The median AI / ML Engineer salary in United States is $167K in 2026, with a typical range from $151K to $177K. Pay has moved +12.6% year-on-year. San Francisco Bay Area currently leads city pay at $200K. This is base salary for permanent employees. Contracting instead? See day rates for this role below.
What does An AI / ML Engineer do?
An AI / ML Engineer is responsible for building and deploying machine learning models into production systems, spanning both model development and the engineering needed to serve them reliably.
Day-to-day responsibilities
National Median Salary
$167K
per yearUnited States annual benchmark • 2026
Salary Range (P25 – P75)
Data quality & confidence
Confidence Score
98%
YoY Momentum
+12.6%
Median salary benchmark
$167K
annual - 2026
Typical salary range
$151K-$177K
25th-75th percentile
Year-on-year pay movement
+12.6%
from market research
Forward pay outlook
$188K
Forecasted market posture
Permanent salary benchmarks for AI / ML Engineer in United States, from the low end to the top of the range, based on published market compensation data.
Low
$125K
P25
$151K
Median
$167K
P75
$177K
High
$216K
After Federal Tax & FICA · single, standard payroll deductions
Gross/year
$151K
Take-home/year
$114,475
Per month
$9,540
Effective rate
24.2%
Gross/year
$167K
Take-home/year
$125,411
Per month
$10,451
Effective rate
24.9%
Gross/year
$177K
Take-home/year
$132,246
Per month
$11,020
Effective rate
25.3%
See the full band-by-band breakdown for AI / ML Engineer
Adjust for your actual salary, see each federal income tax and FICA (no state tax modelled) band, and get monthly and weekly figures.
3-day/week office schedule · typical US commute assumptions
Break-even remote salary
$142,900
minimum to match $167K hybrid
Annual commute impact
−$16,481
costs + time value lost
Hours commuting/year
144 hrs
at 60 min/day, 3 days/wk
See the full break-even analysis for AI / ML Engineer
Adjust commute costs, compare any two salaries, and find the exact remote salary you need.
Hiring outlook · remote rate · top employers
Hiring outlook
GrowingRemote / hybrid
58%
of roles offer remote or hybrid
Salary growth (YoY)
+12.6%
market is paying more
Full market demand breakdown for AI / ML Engineer
Hiring drivers, remote rate detail, full employer list, and demand FAQs for the US.
Contract day rates available for this role
Median $104/hour, see full breakdown, city rates, and take-home calculator
Contract break-even
What day rate beats a $167K AI / ML Engineer salary after tax?
Break-even day rate
$816/day
to match $167K permanent net
Permanent net take-home
$125,411/yr
$167K gross, 2026 federal + FICA rates
1099 sole proprietor, 220 days, self-employment tax, no state tax modelled. Net figures are estimates; use the calculators for exact results.
Market Demand & Outlook
Demand level
Very High
Based on hiring signals relative to similar roles in this market.
Top hiring locations
Career outlook
Strong upward salary momentum
AI / ML Engineer salaries are showing strong movement, with latest benchmark growth at +12.6%.
Seniority is the biggest single driver of AI / ML Engineer pay in United States. Entry-level roles start at $114K, rising 147% to $282K at lead or principal level.
Junior
$114K
$114K-$114K middle band
Mid-level
$165K
$165K-$165K middle band
Senior
$221K
$221K-$221K middle band
Principal/Lead
$282K
$282K-$282K middle band
Certain technical skills push AI / ML Engineer salaries in United States significantly above the $167K median. These are the most impactful skills to develop or highlight when negotiating.
PyTorch / TensorFlow
+18%
salary premium vs median
MLOps tooling (MLflow, Kubeflow)
+15%
salary premium vs median
Cloud ML platforms (SageMaker, Vertex AI)
+13%
salary premium vs median
AI / ML Engineer salary varies meaningfully by location. San Francisco Bay Area commands a +20% premium over the national benchmark ($200K), while Atlanta sits -16% at $141K. Location is worth factoring into any offer negotiation.
$141K
-16% vs national
$181K
+8% vs national
$150K
-10% vs national
$200K
+20% vs national
$175K
+5% vs national
$151K
-10% vs national
$169K
+1% vs national
$166K
-1% vs national
$185K
+11% vs national
$147K
-12% vs national
$174K
+4% vs national
$155K
-7% vs national
How does AI / ML Engineer pay compare to similar roles?
Explore United States salary intelligence
Market context for AI / ML Engineers in United States
US AI Engineer Salary vs 10 Other Global Markets (2026)
A senior AI/ML Engineer on the US's $210,000 benchmark nets roughly $156,292 federal-only, before any state tax. See how that federal baseline compares, market by market, to the UK, Singapore, Dubai, and 7 other live markets once each one's own tax system runs the same benchmark salary.
UK vs US Take-Home Pay 2026: What Your Salary Is Really Worth After the Move
At an equivalent £90,000/$120,600 (FX roughly £1 = $1.34), a UK salary nets £62,757 a year (69.7% retained) versus a US federal-only net of $93,672 (77.7% retained, before any state tax). The US baseline wins at every level checked here, but that gap shrinks or reverses fast once you add California or New York state tax. Here's the full comparison, done correctly.
No-State-Tax States vs California & New York: What $150,000 Really Nets in 2026
A $150,000 salary nets $113,791 federal-only in Texas, Florida, or Washington. Move that same salary to California and state tax plus SDI take another $12,292, dropping net to roughly $101,499. New York takes $8,282, netting about $105,509. Here's exactly why the 'no state income tax' states can be worth more take-home than a bigger sticker-price offer in a high-tax state.
AI / ML Engineers in United States earn a median salary of $167K in 2026, with a typical range from $151K at the 25th percentile to $177K at the 75th percentile. This benchmark reflects published market compensation data for annual pay across the United States market.
San Francisco Bay Area currently leads city pay at $200K, which is 20% above the national benchmark. City coverage for this role includes Atlanta, Seattle, Denver, San Francisco Bay Area, Boston, Austin, Los Angeles, San Diego, New York City, Chicago, Washington, DC, Washington DC, helping you compare local pay differences without needing separate city-role pages.
At experience level, entry roles start around $114K, senior roles sit near $221K, and lead-level roles reach about $282K. Demand is currently moderate for this role based on recent coverage and salary momentum signals.
The median AI / ML Engineer salary in United States is $167K in 2026. The typical range runs from $151K at the 25th percentile to $177K at the 75th percentile, based on published market compensation data.
AI / ML Engineer salaries have moved +12.6% year-on-year in United States.
AI / ML Engineer salaries vary across United States. San Francisco Bay Area leads at $200K (+20% vs the national benchmark), while Atlanta sits at $141K. Use the city breakdown above to compare all locations.
A AI / ML Engineer earning the median $167K gross in United States will take home a net amount after income tax and other deductions. Use the PayMetric Labs take-home calculator on this page for an exact breakdown by tax band.
Principal/Lead-level AI / ML Engineers in United States earn the most, with a median of $282K, compared to $114K at entry level. Seniority is the strongest single driver of pay in this role.
On a 3-day hybrid schedule with a typical US commute ($12/day travel, 60-minute round trip, daily meal premium, annual wardrobe costs), your true net income at $167K is approximately $108,930 per year, compared to $125,411 net without any commute. The commute costs $16,481 per year in direct expenses and lost time. A fully remote role paying $142,900 would leave you equally well off.
Assuming a 3-day hybrid schedule with typical commute costs, you would need a remote salary of at least $142,900 to match the true net value of a $167K hybrid AI / ML Engineer role in the US. For a 5-day fully in-office role, the break-even remote salary rises to $127,300, as the higher office frequency increases travel, meal, and time costs significantly.
On a 3-day hybrid schedule with a 60-minute round trip, a AI / ML Engineer in the US spends approximately 144 hours commuting per year, equivalent to 18 full working days. Valued at the implied hourly rate for a $167K salary ($87/hr), that time is worth $12,525 annually.
As more employers in the US reintroduce hybrid or full in-office mandates in 2026, the true value of a AI / ML Engineer salary depends increasingly on the number of required office days. At $167K, each additional day in the office costs roughly $5,327 per year in direct and time costs (moving from 3 to 5 days). Candidates evaluating offers should compare true net income rather than gross salary alone.
This benchmark is derived from verified market compensation data and is rated High Confidence. High Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.
An indicative year-over-year signal of +12.6% is available from the latest market research for this role. This figure is directional market research rather than a matched prior-year observation in our own dataset.
Research-reported year-over-year movement is an indicative 12.6% (not a matched prior-year observation).
Monthly briefing
One email a month covering salary movements, tax and rate changes (2026 federal + FICA, optional state tax), new calculators, and market intelligence in the US. Built for tech professionals, contractors, and hiring managers.
Join tech professionals in the US
No noise. Just the data that moves your decisions.
Free. No spam. Unsubscribe any time. GDPR-compliant.