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

AI Materials Scientist.

Richmond.

$140,000

median salary, at the national average

$105,000 to $180,000. Last updated April 2026.

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Data points to own the conversation.

The median AI Materials Scientist salary in Richmond is $140,000, right at the national average. Entry level starts near $105,000. Experienced professionals push past $180,000. Richmond combines a strong government and defense sector with growing technology and financial services industries. That spread is your negotiation window.

Salary range

25th Percentile

$105,000

per year

Median

$140,000

per year

75th Percentile

$180,000

per year

Where do you fall?

$105,000$180,000

Salary by experience

The gap between entry and lead level is typically $126,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$91,000

to $112,000

Mid (3-5 yrs)

$119,000

to $147,000

Senior (6-9 yrs)

$154,000

to $182,000

Lead (10+ yrs)

$175,000

to $217,000

Salary trend

+7% YoY
$107,000
2022
$114,000
2023
$122,000
2024
$131,000
2025
$140,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $64,000 to the total package.

Base

$140,000

Equity

$39,000

Bonus

$17,000

Signing

$8,000

Estimated total: $204,000

How Richmond compares

Richmond, VA

$140,000

Cost of living: 1% above average

National Average

$140,000

Same as local rate

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
Richmond, VA$140,000$105,000 – $180,0001.01x$139,000

See all 83 cities for AI Materials Scientist →

Salary by role in Richmond

Salary comparison by role in Richmond
RoleMedianRange
Distinguished Engineer$323,000$245,000 – $411,000
Chief AI Officer$316,000$235,000 – $408,000
VP of AI$305,000$231,000 – $399,000
Prompt Engineer$141,000$101,000 – $192,000
AI Localization Engineer$141,000$107,000 – $186,000
AI Materials Scientist$140,000$105,000 – $180,000
Synthetic Media Specialist$140,000$104,000 – $185,000
AI Logistics Engineer$140,000$104,000 – $179,000

What you should know

If you are interviewing for AI Materials Scientist roles in Richmond, here is what you are walking into. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. 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 Richmond, 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: virginia's top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $140,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for AI Materials Scientists in Richmond runs from $105,000 to $180,000. 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 Richmond.

$

25th

$105,000

Median

$140,000

75th

$180,000

Considering a related role?

  • A Prompt Engineer in Richmond earns $141,000 (1% more)
  • The highest-paying role in Richmond is Distinguished Engineer at $323,000

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.

Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. For AI Materials Scientists specifically, the median salary of $140,000 reflects that demand.

AI Materials Scientist compensation in Richmond has trended upward as demand outpaces supply. The 2026 range of $105,000 to $180,000 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 Richmond's market, the base range of $105,000 to $180,000 is just the starting point for negotiation.

AI Materials Scientist salary in other cities

Fargo$117,000
Houston$136,000
Hartford$151,000
Honolulu$175,000
Indianapolis$125,000
Jackson$113,000

Other salaries in Richmond

AI Engineer$179,000
AI Product Manager$170,000
AI Research Scientist$208,000
AI Safety Engineer$185,000

Related

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Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Materials Scientist Salary in Richmond, VA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-materials-scientist/richmond

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