Salary Expectations
Machine Learning Engineering can offer strong earning potential, although compensation varies considerably based on experience, technical specialization, location, industry, and employer. Compensation at large technology companies may also include bonuses and equity in addition to base salary
Current U.S. Salary Estimates
As of July 2026, ZipRecruiter reports an average U.S. Machine Learning Engineer salary of approximately $128,769 per year, with the middle 50% of reported salaries ranging from about $101,500 to $155,000. Its reported 90th-percentile figure is approximately $178,000.
Salary.com provides a more conservative estimate, reporting an average of approximately $109,927 per year as of July 1, 2026, with a 25th-to-75th-percentile range of approximately $101,098 to $119,234.
Salary Snapshot
| Measure | Approximate U.S. Salary |
|---|---|
| Salary.com average | $109,927 |
| ZipRecruiter average | $128,769 |
| ZipRecruiter 25th percentile | $101,500 |
| ZipRecruiter 75th percentile | $155,000 |
| ZipRecruiter 90th percentile | $178,000 |
These figures are useful as general market indicators rather than promises of what an individual Machine Learning Engineer will earn. Entry-level positions may pay less, while experienced engineers in highly competitive markets or specialized AI roles can earn substantially more.
What Influences Salary?
- Years of professional experience
- Programming and software-engineering ability
- Machine learning and deep-learning expertise
- Cloud and MLOps experience
- Specialized knowledge in areas such as computer vision, natural language processing, recommendation systems, or generative AI
- Industry and employer
- Geographic location
- Education and advanced technical expertise
- Scope and complexity of the systems being built
- Leadership responsibilities
Base Salary vs. Total Compensation
When comparing Machine Learning Engineer positions, pay attention to whether a salary figure represents base salary or total compensation. Some employers—particularly larger technology companies—may supplement base pay with annual bonuses, stock or other equity awards, and additional benefits.
Career Tip: Don’t evaluate an opportunity based only on the advertised salary. Consider total compensation, learning opportunities, the technical work you’ll perform, career advancement, workplace flexibility, and the experience you’ll gain building real machine learning systems.