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Salary comparison

Machine Learning Engineer vs Robotics Engineer salary

Machine Learning Engineers out-earn robotics engineers by about $15,330 at the median. Here is the full side-by-side breakdown — pay range, top states, and experience.

Machine Learning Engineers earn more — a median of $133,080 versus $117,750 for robotics engineers, a gap of about $15,330 (13%). Both figures are national benchmarks (one or both mapped from the nearest tracked occupation).

Machine Learning Engineer

Mapped est.

$133,080

Median annual wage

Entry (10th pct)
$79,850
Top 10%
$211,450
Discipline
Emerging
Machine Learning Engineer salary details →

Robotics Engineer

Mapped est.

$117,750

Median annual wage

Entry (10th pct)
$62,840
Top 10%
$183,510
Discipline
Emerging
Robotics Engineer salary details →
Exhibit 1

Machine Learning Engineer vs Robotics Engineer — pay distribution

Percentile-by-percentile comparison of national annual wages.

PercentileAnnual wage
10th percentileMachine Learning Engineer$79,850
MedianMachine Learning Engineer$133,080
90th percentileMachine Learning Engineer$211,450
10th percentileRobotics Engineer$62,840
MedianRobotics Engineer$117,750
90th percentileRobotics Engineer$183,510
Source: national wage benchmarks for each occupation. Emerging titles are mapped to the nearest tracked occupation and labeled accordingly.

Pay by experience

Modeled progression from entry to principal level for each role (estimated from the national percentile curve).

Machine Learning Engineer

Entry level 0–2 yrs$104,000
Early career 3–5 yrs$125,000
Mid level 6–9 yrs$143,500
Senior 10–14 yrs$162,500
Principal / Staff 15+ yrs$179,500

Robotics Engineer

Entry level 0–2 yrs$92,000
Early career 3–5 yrs$110,500
Mid level 6–9 yrs$127,000
Senior 10–14 yrs$143,500
Principal / Staff 15+ yrs$159,000

Which should you choose?

On pay alone, machine learning engineers earn about 13% more at the median — but location and specialization routinely move pay by more than that gap.

Pick machine learning engineer if…

Machine learning engineers design, train, and deploy ML models inside production systems, owning everything from data pipelines to live model monitoring.

  • Research vs. production ML focus
  • Company type (Big Tech and AI labs pay a premium)
  • Years of experience

Pick robotics engineer if…

Robotics engineers design and build robots and robotic systems, blending mechanical, electrical, and software engineering into machines that sense, decide, and move.

  • Hardware vs. software/perception focus
  • Industry (autonomous vehicles, warehouse, surgical)
  • Years of experience and specialization

Machine Learning Engineer vs Robotics Engineer — frequently asked

Who earns more, machine learning engineers or robotics engineers?
Machine Learning Engineers earn more at the median — $133,080 versus $117,750 for robotics engineers, a gap of about $15,330 (13%).
What is the salary range for machine learning engineers vs robotics engineers?
Machine Learning Engineers range from about $79,850 (10th percentile) to $211,450+ (90th), median $133,080. Robotics Engineers range from $62,840 to $183,510+, median $117,750.
Should I become a machine learning engineer or a robotics engineer?
On pay alone, machine learning engineers earn about 13% more. But the right choice depends on the work: machine learning engineers focus on build training and inference pipelines, productionize models, and own model performance, monitoring, and scaling, while robotics engineers design robot mechanisms and control systems, develop perception and motion software, and integrate and test full systems. Location and specialization move pay more than the title gap.
Source details

Machine Learning Engineer is not a BLS-tracked title. BLS does not publish a separate wage for this title, so the figures shown are the published wage for BLS SOC 15-1252 Software Developers — the closest tracked occupation. Actual pay for this specialization can sit above or below it.

Benchmarks come from published government wage data via BLS OEWS. Local and emerging-role figures are labeled estimates. Full methodology →

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