Machine Learning Engineer.
San Jose.
$185,000
median salary, 39% above the national average
$138,000 to $243,000. Last updated August 2026.
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Data points to own the conversation.
Orbyt estimates Machine Learning Engineer pay in San Jose at $185,000, within a range of $138,000 to $243,000. That is 39% above the national average. San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.
Salary range.
Where do you fall?
Orbyt estimate for Machine Learning Engineer in San Jose, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $213,110 for Software Developers (SOC 15-1252) in the San Jose-Sunnyvale-Santa Clara, CA metropolitan area, based on 87,350 employed workers (May 2025 release).
10th percentile
$138,420
25th percentile
$173,650
Median
$213,110
75th percentile
$226,080
90th percentile
$289,150
Workers surveyed
87,350
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than Machine Learning Engineer specifically. The San Jose range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.
View the BLS source for SOC 15-1252Salary by experience.
The gap between entry and lead level is typically $167,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$120,000
to $148,000
Mid (3-5 yrs)
$157,000
to $194,000
Senior (6-9 yrs)
$204,000
to $241,000
Lead (10+ yrs)
$231,000
to $287,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $82,000 to the total package.
Base
$185,000
Equity
$50,000
Bonus
$21,000
Signing
$11,000
Estimated total: $267,000
Machine Learning Engineer salary by company.
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings (DOL).
How San Jose compares.
San Jose, CA
$185,000
Cost of living: 38% above average
National Average
$133,000
San Jose is $52,000 above
Machine Learning Engineer salary by city.
Salary by role in San Jose.
What you should know.
If you are interviewing for Machine Learning Engineer roles in San Jose, here is what you are walking into. 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. Production ML experience, deep learning framework fluency, and ability to optimize models for scale are the strongest differentiators. Engineers who bridge research and production by deploying models that serve millions of predictions per day command significant premiums. Specialization in recommendation systems, search ranking, or fraud detection adds further value.
Entry level ML engineers start at $110,000 to $140,000, reaching mid level at $145,000 to $190,000 in two to three years. Senior ML engineers earn $190,000 to $260,000. Staff ML engineers at top companies exceed $350,000 in total compensation, with research oriented roles paying even more. 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. Equity at AI focused companies adds $30,000 to $150,000+ annually. Bonuses of 10 to 20% are standard. Signing bonuses of $25,000 to $75,000 are common at well funded firms. Benefits frequently include GPU compute budgets, conference sponsorship, and research publication support. 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 $185,000, 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 Machine Learning Engineers in San Jose runs from $138,000 to $243,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology
Considering a related role?
- An NLP Applications Engineer in San Jose earns $184,000 (1% less)
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Common questions.
Machine Learning Engineer salary in other cities.
Other salaries in San Jose.
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Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
"Machine Learning Engineer Salary in San Jose, CA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/machine-learning-engineer/san-jose
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