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Machine Learning Engineer Salary in Menlo Park, CA

Government-verified H-1B salary data from 7 certified filings

Government-Verified
$225,869
Average Salary
$225,868
Median Salary
7
Filings
2
Companies

How much do Machine Learning Engineers make in Menlo Park?

Based on 7 certified H-1B visa filings, Machine Learning Engineers in Menlo Park, CA earn an average salary of $225,869 per year. Salaries range from $135,521 to $406,563 depending on experience and employer.

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

Top Companies Hiring Machine Learning Engineers in Menlo Park

Company Avg. Salary Filings
Meta Platforms, Inc $225,869 7

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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
Austin, TX
6 filings
$140,451

View all Machine Learning Engineer salaries →

Other Popular Roles in Menlo Park

Software Engineer $214K Data Engineer $201K Research Scientist $219K Data Scientist $203K Software Engineering Manager $273K Production Engineer $204K Product Manager $226K Product Designer $226K

View all roles in Menlo Park →

Frequently Asked Questions

What is the average Machine Learning Engineer salary in Menlo Park?

The average Machine Learning Engineer salary in Menlo Park, CA is $225,869 based on 7 certified H-1B filings. The median salary is $225,868.

Which companies hire Machine Learning Engineers in Menlo Park?

Top employers hiring Machine Learning Engineers in Menlo Park include Meta Platforms, 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.