Median salary for a Machine Learning Engineer in San Jose is $215k per year. Hire remotely via KiteHR and save 52% — or $112k annually.
Local Median
$215k
Remote Median
$103k
You Save
52%
Annual Savings
$112k
| Percentile | Local (San Jose) | Remote |
|---|---|---|
| P25 — Entry level | $180k | $92k |
| P50 — Median | $215k | $103k |
| P75 — Senior / Lead | $280k | $114k |
Salary + estimated benefits, payroll taxes, and overhead (30% local / 15% remote).
In-person in San Jose
$280k
/year total cost
Remote via KiteHR
$119k
/year total cost
The median Machine Learning Engineer salary in San Jose is $215k per year. Entry-level roles start around $180k, while senior or lead-level Machine Learning Engineers can earn up to $280k. Data reflects 2025 market rates sourced from BLS OES, DOL H-1B LCA disclosures, and KiteHR market research.
Hiring a remote Machine Learning Engineer vs. a San Jose-based hire saves approximately 52% — or $112k per year. Remote Engineering professionals typically earn $103k median, compared to the local San Jose rate of $215k.
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.
The total employer cost — including salary, payroll taxes, health benefits, and overhead — for a Machine Learning Engineer in San Jose is approximately $280k per year. Hiring remote reduces this to roughly $119k, saving $161k annually.
How many Machine Learning Engineers are you hiring in San Jose?
Annual savings with remote team
$335k
$112k per role × 3 hires
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Generate JD with AIData 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.
Post a remote Machine Learning Engineer role on KiteHR, track applicants with AI-powered tools, and make your first hire — all for free.