Login

Software Engineer, Machine Learning Salary in Sunnyvale, CA

Government-verified H-1B salary data from 9 certified filings

Government-Verified
$177,598
Average Salary
$177,598
Median Salary
9
Filings
3
Companies

How much do Software Engineer, Machine Learnings make in Sunnyvale?

Based on 9 certified H-1B visa filings, Software Engineer, Machine Learnings in Sunnyvale, CA earn an average salary of $177,598 per year. Salaries range from $106,559 to $319,677 depending on experience and employer.

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

Top Companies Hiring Software Engineer, Machine Learnings in Sunnyvale

Company Avg. Salary Filings
LinkedIn Corporation $156,198 7
Meta Platforms, Inc $252,500 2

Unlock Full Salary Data

See all Software Engineer, Machine Learning salaries in Sunnyvale.

$49/mo – Full Access

Software Engineer, Machine Learning Salaries in Other Cities

Menlo Park, CA
12 filings
$223,168

View all Software Engineer, Machine Learning 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 Software Engineer, Machine Learning salary in Sunnyvale?

The average Software Engineer, Machine Learning salary in Sunnyvale, CA is $177,598 based on 9 certified H-1B filings. The median salary is $177,598.

Which companies hire Software Engineer, Machine Learnings in Sunnyvale?

Top employers hiring Software Engineer, Machine Learnings in Sunnyvale include LinkedIn Corporation, 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.