Explore salary information for similar positions and compare compensation across different roles.
| Role | Location | Salary Range | Median |
|---|---|---|---|
| Software Engineer | San Francisco | $116,240 - $251,737 | $171,061 |
| Security Engineer | San Francisco | $111,803 - $312,614 | $186,953 |
| Data Scientist | San Francisco | $108,000 - $198,100 | $147,000 |
| DevOps Engineer | San Francisco | $125,305 - $242,521 | $174,325 |
| iOS Developer | San Francisco | $87,391 - $234,519 | $135,494 |
ML Engineer Salaries by City
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Frequently Asked Questions
What is the average salary for an ML Engineer in San Francisco?
The average annual salary for an ML Engineer in San Francisco is $216,805, with a range from $156,276 to $300,778.
How does the cost of living in San Francisco affect ML Engineer salaries?
San Francisco's cost of living is 65% higher than the national average, which is reflected in the higher salaries offered to ML Engineers in the area.
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Data Source & Methodology
Salary data for ml engineer in San Francisco is compiled from multiple verified sources including:
- Public salary reports from major tech employers (FAANG, Fortune 500, and high-growth startups)
- Government labor statistics and occupational wage surveys
- Aggregated self-reported compensation data from verified professionals
- Job posting analysis from major tech job boards and company career pages
All figures represent base salary in USD and are normalized to annual equivalents. Ranges reflect the 25th to 75th percentile of reported compensation, while median values represent the 50th percentile. Data is updated quarterly to reflect current market conditions.
Last updated: April 2026 | Sample size: Varies by role and location (minimum 30 data points required for publication)