Machine Learning Engineer vs Embedded Systems 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.
Embedded Systems Engineer
Develop firmware and software for embedded hardware and IoT devices.
Embedded Systems Engineer earns more on average — the national median is $15,750/year (13%) higher than a Machine Learning Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Machine Learning Engineer vs Embedded Systems Engineer — Salary by City
National median figures in USD across top cities.
| City | Machine Learning Engineer | Embedded Systems Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $173,682 | $202,193 | Machine $28,511 |
| New York, NY | $135,980 | $161,501 | Machine $25,521 |
| Seattle, WA | $174,792 | $194,146 | Machine $19,354 |
| Austin, TX | $134,974 | $153,569 | Machine $18,595 |
| Chicago, IL | $129,773 | $147,632 | Machine $17,859 |
| Boston, MA | $157,928 | $180,677 | Machine $22,749 |
| London, UK | £78,216 | £107,963 | Machine $29,747 |
| Toronto, Canada | CA$134,265 | CA$182,205 | Machine $47,940 |
Frequently Asked Questions
Does a Machine Learning Engineer or Embedded Systems Engineer earn more?+
A Embedded Systems Engineer earns more on average. The national median salary for a Machine Learning Engineer is $120,230/year, compared to $135,980/year for a Embedded Systems Engineer — a difference of $15,750 (13%).
Which has better career growth — Machine Learning Engineer or Embedded Systems Engineer?+
Machine Learning Engineer roles are growing at 45% YoY while Embedded Systems Engineer demand is growing at 12% YoY. Machine Learning Engineer has stronger near-term demand growth.
Can you switch from Machine Learning Engineer to Embedded Systems Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Machine Learning Engineer or Embedded Systems Engineer?+
Machine Learning Engineer has a lower AI automation risk (22% vs 30%). Based on Oxford Martin School and McKinsey 2023 analysis.