Is San Francisco a good city for Graph Neural Network Researchers?

San Francisco offers competitive compensation for Graph Neural Network Researchers. The median salary is $254,000.

What is the entry level Graph Neural Network Researcher salary in San Francisco?

Entry level Graph Neural Network Researcher positions in San Francisco start near $189,000. Candidates with strong backgrounds negotiate toward $254,000.

Graph Neural Network Researcher.

Q: What is the cost of living adjusted Graph Neural Network Researcher salary in San Francisco?

San Francisco's COL multiplier is 1.35x. The median Graph Neural Network Researcher salary of $254,000 here equals about $188,148 in an average cost market.

San Francisco.

$254,000

median salary, 35% above the national average

$189,000 to $335,000. Updated for 2026.

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The numbers.

Everything you need to negotiate with confidence.

A Graph Neural Network Researcher in San Francisco earns a median of $254,000 in 2026. That is 35% above the national average. The range runs from $189,000 to $335,000, and where you land depends on your experience, your skills, and how well you negotiate. GNN researchers are valued in drug discovery, social network analysis, and fraud detection, with pharma and fintech paying the highest premiums.

Salary range

25th Percentile

$189,000

per year

Median

$254,000

per year

75th Percentile

$335,000

per year

Tap to place your salary

$189,000$335,000

How San Francisco compares

San Francisco, CA

$254,000

Cost of living: 35% above average

National Average

$188,000

San Francisco is $66,000 above

What you should know

The Graph Neural Network Researcher landscape in San Francisco is not what most salary sites will tell you. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. 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 San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.

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: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $254,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for Graph Neural Network Researchers in San Francisco runs from $189,000 to $335,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in San Francisco

Software & SaaSArtificial IntelligenceFintechBiotechVenture Capital

Negotiating in San Francisco

Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here.

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.

San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. For Graph Neural Network Researchers specifically, the median salary of $254,000 reflects that demand.

San Francisco's cost of living multiplier is 1.35x the national average. The adjusted median Graph Neural Network Researcher salary of $254,000 accounts for this. In practice, a Graph Neural Network Researcher earning $254,000 in San Francisco has roughly the same purchasing power as someone earning $188,148 in an average cost market.

Entry level Graph Neural Network Researcher positions in San Francisco typically start near $189,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $254,000. Junior GNN researchers start at $140,000 to $168,000 after completing a PhD.