ML Infrastructure Engineer Salary.
Across 81 U.S. cities.
$133,000
national median salary
$99,000 to $174,000. Last updated July 2026.
Highest Paying
$185,000
San Francisco, CA
Best Purchasing Power
$139,000
Charleston, SC
Lowest Paying
$105,000
Wichita, KS
Salary data sourced from Bureau of Labor Statistics Occupational Employment and Wage Statistics, H-1B Labor Condition Applications (DOL), state pay-transparency job postings, and community submissions. Most ranges are anchored to BLS OES occupation wage percentiles and placed by seniority level (entry near the 25th, mid at the median, senior at the 75th); a minority of emerging roles retain a modeled estimate where BLS has no matching series. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated July 2026. Baseline derived from BLS SOC 15-1252. Full methodology.
The average ML Infrastructure Engineer salary in the United States is $133,000 in 2026, with the full range spanning $99,000 at the 25th percentile to $174,000 at the 75th. San Francisco pays the most at $185,000, while Charleston offers the best purchasing power after cost-of-living adjustments. Compensation for ML Infrastructure Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack.
ML Infrastructure Engineer salary by city.
Skills that increase ML Infrastructure Engineer pay.
The skills below command measurable salary premiums for ML Infrastructure Engineers based on job posting data. Learning the top skill here could add $18,620 to your annual compensation.
≈ +$18,620 per year
≈ +$17,290 per year
≈ +$15,960 per year
≈ +$14,630 per year
≈ +$13,300 per year
≈ +$13,300 per year
≈ +$13,300 per year
≈ +$11,970 per year
What you should know.
Compensation for ML Infrastructure 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 ML Infrastructure Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band.
ML Infrastructure 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 ML Infrastructure Engineers runs roughly $230K 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 ML Infrastructure Engineers typically earn $124,000 (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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Common questions about ML Infrastructure Engineer pay.
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