How much does an AI engineer make in the US?
There is no single honest number — the major salary databases sample different slices of the market, and they disagree by more than $100K. The spread itself is the most useful fact: the broad US market pays AI engineers roughly $100K–$185K in base salary, while big tech pays ~$200K–$450K in total compensation and frontier labs pay $850K+ at the median. Here's what each source reports and why the numbers differ:
| Source | Reported figure | What it measures |
|---|---|---|
| ZipRecruiter (Jul 2026) | $101,752 average | Base salary across all US employers — includes non-tech companies, so it runs lowest |
| Glassdoor (2026) | $144,427 average · $115,909–$182,456 typical range | Self-reported base pay across the broad market |
| Built In (2026) | $184,757 average · ~$211,243 with additional comp | Tech-company-focused salary data |
| Levels.fyi (2026) | ~$244K median total compensation | Verified offers, skews to big tech; includes stock and bonus |
| BLS (May 2024) | $133,080 median (software developers) | Closest official occupation — no separate 'AI engineer' category yet |
One structural note: the Bureau of Labor Statistics doesn't track "AI engineer" as its own occupation yet. The closest official categories are software developers (median $133,080, May 2024) and computer and information research scientists (median $140,910) — both projected to grow 15–20% from 2024 to 2034, much faster than the average occupation. The AI premium on top of that baseline is real: PwC's 2025 Global AI Jobs Barometer measured a 56% wage premium for workers with AI skills, up from 25% the year before.
AI engineer salary by experience level
Experience is the single biggest in-company driver of pay, but the gap between the broad market and big tech widens at every rung. The two columns below are deliberately separate — averaging them produces a number nobody actually earns.
| Level | Broad US market | Big tech (total comp) |
|---|---|---|
| Entry / junior (0–2 yrs) | $69,362 average (ZipRecruiter); ~$134K starting for AI/ML roles (Robert Half) | ~$199K total comp — Google L3 ML engineer (Levels.fyi) |
| Mid-level (3–5 yrs) | $170,750 midpoint for AI/ML engineers (Robert Half) | ~$302K median total comp — Google ML engineer (Levels.fyi) |
| Senior (5–8 yrs) | $126,557 average, broad market (ZipRecruiter); $193,250 high end (Robert Half) | ~$457K median total comp — Meta ML engineer (Levels.fyi) |
| Staff / principal (8+ yrs) | Rare outside tech hubs; usually negotiated | $660K–$743K total comp — Meta E6 / Google L7 (Levels.fyi) |
Concrete example of the widening gap: an entry-level engineer at a non-tech company might start near ZipRecruiter's $69K average, while their classmate who lands Google L3 starts around $199K total comp — a ~3x difference on day one that compounds, because equity refreshers and level jumps stack at big tech in a way annual raises elsewhere don't.
AI engineer salary by company
All figures below are from Levels.fyi (2026), which aggregates verified offers. The pattern is consistent: frontier labs pay 2–3x big-tech medians, and nearly all of the premium is equity — OpenAI grants PPUs (profit participation units) and Anthropic grants private stock, both illiquid until a tender offer or liquidity event.
| Company | Total comp range | Median | Note |
|---|---|---|---|
| OpenAI | $253K (L2) – $1.27M (L6) | ~$860K | Software engineer; PPU equity is most of the package |
| Anthropic | $367K (entry) – $1.25M (staff) | ~$870K | Software engineer; equity-heavy frontier-lab comp |
| Meta | $187K (E3) – $660K (E6) | ~$457K | ML engineer track |
| Apple | $171K – $528K+ | ~$381K | ML engineer; stock grants drive the top of band |
| $199K (L3) – $743K (L7) | ~$302K | ML engineer track | |
| Amazon | $177K (L4) – $409K (L6) | ~$265K | ML engineer track |
| Microsoft | $184K – $502K+ (AI engineer) | ~$219K (ML engineer) | Separate AI-engineer and ML-engineer titles |
Treat these as point-in-time, self-reported bands rather than guarantees — frontier-lab numbers in particular move fast and depend on paper valuations. If the customer-facing side of lab work appeals to you, the forward-deployed AI engineer role is one of the more accessible doors into frontier-lab compensation.
AI engineer salary by location
San Francisco and New York pay roughly 20–50% above the national average, but the most interesting 2026 shift is remote: US remote AI engineer pay ($194K median) now sits within a few percent of San Francisco, per Recruiting from Scratch's analysis of 1.9 million job postings. Companies hiring outside the US (India, Eastern Europe, Latin America) typically pay a fraction of these figures — the table below is US-market data.
| Location | Reported pay (2026) | Source |
|---|---|---|
| San Francisco Bay Area | $213K median base ($192K–$250K, 25th–75th pct) | Recruiting from Scratch, 1.9M job postings (2026) |
| Seattle | ~$202K average | Indeed (2026) |
| New York City | $179,591 average ($140K–$233K typical range) | Glassdoor (2026) |
| Remote (US) | $194K median ($155K–$225K, 25th–75th pct) | Recruiting from Scratch (2026) |
| US national average | $184,757 average | Built In (2026) |
AI engineer salary per month and per hour
People often search monthly and hourly equivalents, so here they are, straight from ZipRecruiter's broad-market data (2026):
- • Average AI engineer: $101,752/year ≈ $8,479/month ≈ $48.92/hour
- • Entry level: $69,362/year ≈ $5,780/month ≈ $33.35/hour
- • Senior: $126,557/year ≈ $10,546/month ≈ $60.84/hour
- • Big-tech reference: a $244K median total-comp package (Levels.fyi) works out to roughly $20,300/month
These are gross (pre-tax) figures, and the hourly conversion assumes a standard 2,080-hour year. Freelance/contract AI engineering rates are typically higher per hour than these salaried equivalents to compensate for the lack of benefits and equity.
AI engineer vs software engineer vs ML engineer salary
The three titles overlap heavily in job listings, but the market currently prices them differently. Using each role's most comparable broad-market figure:
- • Software engineer (baseline): $133,080 median — BLS software developers, May 2024
- • ML engineer: ~$128K–$186K base in 2026, with big-tech medians of $265K–$457K total comp (Levels.fyi)
- • AI engineer: $144,427 Glassdoor average base; $170,750 Robert Half AI/ML midpoint; ~$244K Levels.fyi median total comp
In practice, "AI engineer" in 2026 usually means building on foundation models — RAG systems, agents, evals, LLM integrations — while "ML engineer" leans toward training and serving models. The AI title carries a premium right now because demand is newer than the supply of people with production LLM experience. Robert Half's 2026 guide puts AI/ML starting-salary growth at 4.1% — the highest of any tech specialty it tracks — and PwC's 56% AI-skills wage premium is the widest ever measured in its barometer. Whether the gap between the titles persists is an open question; the skills overlap far more than the pay does.
How to increase your AI engineer salary
The data above implies a clear playbook. Ordered by expected impact:
- Change employer tier, not just employer. The broad market → big tech → frontier lab jumps are worth ~$100K–$400K each at the same experience level — no raise negotiation compares.
- Build production LLM evidence. Shipped RAG pipelines, agent systems, and eval suites are what 2026 postings screen for; a portfolio of real deployments beats certificates. The operational side — monitoring, CI/CD, safe rollouts — is covered in our MLOps best practices guide.
- Negotiate equity, not base. At the top of the market, equity is 55–70% of the package (Pin's 2026 compensation benchmarks); base bands are rigid, grant sizes are not.
- Anchor to a high-paying market. Remote US roles now pay within ~2% of San Francisco — you can capture hub-level pay without hub-level rent.
- Level up deliberately. The entry→mid→senior→staff ladder roughly adds $100K–$250K in total comp per rung at big tech; ask what the next level requires and build against it.
If you're earlier in the journey and the skills list is the bottleneck, start with our AI engineering roadmap — it sequences the fundamentals (Python, math, ML, MLOps, LLMs/agents) that the salaries in this post are ultimately paying for.
Frequently Asked Questions
What is the entry-level AI engineer salary?
It depends heavily on where you land. Across all US employers, ZipRecruiter puts the entry-level average at $69,362 a year (about $5,780/month). At tech companies in major hubs, entry-level base offers typically run $115K–$135K, and at big tech the first rung is much higher — a Google L3 ML engineer averages roughly $199K in total compensation per Levels.fyi.
How much does an AI engineer make per month?
Using ZipRecruiter's broad-market averages: about $8,479/month for the average AI engineer, $5,780/month at entry level, and $10,546/month for senior engineers. At big tech, monthly figures are far higher — a $244K median total comp package (Levels.fyi) works out to roughly $20,000+/month before taxes.
Is AI engineering a good career? Is it high paying?
Yes, on both current pay and trajectory. AI engineers out-earn the general software baseline (BLS software developers median: $133,080), PwC's Global AI Jobs Barometer found a 56% wage premium for AI skills, and the BLS projects 15–20% growth for adjacent occupations from 2024 to 2034 — much faster than average. The main caveat: the highest packages are concentrated at a small number of companies and cities.
Does an AI engineer need a degree?
No hard requirement. Many postings list a CS or ML degree as preferred, but companies increasingly hire on demonstrated ability to ship AI systems to production — real projects, RAG pipelines, eval suites, deployed agents. A degree helps most for research-leaning roles at frontier labs. If you're building that evidence from scratch, a structured path like an AI engineering roadmap plus one or two real production projects is the practical route in.
Which company pays AI engineers the most?
The frontier labs. Levels.fyi puts median software-engineer total compensation at roughly $860K at OpenAI and $870K at Anthropic — two to three times big-tech medians — with most of the premium in equity. Among big tech, Meta's ML engineer median (~$457K) leads Apple (~$381K), Google (~$302K), Amazon (~$265K), and Microsoft (~$219K).
Sources
- • Glassdoor — AI Engineer salaries, United States
- • ZipRecruiter — AI Engineer salary (annual, monthly, hourly)
- • Built In — 2026 AI Engineer salary in the US
- • Levels.fyi — Machine Learning Engineer salaries
- • Levels.fyi — OpenAI Software Engineer salaries
- • Levels.fyi — Anthropic Software Engineer salaries
- • US Bureau of Labor Statistics — Software Developers, Occupational Outlook Handbook
- • US Bureau of Labor Statistics — Computer and Information Research Scientists
- • Robert Half 2026 Salary Guide — AI/ML Engineer
- • PwC — Global AI Jobs Barometer (56% AI wage premium)
- • Recruiting from Scratch — AI engineer pay from 1.9M job postings (SF and remote)
- • Pin — AI Compensation Benchmarks 2026