Tech

AI / ML Engineer Salary 2026 — Take-Home Pay by State

AI/ML engineers design, train, and deploy machine learning systems — large language models, recommender systems, computer vision, reinforcement learning. The role separated from generic software engineering during the 2022-2025 frontier-model cycle. Compensation structure is base + bonus + RSU (and pre-IPO PPU at OpenAI/Anthropic/Scale), with FAANG mid-senior MLE total comp $300K-$700K and frontier-lab researcher comp reaching $1M+ at staff level. Top niches: foundation-model research (OpenAI / Anthropic / Google DeepMind / Meta FAIR), applied ML at FAANG, autonomous driving (Tesla AI / Waymo / Cruise), quant ML (Citadel / Two Sigma / Jane Street / D.E. Shaw).

National Median

$165,000

Best State (Net)

$152,391

Washington

Take-Home TX

$123,780

No state tax

Job Growth

BLS projects 23%

Key Facts — AI / ML Engineer 2026

BLS median: ~$165K base for ML engineers (2024 estimate, role classification still in flux); FAANG MLE TC $325K-$700K with RSU; frontier lab staff $900K-$2M

RSU vesting at FAANG typically 4-year graded (25/25/25/25 annual) — Microsoft 2024+ moved to 1/3/3/3-year cliff for newer hires

Mega Backdoor Roth (MBR) at FAANG = $46.5K/year of after-tax 401(k) → in-plan Roth conversion (uniquely valuable at AI/ML salary tier)

Pre-IPO PPU (Profit Participation Units) at OpenAI / Anthropic / Scale = secondary-market liquid equity, taxed as ordinary income on tender

Section 1202 QSBS (Qualified Small Business Stock) = $10M federal tax-free gain on 5-year hold of pre-IPO C-corp stock at <$50M aggregate gross assets

83(b) election within 30 days of restricted stock grant — locks tax basis at grant value, critical for early-stage equity

AMT (Alternative Minimum Tax) hits ISO exercises at private startups — exercise-and-hold creates AMT phantom income before liquidity

Quant ML carry interest 3-year holding rule (TCJA) — short-term gains taxed as ordinary, long-term LTCG only after 3-year hold

Salary by Experience Level

Junior MLE / New Grad PhD (year 1-2)

$165,000

gross/year

Est. take-home (TX):

$123,780

BS+exp or MS or PhD entry · base only, +30-60% with RSU

Mid-Level MLE (3-6 years)

$200,000

gross/year

Est. take-home (TX):

$148,663

Base only · FAANG TC $325K-$450K with RSU

Senior MLE / Senior Applied Scientist (7-12 years)

$265,000

gross/year

Est. take-home (TX):

$193,263

Base only · FAANG TC $450K-$650K · frontier lab $500K-$900K

Staff / Principal MLE / Research Scientist (12+ years)

$360,000

gross/year

Est. take-home (TX):

$253,822

Base only · FAANG TC $650K-$1.2M · frontier lab staff $900K-$2M+

Specialties & Salary Premiums

SpecialtyEst. SalaryPremium
Frontier Lab Researcher (OpenAI / Anthropic / DeepMind)$363,000+120%
Quant ML (Citadel / Two Sigma / Jane Street)$412,500+150%
Autonomous Driving ML (Tesla AI / Waymo)$247,500+50%
FAANG Applied ML (Google / Meta / Apple / Amazon AGI / Microsoft)$231,000+40%
AI Infrastructure / GPU Systems (NVIDIA / AMD / Cerebras)$264,000+60%
NLP / Computer Vision Specialist$214,500+30%

Best States for AI / ML Engineers — Real Take-Home Pay

Ranked by estimated take-home pay (single filer, no additional deductions). The highest gross salary doesn't always mean the most money in your pocket.

AI / ML Engineer Salary by State — All 50 States

Take-home estimates for a single filer with no additional deductions. Click any state for the full breakdown.

StateGross SalaryEst. Take-Home
1Washington
$205,000$152,391
$215,000$141,246
$200,000$135,991
$195,000$135,936
5Texas
$175,000$130,615
$175,000$123,575
$175,000$120,423
$170,000$118,285
9Florida
$155,000$116,945
10New Hampshire
$155,000$116,945
$165,000$116,655
$165,000$116,355
$165,000$116,280
$160,000$115,911
$160,000$113,765
16Nevada
$150,000$113,527
17Tennessee
$150,000$113,527
$160,000$113,475
$155,000$113,445
$160,000$112,402
$165,000$108,930
$150,000$108,802
$150,000$108,127
$150,000$107,790
25Alaska
$140,000$106,692
$160,000$106,080
$145,000$103,675
$145,000$103,220
$145,000$102,960
$140,000$102,755
$140,000$101,567
32South Dakota
$130,000$99,857
33Wyoming
$130,000$99,857
$140,000$99,442
$140,000$99,392
$138,000$99,175
$140,000$98,692
$135,000$98,475
$145,000$98,410
$138,000$98,314
$132,000$98,299
$135,000$98,175
$135,000$97,875
$140,000$97,755
$135,000$97,575
$135,000$96,195
$138,000$95,977
$130,000$95,257
$130,000$94,797
$130,000$94,682

Job Market Outlook

BLS projects 23% growth through 2032 for computer/info-research scientists (which AI/ML engineers fall under) — among the fastest-growing tech roles. Frontier-lab demand uniquely strong — OpenAI / Anthropic / xAI / Mistral / DeepMind hiring at premium tiers $300K-$700K base alone for senior MLE, plus equity 1.5x-3x base. The role separated from generic software engineering during the 2022-2025 frontier-model cycle; BLS may eventually issue a separate SOC code (currently bundled under 15-1221 Computer and Information Research Scientists or 15-1252 Software Developers depending on classification).

Maximize Your Take-Home

401(k) — $24,500 max

Reduces taxable income dollar-for-dollar

HSA — $4,400 single

Triple tax advantage — deductible, grows tax-free, tax-free withdrawals

FSA — $3,300 max

Medical expenses with pre-tax dollars

State consideration

Moving to TX, FL, WA can save $5,000–$15,000/year in taxes

Calculate Your Exact Take-Home as a AI / ML Engineer

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Frequently Asked Questions

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AI / ML Engineer Salary by State — Detailed Pages