GovTech ML Engineer Salary.
Across 81 U.S. cities.
$152,000
national median salary
$119,000 to $198,000. Last updated April 2026.
Highest Paying
$210,000
San Jose, CA
Best Purchasing Power
$159,000
Little Rock, AR
Lowest Paying
$122,000
Wichita, KS
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026. Baseline derived from BLS SOC 15-2051. Full methodology.
The average GovTech ML Engineer salary in the United States is $152,000 in 2026, with the full range spanning $119,000 at the 25th percentile to $198,000 at the 75th. San Jose pays the most at $210,000, while Little Rock offers the best purchasing power after cost-of-living adjustments. Compensation for GovTech ML Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack.
GovTech ML Engineer salary by city
Skills that increase GovTech ML Engineer pay
The skills below command measurable salary premiums for GovTech ML Engineers based on job posting data. Learning the top skill here could add $21,280 to your annual compensation.
≈ +$21,280 per year
≈ +$19,760 per year
≈ +$18,240 per year
≈ +$16,720 per year
≈ +$15,200 per year
≈ +$15,200 per year
≈ +$15,200 per year
≈ +$13,680 per year
What you should know
Compensation for GovTech ML Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Equity is a major component at roughly 25% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector GovTech ML Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band.
GovTech ML Engineers typically progress Junior → Mid → Senior → Staff → Principal over 8 to 12 years, with the Staff+ levels carrying significant technical scope and cross-team influence. The director/VP track diverges around year 8 for those who choose management; IC staff-plus roles keep building technical depth.
Total compensation for GovTech ML Engineers runs roughly $219K at median when factoring base + equity (25% of base annually) + bonus (15% of base). Equity is the single largest non-base component — candidates should model vesting schedules (typically 4-year with 1-year cliff) and compare grant values across offers carefully. At tech companies specifically, equity and sign-on are often the largest delta between offers — two roles with matching base can differ by $100K+ at total when equity is included.
Total compensation breakdown
Salary by company size
Remote salary adjustment
Remote GovTech ML Engineers typically earn $141,000 (7% less than on-site). This reflects location-adjusted pay policies at companies using geographic salary bands. Some companies pay flat national rates regardless of location.
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