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Salary comparison

AI Engineer vs Machine Learning Engineer salary

AI Engineers and Machine Learning Engineers earn about the same at the national median. Here is the full side-by-side breakdown.

AI Engineers and Machine Learning Engineers earn about the same at the national median — roughly $133,080 per year. Both figures are national benchmarks (one or both mapped from the nearest tracked occupation).

AI Engineer

Mapped est.

$133,080

Median annual wage

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

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 →
Exhibit 1

AI Engineer vs Machine Learning Engineer — pay distribution

Percentile-by-percentile comparison of national annual wages.

PercentileAnnual wage
10th percentileAI Engineer$79,850
MedianAI Engineer$133,080
90th percentileAI Engineer$211,450
10th percentileMachine Learning Engineer$79,850
MedianMachine Learning Engineer$133,080
90th percentileMachine Learning Engineer$211,450
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).

AI 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

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

Which should you choose?

On pay alone, the two are close at the median, so the decision comes down to the work itself.

Pick AI engineer if…

AI engineers build applications and systems powered by machine learning and large language models — one of the fastest-growing engineering roles, with pay that runs above the broader software baseline.

  • Frontier-lab vs. application-layer roles
  • Research vs. applied engineering
  • Years of experience and rare specialization

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

AI Engineer vs Machine Learning Engineer — frequently asked

Who earns more, AI engineers or machine learning engineers?
AI Engineers and Machine Learning Engineers earn about the same at the national median ($133,080).
What is the salary range for AI engineers vs machine learning engineers?
AI Engineers range from about $79,850 (10th percentile) to $211,450+ (90th), median $133,080. Machine Learning Engineers range from $79,850 to $211,450+, median $133,080.
Should I become a AI engineer or a machine learning engineer?
On pay alone, the two are comparable at the median. But the right choice depends on the work: ai engineers focus on integrate and fine-tune ml/llm models, build ai-powered features and pipelines, and deploy and monitor models in production, while machine learning engineers build training and inference pipelines, productionize models, and own model performance, monitoring, and scaling. Location and specialization move pay more than the title gap.
Source details

AI Engineer is not a BLS-tracked title; demand has pushed pay above the software baseline. 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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