Pay by Role
United States · Salary comparison

Machine Learning Engineer vs Systems Administrator salary

In United States, a machine learning engineer earns about 88% more than a systems administrator $180,000 vs $95,800 per year.

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

Pays more
Technology
Machine Learning Engineer
$180,000/yr
Monthly
$15,000
Hourly
$87
Range
$107,100$269,100
10-yr outlook
+40%
Technology
Systems Administrator
$95,800/yr
Monthly
$8,000
Hourly
$46
Range
$66,500$131,600
10-yr outlook
+4%

Pay range, side by side

PercentileMachine Learning EngineerSystems Administrator
Entry (10th)$107,100$66,500
25th$143,600$81,100
Median$180,000$95,800
75th$224,600$113,700
Senior (90th)$269,100$131,600

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

More Technology comparisons

Frequently asked questions

Does a machine learning engineer or systems administrator earn more in United States?
A machine learning engineer earns more, at about $180,000 per year vs $95,800 for a systems administrator — roughly 88% ($84,200) more.
What is the salary range for these roles in United States?
A machine learning engineer typically earns $107,100–$269,100, while a systems administrator earns $66,500–$131,600 per year.
How much do these jobs pay per month in United States?
On a monthly basis before tax, a machine learning engineer averages about $15,000 and a systems administrator about $8,000.
How do entry-level salaries compare?
At the 10th percentile in United States, a machine learning engineer earns about $107,100 while a systems administrator earns about $66,500 per year.
How do senior-level salaries compare?
At the 90th percentile in United States, a machine learning engineer earns about $269,100 while a systems administrator earns about $131,600 per year.
Are machine learning engineer and systems administrator 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.