MLOps Engineer.
San Jose.
$187,000
median salary, 41% above the national average
$139,000 to $245,000. Last updated August 2026.
Get the job.
Data points to own the conversation.
San Jose is 38% more expensive than the national average. For MLOps Engineers, that shakes out to a median of $187,000, with the full range spanning $139,000 to $245,000. Experience with ML pipeline orchestration (Kubeflow, MLflow, Vertex AI), model monitoring in production, and infrastructure automation are the key salary levers. Know the range before you walk in. 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 MLOps 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 MLOps 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 $168,000. 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)
$159,000
to $196,000
Senior (6-9 yrs)
$206,000
to $243,000
Lead (10+ yrs)
$234,000
to $290,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $47,000 to the total package.
Base
$187,000
Equity
$26,000
Bonus
$17,000
Signing
$4,000
Estimated total: $234,000
How San Jose compares.
San Jose, CA
$187,000
Cost of living: 38% above average
National Average
$133,000
San Jose is $54,000 above
MLOps Engineer salary by city.
Salary by role in San Jose.
What you should know.
The MLOps Engineer 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. Experience with ML pipeline orchestration (Kubeflow, MLflow, Vertex AI), model monitoring in production, and infrastructure automation are the key salary levers. Engineers who can reduce model deployment time from weeks to hours earn premiums. Understanding both the ML lifecycle and cloud infrastructure deeply is what separates mid level from senior compensation.
Junior MLOps engineers start at $105,000 to $135,000, reaching mid level at $140,000 to $180,000 in two to three years. Senior MLOps engineers earn $180,000 to $240,000. Staff level ML platform engineers at top companies can exceed $300,000 in total compensation, with a path into ML infrastructure leadership. 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 companies adds $20,000 to $90,000+ annually. Bonuses of 10 to 20% are typical. On call compensation is common since MLOps engineers maintain production ML systems. Benefits frequently include cloud certification sponsorship, training budgets, and flexible work arrangements. 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 $187,000, 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 MLOps Engineers in San Jose runs from $139,000 to $245,000. 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?
- A Senior Project Manager in San Jose earns $188,000 (1% more)
- The highest-paying role in San Jose is CTO at $402,000
- See all ai operations roles tracked in Orbyt Intelligence
Common questions.
MLOps Engineer salary in other cities.
Other salaries in San Jose.
Related salary pages
Jump to nearby roles and cities most relevant to MLOps Engineers in San Jose.
Related tools.
Do you work as a mlops engineer in San Jose?
Your individual figure is never published. Submissions appear only as aggregate percentiles, and nothing is shown for a role and city until at least five people have reported. It is stored against your account, which is what keeps the dataset clean.
Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
"MLOps Engineer Salary in San Jose, CA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/mlops-engineer/san-jose
Want this data on your site? Embed the salary widget. One script tag, free forever.
Related tools