Machine Learning Engineer Salary in Washington

The average machine learning engineer salary in Washington is $198,000 per year (estimate). This works out to approximately $95.19 per hour based on a standard 2,080-hour work year.

Washington's average machine learning engineer salary of $198,000 is above the national average of $158,000 by 40,000 (25.3%). Washington is one of the higher-paying states for this occupation.

Machine Learning Engineer salaries in Washington are influenced by cost of living, local demand for workers, industry concentration, years of experience, education level, employer size, and unionization rates. Metro areas within Washington may pay significantly more than rural areas.

Based on the annual salary of $198,000, the approximate hourly rate for a machine learning engineer in Washington is $95.19 per hour (assuming 2,080 hours per year). The national average hourly rate is $75.96.

In these estimates, the top paying states for Computer and Information Research Scientists are: California ($212,000), Washington ($198,000), New York ($186,000), Massachusetts ($182,000), Virginia ($180,000).

State figures on this page are estimates for comparison and planning. They are not official BLS state-level values. For official numbers, check the BLS Occupational Employment and Wage Statistics tables.