Machine Learning Engineer Salary in District of Columbia (2026)
District of Columbia · 52.0% above national average · Very High Demand
| City | Avg Salary | vs National | Demand |
|---|---|---|---|
| Washington | $341,939 | +52.0% | Very High |
District of Columbia is home to a very strong job market for Machine Learning Engineers. The state's key industries — Government, Finance, Technology — generate significant demand for skilled professionals. At $224,960 per year, District of Columbia's Machine Learning Engineer salaries are 52.0% higher than the national average.
The cost of living in District of Columbia (index: 1.52) justifies the higher pay scale. Entry-level professionals in District of Columbia can expect to earn $147,060–$188,100, while experienced Machine Learning Engineers can command $280,440–$314,640.
Looking ahead, the Machine Learning Engineer profession in District of Columbia is projected to grow at 9.2% annually. Major employers are actively hiring, and the state's investment in Government continues to drive new opportunities for qualified candidates.
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What is the average Machine Learning Engineer salary in District of Columbia?The average Machine Learning Engineer salary in District of Columbia is $224,960 per year in 2026, which is 52.0% above the national average of $148,000.
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What city in District of Columbia pays Machine Learning Engineers the most?Major metro areas typically pay Machine Learning Engineers the highest wages in District of Columbia due to higher costs of living and competitive job markets.
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Is District of Columbia a good state for Machine Learning Engineers?District of Columbia has a very strong job market with major industries in Government, Finance, Technology. This makes it one of the better states for Machine Learning Engineer employment.
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How does District of Columbia Machine Learning Engineer salary compare to the US average?At $224,960/year, District of Columbia Machine Learning Engineer salaries are 52.0% higher than the national average of $148,000/year.