U.S. Immigration Data

Priority dates, work visas, and labor market data

Machine Learning/NLP Engineer

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

Only 3 filings match this exact title. For the full picture, see the broader Machine Learning Engineer profile (6,491 filings).
View Machine Learning Engineer →

3

Total Filings

All time (charts below use selected years)

$176,800

Median Salary

Across filings in selected period

1

Top Employers

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

$168,480

25th Percentile

$171,600

Median (50th)

$176,800

75th Percentile

$182,000

90th Percentile

$185,120

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

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Top Employers Hiring Machine Learning/NLP Engineer
Employer Filings Median Salary Salary Range Approval Rate
Eliassen Group, LLC 2 $176,800 $166,400 - $187,200 100.0%
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
Norwood MA 1 $187,200
Quincy MA 1 $166,400
Related Roles & Career Progression

These roles are variations of Machine Learning/NLP Engineer with different seniority levels.

Role Experience Level Filings Avg Salary
Machine Learning/NLP Engineer Unspecified 2 $176,800
MACHINE LEARNING/NLP LEAD ENGINEER 1 $133,078
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
2023 1 $166,400 100.0%
2026 1 $187,200 100.0%
Company Comparison - Machine Learning/NLP Engineer

Compare how top companies pay for this role.

Company Filings Median Salary Approval Rate
Eliassen Group, LLC 2 $176,800 100.0%
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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.