Salary Data

Machine Learning Engineer Salary in San Francisco

$209,000

median salary, 35% above the national average

According to Orbyt's 2026 salary analysis, the average Machine Learning Engineer salary in San Francisco is $209,000. Salaries range from $162,000 (25th percentile) to $270,000 (75th percentile), adjusted for San Francisco's cost of living.

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Salary range

25th Percentile

$162,000

per year

Median

$209,000

per year

75th Percentile

$270,000

per year

How San Francisco compares

San Francisco, CA

$209,000

Cost of living: 35% above average

National Average

$155,000

San Francisco is $54,000 above

Machine Learning Engineer job market in San Francisco

San Francisco market overview

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.

What drives Machine Learning Engineer salaries

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.

Beyond base salary

Total compensation

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.

Tax considerations in San Francisco

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.

Career progression

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.

Top industries in San Francisco

Software & SaaSArtificial IntelligenceFintechBiotechVenture Capital

Negotiating in San Francisco

Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here.

Machine Learning Engineer salary FAQ

A master's degree is nearly standard for ML engineering roles and typically adds $15,000 to $25,000 in starting salary. A PhD opens research focused positions paying $200,000+ at entry level. However, demonstrated ability to ship production ML systems can substitute for formal academic credentials.

ML engineers at AI native companies (OpenAI, Anthropic, DeepMind) earn 20 to 40% more than counterparts at traditional tech firms. The premium reflects both the specialized nature of the work and intense competition among AI labs for a limited pool of qualified candidates.

According to Orbyt's 2026 salary analysis, the average Machine Learning Engineer salary in San Francisco, CA is $209,000. Entry level positions start around $162,000, while experienced professionals earn up to $270,000 or more depending on skills, company size, and industry.

Machine Learning Engineers in San Francisco commonly receive benefits including health insurance, retirement contributions, paid time off, and professional development budgets. Many employers also offer remote work flexibility, signing bonuses, and performance based bonuses. Total compensation often exceeds base salary by 20% to 40%.

Machine Learning Engineer salary in other cities

Other salaries in San Francisco

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