U.S. Immigration Data

Priority dates, work visas, and labor market data

Machine Learning Engineer (118.4273.3)

H-1B & Green Card Salary Data and Market Analysis

Only 4 filings match this exact title. For the full picture, see the broader Machine Learning profile (671 filings).
View Machine Learning →

4

Total Filings

All time (charts below use selected years)

$242,500

Median Salary

Across filings in selected period

1

Top Employers

Hiring This Role
Salary Distribution (All Employers + Top Employer Overlays)
10th Percentile

$204,500

25th Percentile

$211,250

Median (50th)

$242,500

75th Percentile

$275,000

90th Percentile

$284,000

See all H-1B/PERM filings for this role →

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Top Employers Hiring Machine Learning Engineer (118.4273.3)
Employer Filings Median Salary Salary Range Approval Rate
ADOBE INC. 4 $242,500 $200,000 - $290,000 100.0%
Salary Distribution by Experience Level
Experience Level Filings Median Salary Salary Range
III 4 $242,500 $200,000 - $290,000
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Geographic Distribution
Based on 4 filings in selected period (charts use selected years, not all-time total)
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Median Salary by State
Based on selected period (same 4 filings as above)
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Top Metro Areas
City State Filings Median Salary
San Jose CA 3 $270,000
Lehi UT 1 $200,000
Related Roles & Career Progression

These roles are variations of Machine Learning Engineer (118.4273.3) with different seniority levels.

Filing Volume Trend
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Median Salary Trend
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Year-over-Year Statistics
Fiscal Year Filings Median Salary Approval Rate
2025 3 $215,000 100.0%
2026 1 $290,000 100.0%
Company Comparison - Machine Learning Engineer (118.4273.3)

Compare how top companies pay for this role.

Company Filings Median Salary Approval Rate
ADOBE INC. 4 $242,500 100.0%
Data Source: U.S. Department of Labor (DOL) H-1B and green card (PERM) disclosure data. Data shown for fiscal years 2021 to present. Last updated: October 12, 2026

Note on Salary Data: For data quality, we exclude salaries below $30,000 (likely data entry errors) and above $1,000,000 (lacking automated validation for ultra-high compensation packages). This may affect statistics for some executive and specialized positions.