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  1. Home/
  2. Salaries/
  3. MLOps Engineer/
  4. San Jose

MLOps Engineer.

San Jose.

$225,000

median salary, 41% above the national average

$169,000 to $296,000. Last updated April 2026.

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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 $225,000, with the full range spanning $169,000 to $296,000. 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.

Salary range

25th Percentile

$169,000

per year

Median

$225,000

per year

75th Percentile

$296,000

per year

Where do you fall?

$169,000$296,000

Salary by experience

The gap between entry and lead level is typically $203,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$146,000

to $180,000

Mid (3-5 yrs)

$191,000

to $236,000

Senior (6-9 yrs)

$248,000

to $293,000

Lead (10+ yrs)

$281,000

to $349,000

Salary trend

+3% YoY
$200,000
2022
$206,000
2023
$212,000
2024
$218,000
2025
$225,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $57,000 to the total package.

Base

$225,000

Equity

$32,000

Bonus

$20,000

Signing

$5,000

Estimated total: $282,000

How San Jose compares

San Jose, CA

$225,000

Cost of living: 38% above average

National Average

$160,000

San Jose is $65,000 above

MLOps Engineer salary by city

MLOps Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$225,000$169,000 – $296,0001.38x$163,000
Honolulu, HI$212,000$159,000 – $278,0001.30x$163,000
New York, NY$211,000$158,000 – $277,0001.28x$165,000
San Francisco, CA$207,000$156,000 – $272,0001.35x$153,000
Boston, MA$203,000$152,000 – $266,0001.22x$166,000
Washington DC, DC$196,000$147,000 – $257,0001.25x$157,000
Arlington, VA$195,000$146,000 – $256,0001.22x$160,000
Boulder, CO$191,000$144,000 – $251,0001.15x$166,000
Seattle, WA$190,000$143,000 – $250,0001.24x$153,000
San Diego, CA$189,000$142,000 – $248,0001.17x$162,000

See all 81 cities for MLOps Engineer →

Salary by role in San Jose

Salary comparison by role in San Jose
RoleMedianRange
Technical Fellow$502,000$392,000 – $653,000
Principal Quantitative Researcher$483,000$377,000 – $628,000
Principal AI Research Scientist$464,000$362,000 – $603,000
MLOps Engineer$225,000$169,000 – $296,000
AI Capacity Planner$225,000$171,000 – $296,000
Model Vulnerability Analyst$225,000$169,000 – $296,000
Image Recognition Specialist$225,000$170,000 – $294,000
Recommendation Systems Engineer$225,000$176,000 – $293,000

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 $225,000, 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 $169,000 to $296,000. 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 MLOps Engineer offer to see where you stand in San Jose.

$

25th

$169,000

Median

$225,000

75th

$296,000

Considering a related role?

  • A Senior Firmware Engineer in San Jose earns $224,000 (0% more)
  • The highest-paying role in San Jose is Technical Fellow at $502,000
  • See all ai operations roles tracked in Orbyt Intelligence

Common questions.

MLOps engineers typically earn 15 to 25% more than traditional DevOps engineers at similar experience levels. The premium reflects the specialized ML lifecycle knowledge required, including model versioning, experiment tracking, feature stores, and model monitoring. The combination of infrastructure and data science skills is rare and valuable.

Hands on experience with Kubernetes and at least one ML platform (MLflow, Kubeflow, or SageMaker) has the strongest salary impact. Cloud certifications (AWS ML Specialty, GCP ML Engineer) add 5 to 10%. Building automated retraining pipelines and model monitoring systems that prevent degradation demonstrates senior level capability.

In 2026, the average MLOps Engineer salary in San Jose, CA is $225,000. The 25th percentile sits at $169,000 and the 75th percentile reaches $296,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Entry level MLOps Engineer positions in San Jose typically start near $169,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $225,000. Junior MLOps engineers start at $105,000 to $135,000, reaching mid level at $140,000 to $180,000 in two to three years.

Relevant certifications can add 5 to 15% to a MLOps Engineer's base salary in San Jose. Specifically, experience with ml pipeline orchestration (kubeflow, mlflow, vertex ai), model monitoring in production, and infrastructure automation are the key salary levers. In a market where the range spans $169,000 to $296,000, certifications often bridge the gap between the 50th and 75th percentile.

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, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.

San Jose's cost of living is 38% above the national average. San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $225,000 salary here buys a different lifestyle than the same number in another market.

MLOps Engineer salary in other cities

Houston$149,000
Hartford$168,000
Honolulu$212,000
Indianapolis$144,000
Jackson$124,000
Jersey City$184,000

Other salaries in San Jose

Senior Data Scientist (AI-Specialized)$260,000
Sheet Metal Worker$82,000
Surgical Technologist$79,000
Store Manager / Retail Manager$75,000

Related salary pages

Jump to nearby roles and cities most relevant to MLOps Engineers in San Jose.

  • Senior Data Scientist (AI-Specialized)San Jose, CA$260,000
  • Sheet Metal WorkerSan Jose, CA$82,000
  • MLOps EngineerHouston, TX$149,000
  • MLOps EngineerHartford, CT$168,000
  • Senior Data Scientist (AI-Specialized)Houston, TX$183,000
  • Sheet Metal WorkerHartford, CT$61,000
  • MLOps EngineerHonolulu, HI$212,000
  • Surgical TechnologistSan Jose, CA$79,000

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"MLOps Engineer Salary in San Jose, CA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/mlops-engineer/san-jose

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