Pay by Role
United States · Salary comparison

DevOps Engineer vs Machine Learning Engineer salary

In United States, a machine learning engineer earns about 15% more than a devops engineer $180,000 vs $157,000 per year.

Showing amounts in USD (USD default). FX as of Mon, 13 Jul 2026 00:02:31 +0000. Convert currencies

Technology
DevOps Engineer
$157,000/yr
Monthly
$13,100
Hourly
$75
Range
$100,500$226,100
10-yr outlook
+21%
Pays more
Technology
Machine Learning Engineer
$180,000/yr
Monthly
$15,000
Hourly
$87
Range
$107,100$269,100
10-yr outlook
+40%

Pay range, side by side

PercentileDevOps EngineerMachine Learning Engineer
Entry (10th)$100,500$107,100
25th$128,700$143,600
Median$157,000$180,000
75th$191,500$224,600
Senior (90th)$226,100$269,100

National United States figures in USD. Individual pay varies with experience, employer, and location.

More Technology comparisons

Frequently asked questions

Does a devops engineer or machine learning engineer earn more in United States?
A machine learning engineer earns more, at about $180,000 per year vs $157,000 for a devops engineer — roughly 15% ($23,000) more.
What is the salary range for these roles in United States?
A devops engineer typically earns $100,500–$226,100, while a machine learning engineer earns $107,100–$269,100 per year.
How much do these jobs pay per month in United States?
On a monthly basis before tax, a devops engineer averages about $13,100 and a machine learning engineer about $15,000.
How do entry-level salaries compare?
At the 10th percentile in United States, a devops engineer earns about $100,500 while a machine learning engineer earns about $107,100 per year.
How do senior-level salaries compare?
At the 90th percentile in United States, a devops engineer earns about $226,100 while a machine learning engineer earns about $269,100 per year.
Are devops engineer and machine learning engineer similar careers?
Both roles sit in the Technology category on Pay by Role, which is why we compare them head-to-head. Day-to-day work still differs — review each job page for skills and outlook.