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Machine Learning Engineer Salary in Sunnyvale, CA

Government-verified H-1B salary data from 14 certified filings

Government-Verified
$210,866
Average Salary
$210,865
Median Salary
14
Filings
4
Companies

How much do Machine Learning Engineers make in Sunnyvale?

Based on 14 certified H-1B visa filings, Machine Learning Engineers in Sunnyvale, CA earn an average salary of $210,866 per year. Salaries range from $126,519 to $379,558 depending on experience and employer.

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

Top Companies Hiring Machine Learning Engineers in Sunnyvale

Company Avg. Salary Filings
Apple Inc. $208,438 7
DoorDash, Inc. $192,889 4
Wayve Technologies, Inc $235,750 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
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 Sunnyvale

Software Engineer $189K Software Development Engineer Ii $192K Staff Software Engineer $207K Software Engineering Applications $186K Senior Software Engineer $170K Software Development Engineer Iii $216K Software Engineer Iii $117K Program Manager $179K

View all roles in Sunnyvale →

Frequently Asked Questions

What is the average Machine Learning Engineer salary in Sunnyvale?

The average Machine Learning Engineer salary in Sunnyvale, CA is $210,866 based on 14 certified H-1B filings. The median salary is $210,865.

Which companies hire Machine Learning Engineers in Sunnyvale?

Top employers hiring Machine Learning Engineers in Sunnyvale include Apple Inc., DoorDash, Inc., Wayve Technologies, 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.