San Francisco, CA

Machine Learning Engineer Salary in San Francisco

Median salary for a Machine Learning Engineer in San Francisco is $260k per year. Hire remotely via KiteHR and save 52% — or $135k annually.

Local Median

$260k

Remote Median

$125k

You Save

52%

Annual Savings

$135k

Local vs. Remote Salary Comparison

Local (In-person)$260k
$200kmedian$320k
Remote (via KiteHR)$125k
$112kmedian$138k

Salary Percentile Breakdown

PercentileLocal (San Francisco)Remote
P25 — Entry level$200k$112k
P50 — Median$260k$125k
P75 — Senior / Lead$320k$138k

Total Employer Cost

Salary + estimated benefits, payroll taxes, and overhead (30% local / 15% remote).

In-person in San Francisco

$338k

/year total cost

Remote via KiteHR

$144k

/year total cost

Total employer savings$194k/yr

Frequently Asked Questions

What is the average Machine Learning Engineer salary in San Francisco?

The median Machine Learning Engineer salary in San Francisco is $260k per year. Entry-level roles start around $200k, while senior or lead-level Machine Learning Engineers can earn up to $320k. Data reflects 2025 market rates sourced from BLS OES, DOL H-1B LCA disclosures, and KiteHR market research.

How much can I save hiring a remote Machine Learning Engineer?

Hiring a remote Machine Learning Engineer vs. a San Francisco-based hire saves approximately 52% — or $135k per year. Remote Engineering professionals typically earn $125k median, compared to the local San Francisco rate of $260k.

Is it common to hire a remote Machine Learning Engineer?

Yes — Engineering roles like Machine Learning Engineer have a high degree of remote compatibility. Latin America, Eastern Europe, and Southeast Asia have deep talent pools for this category. KiteHR can help you post the role, screen candidates, and manage the hiring pipeline entirely online.

What is the total employer cost for a Machine Learning Engineer in San Francisco?

The total employer cost — including salary, payroll taxes, health benefits, and overhead — for a Machine Learning Engineer in San Francisco is approximately $338k per year. Hiring remote reduces this to roughly $144k, saving $194k annually.

Savings Calculator

How many Machine Learning Engineers are you hiring in San Francisco?

Headcount3
11020

Annual savings with remote team

$406k

$135k per role × 3 hires

Start hiring remote via KiteHR

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Role Insights

Demand in San Francisco
high
Category
Engineering
Data year
2025
Currency
USD

Data sourced from BLS OES, DOL H-1B LCA disclosures, and KiteHR market research. Figures are estimates and may vary by company, seniority, and experience level.

Machine Learning Engineer Salary in Other Cities

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