Machine Learning Salary
$25.5K - $31K
5% of jobs
$32.9K is the 25th percentile. Wages below this are outliers.
$31K - $36.5K
56% of jobs
$36.5K - $42K
10% of jobs
$43.3K is the 75th percentile. Wages above this are outliers.
$42K - $47.5K
17% of jobs
$47.5K - $53K
4% of jobs
$53K - $58.5K
3% of jobs
$58.5K - $64K
3% of jobs
$64K - $69.5K
1% of jobs
$69.5K - $75K
0% of jobs
$75K - $80.5K
0% of jobs
$80.5K - $86K
0% of jobs
$25.5K
$33.5K
$87.5K
$42,584
/year
$20.47
/hour
Machine Learning Salary Comparison by Location
Nationwide
United States
$42,584
Columbus
Ohio
$41,131
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How much does a Machine Learning make?
As of May 30, 2026, the average annual pay for a Machine Learning in the United States is $42,584 a year.
Just in case you need a simple salary calculator, that works out to be approximately $20.47 an hour. This is the equivalent of $818/week or $3,548/month.
While ZipRecruiter is seeing annual salaries as high as $87,500 and as low as $25,500, the majority of Machine Learning salaries currently range between $32,500 (25th percentile) to $46,000 (75th percentile) with top earners (90th percentile) making $59,500 annually across the United States. The average pay range for a Machine Learning varies greatly (by as much as 13500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Machine Learning in your area makes on average $41,131 per year, or $1,453 (3.412%) less than the national average annual salary of $42,584. Ohio ranks number 43 out of 50 states nationwide for Machine Learning salaries.
To estimate the most accurate annual salary range for Machine Learning jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Machine Learning on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Machine Learning Jobs
We've identified 10 cities where the typical salary for a Machine Learning job is above the national average. Topping the list is Kentville, NS, , with Carcross, YT, and Haines Junction, YT, close behind in the second and third positions. Haines Junction, YT, beats the national average by $129,339 (303.7%), and Kentville, NS, furthers that trend with another $131,134 (307.9%) above the $42,584 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Machine Learning appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 4% between Kentville, NS, and Kelowna, BC, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Machine Learning role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Kentville, NS | $173,718 | $83.52 |
Carcross, YT | $172,512 | $82.94 |
Haines Junction, YT | $171,923 | $82.66 |
Duncan, BC | $170,758 | $82.10 |
Oak Bay, BC | $170,447 | $81.95 |
Victoria, BC | $169,725 | $81.60 |
Alberton, PE | $168,141 | $80.84 |
Courtenay, BC | $167,689 | $80.62 |
Kensington, NY | $166,285 | $79.94 |
Kelowna, BC | $166,237 | $79.92 |
What are Top 5 Best Paying Related Machine Learning Jobs in the U.S.
We found a few related jobs that pay more than jobs in the Machine Learning category.
For example Data Science Architect jobs pay as much as $102,972 (241.8%) more than the average Machine Learning salary of $42,584. If you're qualified, finding work as a Data Science Architect may help you make more money than that of the average Machine Learning position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Data Science Architect | $145,556 | $69.98 |
Amazon Machine Learning Scientist | $134,515 | $64.67 |
Full Time Machine Learning Engineer | $128,769 | $61.91 |
Machine Learning Finance | $92,631 | $44.53 |
Ai Machine Learning | $42,584 | $20.47 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
