BLS OEWS, May 2025

Machine learning engineer salary in the US

What machine learning engineers are paid in the US, from the 10th to the 90th percentile, with how your own pay compares. Figures from the BLS OEWS release dated May 2025.

Median annual pay

$120,230

Middle half earn

$85,660 to $158,880

People in this job, US

262,440

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Data Scientists, national, annual pay, May 2025

10th percentile
$67,240
25th percentile
$85,660
Median
$120,230
75th percentile
$158,880
90th percentile
$199,130

Counted under Data Scientists, the closest published occupation.

Source: BLS OEWS, May 2025, SOC 15-2051. Percentiles across everyone employed in the occupation, not experience levels.

At a glance

What machine learning engineers earn across the US

  • The highest-paying large metros are San Jose, CA ($185,080), San Francisco, CA ($170,110), Seattle, WA ($164,740).
  • At the other end are San Juan, PR ($80,280), Oklahoma City, OK ($91,240), Pittsburgh, PA ($96,670): the top metro's median is 131% higher than the lowest.
  • 19 of the 50 metros listed below pay a median above the national figure.
  • About 262,440 people are employed in this occupation across the US.
  • Pay varies widely within the job: the 90th percentile earns 3 times the 10th.

Worked from BLS OEWS, May 2025. Not adjusted for the cost of living.

Skills

What employers look for in a machine learning engineer

The skills our machine learning engineer resume example leads with, written for US employers.

  • Python
  • PyTorch
  • TensorFlow
  • Model serving
  • Feature stores
  • MLflow
  • Kubeflow
  • Airflow
  • Docker
  • Kubernetes

See the full machine learning engineer resume example, with bullets and keywords.

Negotiating

Using these numbers

Below $85,660 puts you in the bottom quarter for machine learning engineers in the US. That is worth raising, with evidence of what you deliver.

The median, $120,230, is the middle of the market, not a ceiling. An offer at or near it is a fair starting point to negotiate from.

Asking for $158,880 or more puts you in the top quarter, so it needs a reason an employer will accept: a wider scope, a competing offer, or a skill that is hard to hire for.

Percentiles are not experience levels. They describe everyone doing the job, so a senior hire can sit at the median of a market full of senior people.

About the numbers

What these figures are

The US Bureau of Labor Statistics surveys employers for its Occupational Employment and Wage Statistics, and these figures are from the release dated May 2025. They cover wage and salary workers in Data Scientists, a category that is often broader than a single job title. Self-employed people are not included.

They are base pay: bonuses, equity and overtime are not included, and they are not adjusted for the cost of living.

Questions

Questions about machine learning engineer pay in the US

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