The median Deep Learning Scientist salary in United States is $184K in 2026, with a typical range from $170K to $193K. Pay has moved +13.4% year-on-year. San Francisco Bay Area currently leads city pay at $216K. This is base salary for permanent employees. Contracting instead? See day rates for this role below.
What does A Deep Learning Scientist do?
A Deep Learning Scientist is responsible for researching, designing, and training novel deep learning architectures for computer vision, NLP, or multimodal applications.
Day-to-day responsibilities
National Median Salary
$184K
per yearUnited States annual benchmark • 2026
Salary Range (P25 – P75)
Data quality & confidence
Confidence Score
81%
YoY Momentum
+13.4%
Median salary benchmark
$184K
annual - 2026
Typical salary range
$170K-$193K
25th-75th percentile
Year-on-year pay movement
+13.4%
from market research
Forward pay outlook
$208K
Forecasted market posture
Permanent salary benchmarks for Deep Learning Scientist in United States, from the low end to the top of the range, based on published market compensation data.
Low
$152K
P25
$170K
Median
$184K
P75
$193K
High
$232K
After Federal Tax & FICA · single, standard payroll deductions
Gross/year
$170K
Take-home/year
$127,461
Per month
$10,622
Effective rate
25.0%
Gross/year
$184K
Take-home/year
$137,030
Per month
$11,419
Effective rate
25.5%
Gross/year
$193K
Take-home/year
$143,709
Per month
$11,976
Effective rate
25.5%
See the full band-by-band breakdown for Deep Learning Scientist
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
$158,100
minimum to match $184K hybrid
Annual commute impact
−$17,756
costs + time value lost
Hours commuting/year
144 hrs
at 60 min/day, 3 days/wk
See the full break-even analysis for Deep Learning Scientist
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
40%
of roles offer remote or hybrid
Salary growth (YoY)
+13.4%
market is paying more
Full market demand breakdown for Deep Learning Scientist
Hiring drivers, remote rate detail, full employer list, and demand FAQs for the US.
Contract day rates available for this role
Median $111/hour, see full breakdown, city rates, and take-home calculator
Contract break-even
What day rate beats a $184K Deep Learning Scientist salary after tax?
Break-even day rate
$899/day
to match $184K permanent net
Permanent net take-home
$137,030/yr
$184K 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
Low
Based on hiring signals relative to similar roles in this market.
Top hiring locations
Career outlook
Strong upward salary momentum
Deep Learning Scientist salaries are showing strong movement, with latest benchmark growth at +13.4%.
Seniority is the biggest single driver of Deep Learning Scientist pay in United States. Entry-level roles start at $129K, rising 142% to $312K at lead or principal level.
Junior
$129K
$129K-$129K middle band
Mid-level
$178K
$178K-$178K middle band
Senior
$240K
$240K-$240K middle band
Principal/Lead
$312K
$312K-$312K middle band
Certain technical skills push Deep Learning Scientist salaries in United States significantly above the $184K median. These are the most impactful skills to develop or highlight when negotiating.
PyTorch
+22%
salary premium vs median
Model architecture design
+19%
salary premium vs median
Distributed training
+17%
salary premium vs median
Research publication / experimentation
+14%
salary premium vs median
Deep Learning Scientist salary varies meaningfully by location. San Francisco Bay Area commands a +17% premium over the national benchmark ($216K), while Atlanta sits -14% at $158K. Location is worth factoring into any offer negotiation.
$171K
-7% vs national
$165K
-10% vs national
$167K
-9% vs national
$186K
+1% vs national
$203K
+10% vs national
$192K
+4% vs national
$199K
+8% vs national
$181K
-2% vs national
$158K
-14% vs national
$216K
+17% vs national
$191K
+4% vs national
$172K
-7% vs national
How does Deep Learning Scientist pay compare to similar roles?
Explore United States salary intelligence
Market context for Deep Learning Scientists in United States
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.
Federal Tax + FICA Explained: How a US Paycheck Actually Loses Money (2026)
On a $120,000 W-2 salary, $17,570 goes to federal income tax and $9,180 goes to FICA (Social Security + Medicare), before a single dollar of state tax. Here's exactly how the 2026 federal brackets, the $16,100 standard deduction, and FICA's separate wage-base and 0.9% Additional Medicare Tax rules combine on your actual paycheck.
Deep Learning Scientists in United States earn a median salary of $184K in 2026, with a typical range from $170K at the 25th percentile to $193K 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 $216K, which is 17% above the national benchmark. City coverage for this role includes Austin, Chicago, Denver, Los Angeles, New York City, Boston, Seattle, San Diego, Atlanta, San Francisco Bay Area, Washington, DC, Washington DC, helping you compare local pay differences without needing separate city-role pages.
At experience level, entry roles start around $129K, senior roles sit near $240K, and lead-level roles reach about $312K. Demand is currently moderate for this role based on recent coverage and salary momentum signals.
The median Deep Learning Scientist salary in United States is $184K in 2026. The typical range runs from $170K at the 25th percentile to $193K at the 75th percentile, based on published market compensation data.
Deep Learning Scientist salaries have moved +13.4% year-on-year in United States.
Deep Learning Scientist salaries vary across United States. San Francisco Bay Area leads at $216K (+17% vs the national benchmark), while Atlanta sits at $158K. Use the city breakdown above to compare all locations.
A Deep Learning Scientist earning the median $184K 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 Deep Learning Scientists in United States earn the most, with a median of $312K, compared to $129K 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 $184K is approximately $119,274 per year, compared to $137,030 net without any commute. The commute costs $17,756 per year in direct expenses and lost time. A fully remote role paying $158,100 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 $158,100 to match the true net value of a $184K hybrid Deep Learning Scientist role in the US. For a 5-day fully in-office role, the break-even remote salary rises to $141,200, 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 Deep Learning Scientist in the US spends approximately 144 hours commuting per year, equivalent to 18 full working days. Valued at the implied hourly rate for a $184K salary ($96/hr), that time is worth $13,800 annually.
As more employers in the US reintroduce hybrid or full in-office mandates in 2026, the true value of a Deep Learning Scientist salary depends increasingly on the number of required office days. At $184K, each additional day in the office costs roughly $5,752 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 +13.4% 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 13.4% (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.