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  1. Home/
  2. Salaries/
  3. Graph Neural Network Researcher/
  4. Austin

Graph Neural Network Researcher.

Austin.

$188,000

median salary, at the national average

$140,000 to $248,000. Last updated April 2026.

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Data points to own the conversation.

Graph Neural Network Researcher pay in Austin ranges from $140,000 to $248,000 in 2026. The median is $188,000, right at the national average. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. Every dollar in that range is negotiable if you come prepared.

Salary range

25th Percentile

$140,000

per year

Median

$188,000

per year

75th Percentile

$248,000

per year

Where do you fall?

$140,000$248,000

Salary by experience

The gap between entry and lead level is typically $169,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$122,000

to $150,000

Mid (3-5 yrs)

$160,000

to $197,000

Senior (6-9 yrs)

$207,000

to $244,000

Lead (10+ yrs)

$235,000

to $291,000

Salary trend

+3% YoY
$167,000
2022
$172,000
2023
$177,000
2024
$183,000
2025
$188,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $39,000 to the total package.

Base

$188,000

Equity

$21,000

Bonus

$14,000

Signing

$4,000

Estimated total: $227,000

How Austin compares

Austin, TX

$188,000

Cost of living: 3% above average

National Average

$188,000

Same as local rate

Graph Neural Network Researcher salary by city

Graph Neural Network Researcher salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$270,000$201,000 – $356,0001.38x$196,000
San Francisco, CA$259,000$193,000 – $341,0001.35x$192,000
Honolulu, HI$254,000$189,000 – $335,0001.30x$195,000
Washington DC, DC$244,000$182,000 – $322,0001.25x$195,000
Seattle, WA$238,000$177,000 – $314,0001.24x$192,000
New York, NY$231,000$172,000 – $305,0001.28x$180,000
Newark, NJ$228,000$170,000 – $301,0001.18x$193,000
Los Angeles, CA$226,000$169,000 – $298,0001.18x$192,000
Boston, MA$225,000$167,000 – $297,0001.22x$184,000
Austin, TX$188,000$140,000 – $248,0001.03x$183,000

See all 30 cities for Graph Neural Network Researcher →

Salary by role in Austin

Salary comparison by role in Austin
RoleMedianRange
Chief AI Officer$326,000$242,000 – $420,000
Chief Algorithm Officer$297,000$223,000 – $387,000
Chief Data & AI Officer$295,000$220,000 – $385,000
Data Architect (AI/ML)$189,000$143,000 – $246,000
Language Model Fine-Tuning Specialist$189,000$144,000 – $248,000
Graph Neural Network Researcher$188,000$140,000 – $248,000
AI Infrastructure Engineer$188,000$143,000 – $242,000
Machine Learning Researcher$188,000$140,000 – $248,000

What you should know

If you are interviewing for Graph Neural Network Researcher roles in Austin, here is what you are walking into. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. GNN researchers are valued in drug discovery, social network analysis, and fraud detection, with pharma and fintech paying the highest premiums. Experience with molecular property prediction or large-scale graph learning at production scale adds 10 to 20% to offers. Publication at venues like NeurIPS or KDD further strengthens negotiating position.

Junior GNN researchers start at $140,000 to $168,000 after completing a PhD. Senior researchers specializing in graph learning earn $190,000 to $250,000. Staff scientists and research leads reach $260,000 to $350,000, while principal scientists at major drug discovery firms can earn $370,000 to $450,000. In Austin, 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. Biotech and pharma companies frequently offer signing bonuses of $25,000 to $60,000 alongside equity or stock options. Tech firms provide RSU grants worth 25 to 45% of base salary, with annual refreshers tied to performance ratings. And on the tax side: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $188,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for Graph Neural Network Researchers in Austin runs from $140,000 to $248,000. 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 Graph Neural Network Researcher offer to see where you stand in Austin.

$

25th

$140,000

Median

$188,000

75th

$248,000

Considering a related role?

  • A Data Architect (AI/ML) in Austin earns $189,000 (1% more)
  • The highest-paying role in Austin is Chief AI Officer at $326,000

Common questions.

Pharmaceutical companies investing in AI-driven drug discovery have increased GNN researcher compensation by 15 to 25% since 2024. Roles focused on molecular generation and property prediction are especially competitive, with some biotech startups offering significant equity stakes.

Yes, applied GNN roles exist in fraud detection at financial firms, recommendation systems at social media companies, and supply chain optimization. These industry roles often pay 10 to 15% above pure research positions and prioritize engineering skills alongside theoretical knowledge.

The national median for a Graph Neural Network Researcher is $182,524. In Austin, cost of living adjustments push the median to $188,000. That premium reflects Austin's higher housing, transportation, and everyday costs.

Biotech and pharma companies frequently offer signing bonuses of $25,000 to $60,000 alongside equity or stock options. Tech firms provide RSU grants worth 25 to 45% of base salary, with annual refreshers tied to performance ratings. In Austin's market, the base range of $140,000 to $248,000 is just the starting point for negotiation.

In 2026, the average Graph Neural Network Researcher salary in Austin, TX is $188,000. The 25th percentile sits at $140,000 and the 75th percentile reaches $248,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for Graph Neural Network Researchers. Some Austin employers offer location adjusted pay, while others maintain local rates to attract in office talent. In Austin's moderate cost market, remote and local salaries are converging. The $140,000 to $248,000 range reflects both arrangements.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Biotech and pharma companies frequently offer signing bonuses of $25,000 to $60,000 alongside equity or stock options. In Austin's market, these extras can add $47,000 or more on top of the base salary.

Graph Neural Network Researcher salary in other cities

Los Angeles$226,000
Little Rock$156,000
Louisville$170,000
Las Vegas$188,000
Miami$219,000
Minneapolis$197,000

Other salaries in Austin

Accountant$71,000
Applied AI Researcher$198,000
Agentic Orchestrator$212,000
Autonomous Systems Engineer$207,000

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"Graph Neural Network Researcher Salary in Austin, TX." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/graph-neural-network-researcher/austin

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