As of May 01, 2026, the average annual salary for Machine Learning Engineer in the US is $109,931, equivalent to $53 per hour, $2,114 weekly, or $9,161 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 the US vary widely, spanning from $93,118 to $127,795. Most professionals fall between the 25th percentile ($101,130) and 75th percentile ($119,282), while top earners (90th percentile) make $127,795 per year. This $18,152 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% above national averages due to demand from Fortune 63 companies and industry startups. Professionals are advised to focus on high-growth sectors like to offset market challenges.
