Quantitative AI Researcher.
San Jose.
$265,000
median salary, 33% above the national average
$199,000 to $344,000. Last updated April 2026.
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Data points to own the conversation.
A Quantitative AI Researcher in San Jose earns a median of $265,000 in 2026. That is 33% above the national average. The range runs from $199,000 to $344,000, and where you land depends on your experience, your skills, and how well you negotiate. Compensation reflects the direct revenue impact of research.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $239,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$172,000
to $212,000
Mid (3-5 yrs)
$225,000
to $278,000
Senior (6-9 yrs)
$292,000
to $345,000
Lead (10+ yrs)
$331,000
to $411,000
Salary trend
+6% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $66,000 to the total package.
Base
$265,000
Equity
$37,000
Bonus
$24,000
Signing
$5,000
Estimated total: $331,000
How San Jose compares
San Jose, CA
$265,000
Cost of living: 38% above average
National Average
$200,000
San Jose is $65,000 above
Quantitative AI Researcher salary by city
Salary by role in San Jose
What you should know
The Quantitative AI Researcher landscape in San Jose is not what most salary sites will tell you. San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. The city consistently ranks among the highest paying metros in the country for technology roles. Competition for talent is fierce, with employers offering aggressive compensation packages including equity, signing bonuses, and premium benefits to attract and retain engineers. Compensation reflects the direct revenue impact of research. Researchers who develop novel AI signals with demonstrated predictive power earn the highest salaries. Publication record matters less than Sharpe ratios in the trading context. Expertise in time series modeling, reinforcement learning for portfolio optimization, and alternative data processing drives premiums.
Junior quant researchers start at $140,000 to $170,000 base with significant bonus potential. Mid-level researchers with deployed strategies reach $190,000 to $230,000 base. Senior researchers managing research teams earn $240,000 to $300,000+ base. Portfolio managers with AI expertise have uncapped earning potential. In San Jose, those numbers run higher. The cost of living here is 38% above average, and employers adjust to compete.
Base salary is not the full picture. Performance bonuses at top quantitative firms regularly equal 100% to 300% of base salary. Total compensation of $400,000 to $1,000,000+ is achievable at firms like Two Sigma, DE Shaw, and Citadel. Deferred compensation and profit sharing structures are common. Signing bonuses of $50,000 to $150,000 attract top talent. And on the tax side: california's top 13.3% state rate applies fully here. While gross salaries in San Jose are among the nation's highest, the tax burden means net pay may not stretch as far as expected. When someone quotes you $265,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Always negotiate equity alongside base salary. San Jose employers expect candidates to evaluate total compensation including RSUs, and leaving equity on the table is leaving money behind. The range for Quantitative AI Researchers in San Jose runs from $199,000 to $344,000. 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
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Common questions.
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