As of May 01, 2026, the average annual salary for Machine Learning Engineer in Washington, DC is $121,056, equivalent to $58 per hour, $2,328 weekly, or $10,088 monthly. These figures, sourced from Salary.com’s real-time job posting scans, highlight competitive earning potential for Machine Learning Engineer in cities like San Jose, Santa Clara, and San Francisco.
Annually Salaries for Machine Learning Engineer in Washington, DC vary widely, spanning from $102,541 to $140,728. Most professionals fall between the 25th percentile ($111,364) and 75th percentile ($131,353), while top earners (90th percentile) make $140,728 per year. This $19,989 pay gap underscores opportunities for salary growth through certifications, specialized skills like Analysis or Software Development, or targeting high-paying regions like District of Columbia or California.
Location and experience significantly influence earnings. For example, Washington Machine Learning Engineer often earn 0.5% higher than national averages. However, Washington currently ranks 79 statewide for Machine Learning Engineer job salary. Professionals are advised to focus on high-growth sectors like to offset market challenges.