Mid-Level Machine Learning Engineer Salary in San Francisco (2026)
Mid-Level Machine Learning Engineers in San Francisco earn a median base salary of $61K per year, based on 429 verified data points. This guide covers salary ranges, total comp, and negotiation tactics specific to the mid-level level in 2026.
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Machine Learning Engineer salary by level in San Francisco
See how mid-level-level pay compares to other seniority bands for the same role and location.
* Figures are approximate estimates relative to the mid-level-level verified data above.
What does a Mid-Level Machine Learning Engineer earn in San Francisco in 2026?
The median base salary for a Mid-Level Machine Learning Engineer in San Francisco is $61K per year, with the 25th–75th percentile range spanning $54K–$71K. Total annual compensation — including bonuses and equity — typically reaches $88K at the median for mid-level-level engineers.
At the mid-level level, engineers are working independently and delivering end-to-end features. Compensation has moved meaningfully above junior levels, and further progression to senior typically comes within 2–4 years for high performers.
To negotiate effectively, open at $67K — the 65th percentile for this level and location — which gives you room to settle above median while appearing reasonable. Know your walk-away floor: $54K.
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Top-paying companies for Mid-Level Machine Learning Engineers in San Francisco
| Company | Median Base |
|---|---|
| OpenAI | $295K |
| Anthropic | $285K |
| Google DeepMind | $220K |
| Meta AI | $210K |
| Microsoft Research | $205K |
| Tesla | $175K |
| Palantir | $195K |
Skills that pay more at the mid-level level
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