Salary Data

MLOps Engineer Salary in San Diego

$187,000

median salary, 17% above the national average

According to Orbit's 2026 salary analysis, the average MLOps Engineer salary in San Diego is $187,000. Salaries range from $140,000 (25th percentile) to $246,000 (75th percentile), adjusted for San Diego's cost of living.

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Salary range

25th Percentile

$140,000

per year

Median

$187,000

per year

75th Percentile

$246,000

per year

How San Diego compares

San Diego, CA

$187,000

Cost of living: 17% above average

National Average

$160,000

San Diego is $27,000 above

MLOps Engineer job market in San Diego

San Diego market overview

San Diego's economy thrives on defense, biotech, and a growing tech startup scene. The city's proximity to major military installations drives strong aerospace and cybersecurity demand. Biotech companies along the Torrey Pines corridor compete aggressively for scientific and engineering talent, pushing specialized salaries close to Bay Area levels.

What drives MLOps Engineer salaries

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.

Beyond base salary

Total compensation

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.

Tax considerations in San Diego

California's top 13.3% state tax applies here. While San Diego has no city income tax, the state burden means you should negotiate gross pay higher than you might expect for the cost of living.

Career progression

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.

Top industries in San Diego

Defense & MilitaryBiotech & PharmaTechnologyTourismClean Energy

Negotiating in San Diego

Leverage defense and biotech sector demand. Candidates with security clearances or specialized science backgrounds can command 15 to 20% premiums in San Diego.

MLOps Engineer salary FAQ

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.

Relocating to San Diego for a MLOps Engineer role depends on the salary difference, cost of living adjustment, career growth opportunities, and personal preferences. Calculate your take home pay after taxes and housing costs. Orbit's Runway tool helps you model the financial impact of relocation decisions.

Top paying employers for MLOps Engineers in San Diego are typically large technology companies, financial institutions, and well funded startups. Company size, industry, and funding stage all influence compensation. Using Orbit to track and compare multiple offers helps you identify the best total package.

MLOps Engineer salary in other cities

Other salaries in San Diego

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