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Machine Learning salaries in United States
Machine Learning professionals in United States earn $150.8–227.2K per year on average, based on 58 jobs. Machine Learning roles in United States pay 10% above the board-wide average of $140.3–203.4K for Machine Learning jobs on Tech Jobs. Pay ranges from $127.7–202.5K for Mid-level roles up to $192–317K at the Director level.
Average salary range
$150.8–227.2K
Based on 58 jobs · 10% more than the average salary on Tech Jobs
25th percentile
$120.4K
Average
$189K
75th percentile
$260K
Machine Learning salaries by seniority in United States
Machine Learning salaries in United States range from $127.7–202.5K for Mid-level roles to $192–317K for Director positions.
| Seniority | Avg. salary | Jobs | vs Avg. on Tech Jobs |
|---|---|---|---|
| Mid-level | $127.7–202.5K | 20 | -4% |
| Senior | $165.1–237.3K | 33 | +17% |
| Director | $192–317K | 3 | +48% |
Top paying titles in United States
Highest paying job titles in United States, ranked by average salary.
Software Engineering
Avg. $143.5–222.3K · 85 jobs
Software Engineer
Avg. $147.8–227.6K · 57 jobs
Backend Engineering
Avg. $162.9–252.8K · 46 jobs
Cloud Engineering
Avg. $129.6–184.6K · 37 jobs
Machine Learning Engineer
Avg. $158.2–238.4K · 36 jobs
AI Engineer
Avg. $160.8–245.7K · 31 jobs
Other top paying skills in United States
Highest paying skills in United States beyond Machine Learning, ranked by average salary.
Python
Avg. $144.2–218.2K · 216 jobs
AWS
Avg. $144.5–215.6K · 120 jobs
Kubernetes
Avg. $144.3–215.2K · 85 jobs
SQL
Avg. $132.4–195K · 76 jobs
CI/CD
Avg. $140.7–238.4K · 76 jobs
Docker
Avg. $140.6–207.4K · 68 jobs
Other locations for Machine Learning
Compare Machine Learning salaries in other locations.
California
Avg. $162.2–245K · 22 jobs
New York
Avg. $166.7–259.7K · 9 jobs
San Francisco, CA
Avg. $161.7–229.3K · 8 jobs
New York, NY
Avg. $182–293.8K · 6 jobs
Massachusetts
Avg. $135.9–191K · 5 jobs
Machine Learning salary FAQs for United States
All salary figures are converted to annual equivalents in USD. Averages are based on published jobs with salary data and filtered for statistical outliers.