2026 Salary Guide

Machine Learning Engineer Salary in Austin, United States

Austin, United States 🇺🇸

Avg. Annual Base

$140,000/yr

YoY Growth

+16%

Cost of Living

Moderate

Job Demand

Very High

Salary & Tax Estimator

Adjust by Experience LevelMid-Level (3-5 yrs)

Entry (0-2 yrs)Mid (3-5 yrs)Senior (6+ yrs)

Gross Annual Salary

Mid-Level (3-5 yrs)

$140,000

Est. Tax (22%)

No state income tax in Texas

-$30,800

Net Take-Home Pay

$109,200

* Estimates based on 2026 tax brackets for United States.

As a mid-level Machine Learning Engineer in 🇺🇸 Austin, you can expect to earn approximately $140,000 gross annually. After accounting for the estimated 22% effective tax rate in United States, your take-home pay would be around $109,200 per year, or roughly $9,100 per month. With average living costs in Austin, this leaves you with an estimated monthly disposable income of $6,800 for savings and personal expenses.

Cost of Living vs. Salary Index

See how far your salary goes in Austin compared to other global cities.

Avg. Rent (1-Bed)

$1,600/mo

Utilities & Groceries

$550/mo

Transportation

$150/mo

Monthly Disposable Income

$6,800/mo

Bottom Line: A mid-level Machine Learning Engineer salary of $140,000 in Austin provides a comfortable lifestyle with healthy savings potential. With approximately $109,200 take-home annually, your monthly disposable income after rent and essentials is around $6,800.

Frequently Asked Questions

What is the average Machine Learning Engineer salary in Austin?

The average Machine Learning Engineer salary in Austin, United States is approximately $140,000 per year for mid-level professionals. Entry-level positions start around $105,000, while senior professionals can earn up to $196,000 or more. These figures reflect the Austin job market as of 2026.

How much tax will I pay as a Machine Learning Engineer in Austin?

In Austin, United States, the effective tax rate for a Machine Learning Engineer is approximately 22%. No state income tax in Texas. On a mid-level salary of $140,000, you can expect to pay around $30,800 in taxes annually, leaving you with approximately $109,200 in net take-home pay.

Is Austin a good city for Machine Learning Engineers?

Austin is an excellent city for Machine Learning Engineers. The demand level is currently very high, with an expected industry growth rate of +16% year-over-year. Top employers hiring Machine Learning Engineers in Austin include Apple, Dell, Tesla, and more. The cost of living index is 95 (100 = US average), making it moderately affordable compared to other global tech hubs.

What skills do I need to become a Machine Learning Engineer?

To succeed as a Machine Learning Engineer, you should master the following core skills: Python, TensorFlow, PyTorch, MLOps, Statistics. Additionally, certifications such as AWS ML Specialty or Google ML Engineer can significantly boost your employability and salary potential. In Austin's competitive market, continuous learning and staying updated with industry trends is essential.

Can I live comfortably on a Machine Learning Engineer salary in Austin?

Yes, a Machine Learning Engineer earning $140,000 in Austin can live comfortably. After taxes ($30,800), your monthly take-home pay would be approximately $9,100. With average monthly expenses of $2,300 (rent, utilities, groceries, transport), you would have approximately $6,800 in disposable income each month for savings, entertainment, and other expenses.

Top Employers in Austin

Apple

4.2

Dell

4.3

Tesla

4.3

Oracle

4.3

IBM