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  1. Home/
  2. Salary/
  3. ML Pipeline Engineer/
  4. Austin

ML Pipeline Engineer.

Austin.

$173,000

median salary, 3% above the national average

$132,000 to $227,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

A ML Pipeline Engineer in Austin earns a median of $173,000 in 2026. That is 3% above the national average. The range runs from $132,000 to $227,000, and where you land depends on your experience, your skills, and how well you negotiate. Compensation scales with pipeline complexity, data volume handled, and the number of production models supported.

Salary range

25th Percentile

$132,000

per year

Median

$173,000

per year

75th Percentile

$227,000

per year

Tap to place your salary

$132,000$227,000

How Austin compares

Austin, TX

$173,000

Cost of living: 3% above average

National Average

$168,000

Austin is $5,000 above

What you should know

Here is what the ML Pipeline Engineer market actually looks like in Austin. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. 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 Austin, cost of living sits near the national average, so the numbers you see are roughly what you keep.

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: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $173,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for ML Pipeline Engineers in Austin runs from $132,000 to $227,000. 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 Austin

TechnologySemiconductorsClean EnergyHealthcareGovernment

Negotiating in Austin

Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher.

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.

It depends on the position and employer. Many ML Pipeline Engineers in Austin are classified as exempt salaried employees without overtime eligibility. However, total compensation packages include 12 to 20% bonuses at established companies. When evaluating the $132,000 to $227,000 range, ask about the total compensation structure during negotiation.

The national median for a ML Pipeline Engineer is $167,961. In Austin, cost of living adjustments push the median to $173,000. That premium reflects Austin's higher housing, transportation, and everyday costs.

Austin's cost of living multiplier is 1.03x the national average. The adjusted median ML Pipeline Engineer salary of $173,000 accounts for this. In practice, a ML Pipeline Engineer earning $173,000 in Austin has roughly the same purchasing power as someone earning $167,961 in an average cost market.

ML Pipeline Engineer salary in other cities

Los Angeles$198,000
Miami$188,000
Minneapolis$176,000
New York$215,000
Nashville$168,000
Philadelphia$183,000

Other salaries in Austin

Account Executive$98,000
Accountant$74,000
AI Engineer$180,000
AI Product Manager$175,000

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