Skip to main content
Orbyt
FeaturesComparePricingToolsDeveloperBlogSupport
Log inBegin

Product

FeaturesEverything Orbyt can doCompareOrbyt vs the competitionPricingPlans and pricing

Tools

Salary ExplorerResearch salaries by role and cityInterview PrepPractice with AI mock interviewsResume ScoreGet your resume scored by AIJob BoardBrowse open positionsAI Skills LabBuild job-ready AI skills

Company

AboutOur story and approachCreedHere’s to the relentless onesDeveloperMCP server and REST APILabsWhat we’re building nextBlogJob search tips and strategySupportHelp articles and guides
BeginAlready have an account? Log in
  1. Home/
  2. Salary/
  3. ML Pipeline Engineer/
  4. San Jose

ML Pipeline Engineer.

San Jose.

$232,000

median salary, 38% above the national average

$177,000 to $304,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

San Jose is 38% more expensive than the national average. For ML Pipeline Engineers, that shakes out to a median of $232,000, with the full range spanning $177,000 to $304,000. Compensation scales with pipeline complexity, data volume handled, and the number of production models supported. Know the range before you walk in.

Salary range

25th Percentile

$177,000

per year

Median

$232,000

per year

75th Percentile

$304,000

per year

Tap to place your salary

$177,000$304,000

How San Jose compares

San Jose, CA

$232,000

Cost of living: 38% above average

National Average

$168,000

San Jose is $64,000 above

What you should know

Here is what the ML Pipeline Engineer market actually looks like in San Jose. 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. 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 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. 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 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 $232,000, 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 ML Pipeline Engineers in San Jose runs from $177,000 to $304,000. 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 Jose

Technology & SoftwareSemiconductorsArtificial IntelligenceNetworking & HardwareClean Energy

Negotiating in San Jose

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.

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.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Total compensation packages include 12 to 20% bonuses at established companies. In San Jose's market, these extras can add $58,000 or more on top of the base salary.

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 Jose, these factors can push compensation from the 25th percentile of $177,000 to the 75th percentile of $304,000 or beyond.

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. For ML Pipeline Engineers specifically, the median salary of $232,000 reflects that demand.

Remote work has compressed geographic salary premiums for ML Pipeline Engineers. Some San Jose employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like San Jose, remote roles may pay 10 to 20% less than local positions. The $177,000 to $304,000 range reflects both arrangements.

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. For ML Pipeline Engineers specifically, compensation scales with pipeline complexity, data volume handled, and the number of production models supported, which signals sustained demand. The current compensation range of $177,000 to $304,000 reflects a market that is competing for talent.

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 Jose

Account Executive$131,000
Accountant$99,000
AI Engineer$241,000
AI Product Manager$235,000

Related

Salary ExplorerInterview PrepResume ScoreJob Search Guide

Negotiating a ML Pipeline Engineer offer?

Get a personalized playbook.

Begin.

Product

  • Features
  • Compare
  • Pricing
  • Support

For

  • Career Changers
  • New Graduates
  • Recently Laid Off
  • Senior Professionals
  • Remote Job Seekers
  • Burned Out

Free Tools

  • Interview Prep
  • Resume Score
  • Salary Explorer
  • AI Skills Assessment
  • AI Skills Lab
  • Job Board

Guides

  • Job Search Guide
  • Interview Prep Guide
  • Resume Guide

Compare

  • Orbyt vs Teal
  • Orbyt vs Huntr
  • Orbyt vs Jobscan
  • Orbyt vs LinkedIn
  • Orbyt vs Trello
  • Orbyt vs Notion
  • Orbyt vs Spreadsheets
  • Orbyt vs Simplify
  • Orbyt vs Careerflow
  • Orbyt vs ApplyArc
  • Orbyt vs Jobright
  • Orbyt vs Sprout

Developers

  • API Docs
  • Claude Desktop
  • OpenClaw
  • ChatGPT
  • Apple Shortcuts
  • Zapier

Connect

  • Refer a Friend
  • Recruiter Program

Company

  • About
  • Founder
  • Values
  • Creed
  • Labs
  • Blog

Account

  • Sign In
  • Sign Up
Orbyt

© 2026 Purecraft LLC  All rights reserved.

Privacy·Terms·Security·Accessibility·Status