Senior Healthcare ML Engineer Salary.
Across 81 U.S. cities.
$198,000
national median salary
$155,000 to $258,000. Last updated April 2026.
Highest Paying
$284,000
San Jose, CA
Best Purchasing Power
$206,000
San Jose, CA
Lowest Paying
$155,000
Jackson, MS
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 Senior Healthcare ML Engineer salary in the United States is $198,000 in 2026, with the full range spanning $155,000 at the 25th percentile to $258,000 at the 75th. San Jose pays the most at $284,000, while San Jose offers the best purchasing power after cost-of-living adjustments. Compensation for Senior Healthcare ML Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack.
Senior Healthcare ML Engineer salary by city
Skills that increase Senior Healthcare ML Engineer pay
The skills below command measurable salary premiums for Senior Healthcare ML Engineers based on job posting data. Learning the top skill here could add $27,720 to your annual compensation.
≈ +$27,720 per year
≈ +$25,740 per year
≈ +$23,760 per year
≈ +$21,780 per year
≈ +$19,800 per year
≈ +$19,800 per year
≈ +$19,800 per year
≈ +$17,820 per year
What you should know
Compensation for Senior Healthcare 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 35% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector Senior Healthcare ML Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band.
Senior Healthcare 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. For Senior Healthcare ML Engineers specifically, the seniority anchor typically means 7 to 12 years of experience with demonstrated independent scope.
Total compensation for Senior Healthcare ML Engineers runs roughly $299K at median when factoring base + equity (35% of base annually) + bonus (12% 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 Senior Healthcare ML Engineers typically earn $184,000 (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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