As of April 01, 2026, the average annual salary for Machine Learning Engineer in District of Columbia is $121,717, equivalent to $59 per hour, $2,341 weekly, or $10,143 monthly. These figures, sourced from Salary.com’s real-time job posting scans, highlight competitive earning potential for Machine Learning Engineer in cities like Santa Clara, San Jose, and Fremont.
Annually Salaries for Machine Learning Engineer in District of Columbia vary widely, spanning from $103,102 to $141,442. Most professionals fall between the 25th percentile ($111,973) and 75th percentile ($132,042), while top earners (90th percentile) make $141,442 per year. This $20,069 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, District of Columbia Machine Learning Engineer often earn 10.7% higher than national averages due to demand from Fortune 63 companies. However, District of Columbia currently ranks 1 nationwide for Machine Learning Engineer job salary. Professionals are advised to focus on high-growth sectors like to offset market challenges.
