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  1. Home/
  2. Salaries/
  3. AI Materials Scientist/
  4. Pittsburgh

AI Materials Scientist.

Pittsburgh.

$124,000

median salary, 11% below the national average

$93,000 to $159,000. Last updated April 2026.

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Data points to own the conversation.

The median AI Materials Scientist salary in Pittsburgh is $124,000, 11% below the national average. Entry level starts near $93,000. Experienced professionals push past $159,000. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. That spread is your negotiation window.

Salary range

25th Percentile

$93,000

per year

Median

$124,000

per year

75th Percentile

$159,000

per year

Where do you fall?

$93,000$159,000

Salary by experience

The gap between entry and lead level is typically $111,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$81,000

to $99,000

Mid (3-5 yrs)

$105,000

to $130,000

Senior (6-9 yrs)

$136,000

to $161,000

Lead (10+ yrs)

$155,000

to $192,000

Salary trend

+7% YoY
$95,000
2022
$101,000
2023
$108,000
2024
$116,000
2025
$124,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $57,000 to the total package.

Base

$124,000

Equity

$35,000

Bonus

$15,000

Signing

$7,000

Estimated total: $181,000

How Pittsburgh compares

Pittsburgh, PA

$124,000

Cost of living: 8% below average

National Average

$140,000

Pittsburgh is $16,000 below

AI Materials Scientist salary by city

AI Materials Scientist salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Francisco, CA$193,000$145,000 – $248,0001.35x$143,000
San Jose, CA$185,000$139,000 – $238,0001.38x$134,000
Arlington, VA$178,000$133,000 – $228,0001.22x$146,000
Boston, MA$176,000$132,000 – $226,0001.22x$144,000
Honolulu, HI$175,000$131,000 – $225,0001.30x$135,000
New York, NY$174,000$130,000 – $223,0001.28x$136,000
Seattle, WA$174,000$130,000 – $223,0001.24x$140,000
Washington DC, DC$173,000$130,000 – $223,0001.25x$138,000
Los Angeles, CA$170,000$128,000 – $219,0001.18x$144,000
Pittsburgh, PA$124,000$93,000 – $159,0000.92x$135,000

See all 83 cities for AI Materials Scientist →

Salary by role in Pittsburgh

Salary comparison by role in Pittsburgh
RoleMedianRange
Distinguished Engineer$310,000$235,000 – $394,000
Chief AI Officer$279,000$207,000 – $361,000
Chief Technology Officer$277,000$206,000 – $364,000
AI Data Quality Engineer$125,000$94,000 – $165,000
AI Materials Scientist$124,000$93,000 – $159,000
AR/VR Developer$124,000$93,000 – $163,000
Pharmacist$124,000$111,000 – $143,000
Conversational AI Developer$124,000$92,000 – $152,000

What you should know

If you are interviewing for AI Materials Scientist roles in Pittsburgh, here is what you are walking into. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Carnegie Mellon University feeds a strong talent pipeline into AI and robotics companies. The city's low cost of living combined with world class research institutions makes it a hidden gem for technology professionals. Compensation reflects the rare combination of materials science domain expertise and ML research capability. Scientists who can apply graph neural networks and generative models to accelerate materials discovery for batteries, semiconductors, or catalysts earn premiums. Publication record in both materials science and ML venues adds value.

Postdoc AI materials researchers start at $95,000 to $115,000. Mid-level scientists with deployed materials discovery systems reach $132,000 to $160,000. Senior scientists leading AI materials programs earn $168,000 to $205,000. Directors of computational materials at tech or energy companies can reach $225,000 to $280,000. In Pittsburgh, cost of living sits near the national average, so the numbers you see are roughly what you keep.

Base salary is not the full picture. Equity at materials AI companies adds $15,000 to $60,000 annually. Government lab positions offer strong benefits and stability. Bonuses of 10% to 15% are standard. Research budgets including compute and lab access are significant non-monetary benefits. And on the tax side: pennsylvania's flat 3.07% state tax is low, but Pittsburgh adds a local earned income tax of about 3%. Combined with the school district tax, local taxes require attention in negotiations. When someone quotes you $124,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight robotics or AI specialization. Pittsburgh employers tied to CMU's research ecosystem pay nationally competitive salaries for candidates with advanced technical skills. The range for AI Materials Scientists in Pittsburgh runs from $93,000 to $159,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology

Interactive

Is your offer competitive?

Enter your AI Materials Scientist offer to see where you stand in Pittsburgh.

$

25th

$93,000

Median

$124,000

75th

$159,000

Considering a related role?

  • A Embedded Systems Engineer in Pittsburgh earns $123,000 (1% less)
  • The highest-paying role in Pittsburgh is Distinguished Engineer at $310,000

Common questions.

Graph neural networks are widely used for predicting molecular and crystal properties from structure. Generative models (variational autoencoders, diffusion models) design novel materials with target properties. Bayesian optimization guides experimental campaigns efficiently. Active learning reduces the number of experiments needed to find optimal materials. Transfer learning from large materials databases bootstraps models for new applications.

Both fields apply similar ML techniques to molecular design. Materials science often deals with periodic structures (crystals) rather than individual molecules. The property prediction targets differ: mechanical strength, conductivity, and thermal stability versus binding affinity and toxicity. Materials datasets tend to be smaller. Both fields face the challenge of validating computational predictions experimentally.

Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Carnegie Mellon University feeds a strong talent pipeline into AI and robotics companies. For AI Materials Scientists specifically, the median salary of $124,000 reflects that demand.

AI Materials Scientist compensation in Pittsburgh has trended upward as demand outpaces supply. The 2026 range of $93,000 to $159,000 reflects a market that rewards specialization. Compensation reflects the rare combination of materials science domain expertise and ML research capability.

Equity at materials AI companies adds $15,000 to $60,000 annually. Government lab positions offer strong benefits and stability. Bonuses of 10% to 15% are standard. Research budgets including compute and lab access are significant non-monetary benefits. In Pittsburgh's market, the base range of $93,000 to $159,000 is just the starting point for negotiation.

AI Materials Scientist salary in other cities

Austin$147,000
Atlanta$143,000
Anchorage$155,000
Albuquerque$123,000
Arlington$178,000
Albany$134,000

Other salaries in Pittsburgh

AI Engineer$156,000
AI Product Manager$155,000
AI Research Scientist$188,000
AI Safety Engineer$172,000

Related

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"AI Materials Scientist Salary in Pittsburgh, PA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-materials-scientist/pittsburgh

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