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Machine Learning Engineer Salary in Cupertino, CA

Government-verified H-1B salary data from 20 certified filings

Government-Verified
$195,559
Average Salary
$195,558
Median Salary
20
Filings
6
Companies

How much do Machine Learning Engineers make in Cupertino?

Based on 20 certified H-1B visa filings, Machine Learning Engineers in Cupertino, CA earn an average salary of $195,559 per year. Salaries range from $117,335 to $352,006 depending on experience and employer.

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

Top Companies Hiring Machine Learning Engineers in Cupertino

Company Avg. Salary Filings
Apple Inc. $195,559 20

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Machine Learning Engineer Salaries in Other Cities

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
Austin, TX
6 filings
$140,451

View all Machine Learning Engineer salaries →

Other Popular Roles in Cupertino

Software Engineering Systems $186K Software Development Engineering $198K Engineering Project/Program $173K Software Engineering Applications $194K Machine Learning $198K Software Development Engineer - Test $182K Software Development Engineer $205K Software Development Engineer Ii $198K

View all roles in Cupertino →

Frequently Asked Questions

What is the average Machine Learning Engineer salary in Cupertino?

The average Machine Learning Engineer salary in Cupertino, CA is $195,559 based on 20 certified H-1B filings. The median salary is $195,558.

Which companies hire Machine Learning Engineers in Cupertino?

Top employers hiring Machine Learning Engineers in Cupertino include Apple 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.