U.S. Immigration Data

Priority dates, work visas, and labor market data

Machine Learning Scientist (20639.143)

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

Only 2 filings match this exact title. For the full picture, see the broader Machine Learning profile (671 filings).
View Machine Learning →

2

Total Filings

All time (charts below use selected years)

$106,191

Median Salary

Across filings in selected period

1

Top Employers

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

$103,224

25th Percentile

$104,337

Median (50th)

$106,191

75th Percentile

$108,046

90th Percentile

$109,158

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

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Top Employers Hiring Machine Learning Scientist (20639.143)
Employer Filings Median Salary Salary Range Approval Rate
GLASSDOOR INC 2 $106,191 $102,482 - $109,900 100.0%
Geographic Distribution
Based on 2 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 2 filings as above)
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Top Metro Areas
City State Filings Median Salary
Chicago IL 2 $106,191
Related Roles & Career Progression

These roles are variations of Machine Learning Scientist (20639.143) with different seniority levels.

Role Experience Level Filings Avg Salary
Machine Learning Scientist (20639.143) Unspecified 2 $106,191
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
2022 1 $109,900 100.0%
2023 1 $102,482 100.0%
Company Comparison - Machine Learning Scientist (20639.143)

Compare how top companies pay for this role.

Company Filings Median Salary Approval Rate
GLASSDOOR INC 2 $106,191 100.0%
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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.