Machine Learning Engineer vs AI Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Machine Learning Engineer
Design and deploy machine learning models to production systems.
AI Engineer
Build AI-powered products and integrate LLMs into applications.
Machine Learning Engineer earns more on average โ the national median is $0/year (0%) higher than a AI Engineer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
Machine Learning Engineer vs AI Engineer โ Salary by City
National median figures in USD across top cities.
| City | Machine Learning Engineer | AI Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $173,682 | $173,327 | Machine +$355 |
| New York, NY | $135,980 | $135,980 | Machine +$0 |
| Seattle, WA | $174,792 | $173,703 | Machine +$1,089 |
| Austin, TX | $134,974 | $137,883 | Machine $2,909 |
| Chicago, IL | $129,773 | $129,960 | Machine $187 |
| Boston, MA | $157,928 | $159,072 | Machine $1,144 |
| London, UK | ยฃ78,216 | ยฃ78,216 | Machine +$0 |
| Toronto, Canada | CA$134,265 | CA$134,265 | Machine +$0 |
Frequently Asked Questions
Does a Machine Learning Engineer or AI Engineer earn more?+
A Machine Learning Engineer earns more on average. The national median salary for a Machine Learning Engineer is $120,230/year, compared to $120,230/year for a AI Engineer โ a difference of $0 (0%).
Which has better career growth โ Machine Learning Engineer or AI Engineer?+
Machine Learning Engineer roles are growing at 45% YoY while AI Engineer demand is growing at 55% YoY. AI Engineer has stronger near-term demand growth.
Can you switch from Machine Learning Engineer to AI Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: Python.
Which is harder to automate โ Machine Learning Engineer or AI Engineer?+
AI Engineer has a lower AI automation risk (18% vs 22%). Based on Oxford Martin School and McKinsey 2023 analysis.