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Machine Learning Engineer Salary in Austin, TX

Government-verified H-1B salary data from 6 certified filings

Government-Verified
$140,451
Average Salary
$140,450
Median Salary
6
Filings
2
Companies

How much do Machine Learning Engineers make in Austin?

Based on 6 certified H-1B visa filings, Machine Learning Engineers in Austin, TX earn an average salary of $140,451 per year. Salaries range from $84,270 to $252,810 depending on experience and employer.

Source: US Department of Labor LCA Disclosure Data, Q1 FY2025

Top Companies Hiring Machine Learning Engineers in Austin

Company Avg. Salary Filings
Apple Inc. $157,800 3
ByteDance Inc. $118,518 2

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Machine Learning Engineer Salaries in Other Cities

Cupertino, CA
20 filings
$195,559
San Jose, CA
18 filings
$217,183
New York, NY
17 filings
$182,098
Sunnyvale, CA
14 filings
$210,866
Bellevue, WA
13 filings
$171,552
Seattle, WA
10 filings
$184,153
SAN FRANCISCO, CA
8 filings
$187,025
Menlo Park, CA
7 filings
$225,869

View all Machine Learning Engineer salaries →

Other Popular Roles in Austin

Software Engineer $124K Software Developer $108K Software Development Engineer Ii $148K Software Engineering Applications $156K Senior Software Engineer $148K Software Development Engineer $133K Software Engineering $144K Software Development Engineer I $118K

View all roles in Austin →

Frequently Asked Questions

What is the average Machine Learning Engineer salary in Austin?

The average Machine Learning Engineer salary in Austin, TX is $140,451 based on 6 certified H-1B filings. The median salary is $140,450.

Which companies hire Machine Learning Engineers in Austin?

Top employers hiring Machine Learning Engineers in Austin include Apple Inc., ByteDance Inc.. These companies have filed H-1B visa applications for this role in this location.

How accurate is this salary data?

This data comes from official US Department of Labor Labor Condition Application (LCA) filings. Companies are legally required to report accurate salary information—providing false information constitutes federal fraud. This makes our data more reliable than self-reported salary surveys.