United States • USD • Internal Revenue Service (IRS)View GlobalWe use cookies and similar technologies to improve your experience, analyze traffic, and serve personalized ads. See our Privacy Policy.
United States • USD • Internal Revenue Service (IRS)View GlobalWe use cookies and similar technologies to improve your experience, analyze traffic, and serve personalized ads. See our Privacy Policy.
Average pay, salary range, and career outlook for machine learning engineers in Austin, United States.
Austin is 5% above the United States average for machine learning engineers.
Entry Level
$84,000
Average
$136,500
Experienced
$199,500
Austin's growing tech scene offers strong salaries with no state income tax and lower cost of living.
| City | Average Salary | Multiplier |
|---|---|---|
| San Francisco | $182,000 | 1.4x |
| New York | $175,500 | 1.35x |
| Seattle | $156,000 | 1.2x |
| Boston | $149,500 | 1.15x |
| Los Angeles | $143,000 | 1.1x |
| Austin | $136,500 | 1.05x |
| Denver | $136,500 | 1.05x |
| Chicago | $130,000 | 1x |
| Miami | $130,000 | 1x |
| Houston | $123,500 | 0.95x |
The average machine learning engineer salary in Austin is $136,500 per year. Entry-level positions start at $84,000, while experienced professionals earn up to $199,500.
Austin has a salary multiplier of 1.05x compared to the United States average. This means salaries are higher than average, reflecting the local cost of living and demand for machine learning engineer professionals.
The salary range for machine learning engineers in Austin is $71,400 to $252,000 per year, depending on experience, skills, and employer.
Austin offers competitive opportunities for machine learning engineer professionals. Austin's growing tech scene offers strong salaries with no state income tax and lower cost of living.