AI Salaries by City: Where the Pay Actually Goes Furthest

You see a job offer for $200,000 in San Francisco and another for $150,000 in Austin. The first number looks better. But after you pay rent, taxes, and a carton of eggs, which one leaves you with more in the bank? The answer isn't obvious, and chasing the biggest headline number is the most common mistake engineers make when choosing a city.

I've watched friends move to New York for a "dream salary" only to realize their one-bedroom in Brooklyn costs $3,500 a month. I've also seen engineers take a 20% pay cut to move to Denver and end up saving more. Raw salary data is useful, but it's only half the story. This guide breaks down AI engineer salaries across major US hubs and reframes them around what matters: your actual take-home purchasing power.

The Headline Numbers: Who Pays the Most?

Let's start with the unadjusted figures. These are the salaries you see on job boards and in negotiation conversations. I've focused on data scientist and machine learning engineer roles, since they cover the widest range of AI work.

• San Francisco: Average base salary $172,345, median $173,000 (Built In data). Senior roles hit $197,982; top end near $278,000.
• New York City: Average $146,875, median around $147,000 (Talent.com). Experienced workers top out near $181,000.
• Seattle: Salaries comparable to NYC, with data scientist averages around $145,000–$155,000. Senior roles often exceed $180,000.
• Boston: Average $150,000–$160,000 for mid-level; senior data scientists report $185,000 (self-reported data).
• Los Angeles: Anecdotal reports of $200,000 for mid-level data scientists, but averages sit around $130,000–$150,000.
• Austin, TX: Average $130,000–$145,000 for data scientists. No state income tax helps.
• Denver, CO: Average $120,000–$135,000. Growing tech scene, lower cost of living.
• Chicago, IL: Average $112,000–$125,000. Self-reported data shows $120,000 for 3–5 years experience.
• Atlanta, GA: Around $125,000 for data scientists with a few years of experience.

San Francisco is the clear winner in raw pay. But that gap shrinks fast when you run the numbers on actual living costs.

Cost of Living: Where Your Dollar Shrinks

Cost of living is the great leveler. The biggest expense for any engineer is housing. Let's look at how far that $173,000 SF salary goes compared to a $130,000 Austin salary.

Housing Costs

In San Francisco, the median rent for a one-bedroom apartment is about $3,200. In Austin, it's around $1,500. That $20,000 difference per year in rent alone wipes out most of the salary gap. If you buy a home, the gap widens: median home price in SF is over $1.4 million; in Austin it's about $550,000. Your mortgage payment in SF could easily be $7,000 per month, compared to $3,500 in Austin.

Taxes

California has a progressive income tax that tops out at 13.3%. New York state and city combined can reach over 12%. Texas has no state income tax. Washington has no income tax either (Seattle). Colorado has a flat rate of 4.4%. On a $170,000 salary, state income tax alone can cost you $15,000–$20,000 in California or New York, versus $0 in Texas or Washington.

Other Everyday Costs

Groceries, utilities, and transportation are also pricier in coastal hubs. A gallon of milk might cost $4.50 in SF versus $3.00 in Chicago. Eating out is easily 30% more expensive. These small differences add up to thousands over a year.

Adjusted Take-Home: The Real Comparison

After accounting for taxes and basic living expenses (rent, food, transport, utilities), the take-home pay gap collapses. Let's run two realistic scenarios for a mid-level data scientist.

Scenario A: San Francisco — $173,000 base salary. After federal (~24%), state (~9.3% effective), and FICA taxes, take-home is roughly $115,000. Rent at $3,200/month = $38,400/year. Remaining for everything else: $76,600.

Scenario B: Austin — $130,000 base salary. No state income tax. After federal (~22% effective) and FICA, take-home is roughly $95,000. Rent at $1,500/month = $18,000/year. Remaining: $77,000.

The difference: Austin leaves you with more disposable income. And that's before you factor in homeownership, which is far more attainable. This isn't a fluke — it holds up across many cities.

Comparing Other Hubs

• New York City: Average $146,875. After federal, state, and city taxes (effective ~30%), take-home ~$102,000. Rent $2,800/month = $33,600. Remaining: $68,400.
• Seattle: Average $145,000. No state income tax. After federal (~22%) and FICA, take-home ~$105,000. Rent $2,000/month = $24,000. Remaining: $81,000.
• Chicago: Average $120,000. After federal (~20%) and state (4.95%), take-home ~$88,000. Rent $1,600/month = $19,200. Remaining: $68,800.
• Denver: Average $125,000. After federal (~20%) and state (4.4%), take-home ~$92,000. Rent $1,700/month = $20,400. Remaining: $71,600.
• Atlanta: Average $125,000. After federal and state (~5.75%), take-home ~$90,000. Rent $1,400/month = $16,800. Remaining: $73,200.

Seattle and Austin come out ahead in disposable income, despite lower headline salaries. Chicago and Atlanta give you a decent lifestyle on moderate pay. New York and San Francisco leave you with less, unless you're in the top percentile of earners (senior staff or director level).

When Higher Pay Actually Wins

There are exceptions. If you're a senior data scientist pulling in $250,000+ in SF, the cost-of-living gap narrows. At that level, housing is a smaller percentage of income, and you can afford a nicer place. Also, SF and NYC offer unmatched networking density, more AI-focused startups, and faster career growth opportunities. If you're early-career and optimizing for learning and connections, the premium might be worth it.

But for mid-career engineers who want to save aggressively, buy a house, or build a runway for entrepreneurship, secondary hubs are hard to beat. Austin's tech scene is exploding — Tesla, Apple, Google have major offices there. Denver has a thriving startup ecosystem. Chicago has deep corporate AI demand in finance and logistics.

The Remote Wildcard

Remote work from a lower-cost city while earning a top-market salary is the holy grail. And it's still possible, though harder to get than in 2021. Many companies now adjust pay based on your location. Fully remote roles often peg pay to a national average, which might be around $150,000 for a senior role. If you're living in Kansas City, that's a great deal. But if you're living in San Francisco, it hurts.

The trick: negotiate a "remote-first" salary from a company that doesn't adjust heavily. Some smaller startups and fully remote organizations pay a single rate regardless of location. If you can land one of those while living in a low-cost area, you win the game.

What Should You Do?

Don't just look at the number on the offer letter. Do this calculation:

1. 1Take the base salary. Estimate total compensation including bonus and equity (if vested, not promised).
2. 2Subtract estimated taxes using a paycheck calculator — include federal, state, local, and FICA.
3. 3Estimate rent or mortgage payments for an equivalent quality of housing.
4. 4Subtract other major costs: groceries, transportation, utilities, student loans if relevant.
5. 5Compare the remainder across cities. That's your lifestyle budget.

If the difference is less than $10,000 per year, other factors matter more: career growth, weather, family, personal connections. If one city leaves you with $30,000 more each year, that's $2,500 extra per month — that's a vacation, a down payment on a rental property, or serious investment capital.

“I moved from SF to Austin in 2022. My salary dropped 15%, but my savings rate tripled. I went from barely putting away $1,000 a month to nearly $3,500. The math was simple: cheaper rent and no state tax.”

— Senior MLE, anonymous

Honest Caveats

Cost-of-living calculators are useful, but they can't predict everything. Your lifestyle matters more than averages. If you eat out constantly, SF will burn cash fast. If you cook at home and bike to work, Austin is even cheaper. Also, job hopping: higher salary hubs often have more job openings, which can accelerate your comp faster than staying put. And quality of life is personal — some people hate the heat in Austin or the cold in Chicago.

Finally, salary data is noisy. The numbers I used are aggregates from multiple sources (Built In, Talent.com, self-reported data on platforms). Your mileage will vary based on your experience, company size, and negotiation skills. But the relative differences between cities are consistent.

Next Step

Before you accept that offer, spend an hour with a cost-of-living calculator (like NerdWallet's or Bankrate's). Plug in your actual offer — not a generic average. Include rent estimates from Zillow or Apartments.com. See what's left. If the numbers are close, choose the place you'll actually enjoy living. If they're far apart, choose the one that gets you closer to your financial goals faster.

And if you're still early in your career, don't be afraid to take the lower pay in a cheap city for a few years — your future self will thank you when you have a down payment saved up.