Principal Machine Learning Engineer Salary in Austin (2026)
Principal Machine Learning Engineers in Austin earn a median base salary of $309K per year, based on 5,000 verified data points. This guide covers salary ranges, total comp, and negotiation tactics specific to the principal level in 2026.
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Machine Learning Engineer salary by level in Austin
See how principal-level pay compares to other seniority bands for the same role and location.
* Figures are approximate estimates relative to the principal-level verified data above.
What does a Principal Machine Learning Engineer earn in Austin in 2026?
The median base salary for a Principal Machine Learning Engineer in Austin is $309K per year, with the 25th–75th percentile range spanning $243K–$393K. Total annual compensation — including bonuses and equity — typically reaches $476K at the median for principal-level engineers.
At the principal level, engineers own cross-organisational technical strategy. The Principal level is the individual contributor equivalent of a Director, and compensation reflects both the scarcity of this talent and the leverage these engineers provide.
To negotiate effectively, open at $359K — the 65th percentile for this level and location — which gives you room to settle above median while appearing reasonable. Know your walk-away floor: $243K.
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Top-paying companies for Principal Machine Learning Engineers in Austin
| Company | Median Base |
|---|---|
| OpenAI | $561K |
| Anthropic | $542K |
| Google DeepMind | $418K |
| Meta AI | $399K |
| Microsoft Research | $390K |
| Tesla | $333K |
| Palantir | $371K |
Skills that pay more at the principal level
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