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  1. Home/
  2. Salary/
  3. ML Pipeline Engineer/
  4. San Diego

ML Pipeline Engineer.

San Diego.

$197,000

median salary, 17% above the national average

$150,000 to $257,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

The median ML Pipeline Engineer salary in San Diego is $197,000, 17% above the national average. Entry level starts near $150,000. Experienced professionals push past $257,000. San Diego's economy thrives on defense, biotech, and a growing tech startup scene. That spread is your negotiation window.

Salary range

25th Percentile

$150,000

per year

Median

$197,000

per year

75th Percentile

$257,000

per year

Tap to place your salary

$150,000$257,000

How San Diego compares

San Diego, CA

$197,000

Cost of living: 17% above average

National Average

$168,000

San Diego is $29,000 above

What you should know

If you are interviewing for ML Pipeline Engineer roles in San Diego, here is what you are walking into. 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. Compensation scales with pipeline complexity, data volume handled, and the number of production models supported. Engineers building end-to-end orchestration for training, validation, and deployment earn top salaries. Expertise in tools like Kubeflow, Airflow, or Vertex AI Pipelines and feature store integration drives premium offers.

Junior ML pipeline engineers earn $108,000 to $128,000 building components of existing pipelines. Mid-level roles designing full pipeline architectures pay $148,000 to $168,000. Senior engineers leading platform teams reach $195,000 to $220,000, with staff engineers exceeding $250,000. In San Diego, those numbers run higher. The cost of living here is 17% above average, and employers adjust to compete.

Base salary is not the full picture. Total compensation packages include 12 to 20% bonuses at established companies. Startups frequently offer equity worth 15 to 30% of base salary, with accelerated vesting for high-impact pipeline infrastructure roles. And on the tax side: 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. When someone quotes you $197,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage defense and biotech sector demand. Candidates with security clearances or specialized science backgrounds can command 15 to 20% premiums in San Diego. The range for ML Pipeline Engineers in San Diego runs from $150,000 to $257,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

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.

Common questions.

Yes. Engineers proficient in Kubeflow, Flyte, or Dagster for ML-specific orchestration earn 8 to 12% more than those with only general-purpose tools. Cloud-native pipeline experience with Vertex AI or SageMaker Pipelines is equally valued.

Very important. ML pipeline engineers with strong data engineering backgrounds in Spark, dbt, or streaming systems command 10 to 15% higher salaries because they can optimize the full data-to-model lifecycle end to end.

Compensation scales with pipeline complexity, data volume handled, and the number of production models supported. Engineers building end-to-end orchestration for training, validation, and deployment earn top salaries. Expertise in tools like Kubeflow, Airflow, or Vertex AI Pipelines and feature store integration drives premium offers. In San Diego, these factors can push compensation from the 25th percentile of $150,000 to the 75th percentile of $257,000 or beyond.

In 2026, the average ML Pipeline Engineer salary in San Diego, CA is $197,000. The 25th percentile sits at $150,000 and the 75th percentile reaches $257,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for ML Pipeline Engineers. Some San Diego employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like San Diego, remote roles may pay 10 to 20% less than local positions. The $150,000 to $257,000 range reflects both arrangements.

ML Pipeline Engineer salary in other cities

Houston$163,000
Indianapolis$153,000
Kansas City$156,000
Los Angeles$198,000
Miami$188,000
Minneapolis$176,000

Other salaries in San Diego

Account Executive$111,000
Accountant$84,000
AI Engineer$205,000
AI Product Manager$199,000

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