U.S. Immigration Data

Priority dates, work visas, and labor market data

Machine Learning Engineer

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

966

Total Filings

All time (charts below use selected years)

$160,000

Median Salary

Across filings in selected period

+29.1%

Filing Growth

148 → 191 filings, FY2021 to FY2025 (latest year appears partial)

15

Top Employers

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

$121,763

25th Percentile

$141,378

Median (50th)

$160,000

75th Percentile

$179,853

90th Percentile

$202,058

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

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Top Employers Hiring Machine Learning Engineer
Top H-1B sponsors for Machine Learning Engineer →
Employer Filings Median Salary Salary Range Approval Rate
APPLE INC. 336 $161,000 $115,000 - $256,118 75.3%
ADOBE INC. 109 $170,186 $130,923 - $250,568 89.9%
CLOUDWICK TECHNOLOGIES INC 14 $120,931 $119,122 - $121,763 100.0%
Twitter, Inc. 14 $168,500 $143,500 - $180,250 85.7%
META PLATFORMS, INC. 13 $176,224 $165,000 - $213,111 92.3%
Zillow, Inc. 12 $170,000 $129,900 - $200,000 91.7%
Expedia, Inc. 11 $128,502 $86,000 - $148,271 45.5%
BLOCK, INC. 10 $176,400 $149,400 - $272,000 90.0%
Pinterest, Inc. 9 $187,224 $150,000 - $309,798 88.9%
ABNORMAL SECURITY CORPORATION 8 $152,363 $121,763 - $185,000 100.0%
Bloomberg L.P. 6 $184,500 $115,918 - $185,000 100.0%
Nuro LLC 6 $163,500 $150,000 - $208,000 50.0%
Dropbox, Inc. 5 $162,400 $148,500 - $215,000 100.0%
Cruise LLC 5 $153,000 $132,870 - $180,000 80.0%
Hyper Labs Inc. 5 $160,000 $160,000 - $168,000 100.0%
Geographic Distribution
Based on 843 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 843 filings as above)
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Top Metro Areas
City State Filings Median Salary
Cupertino CA 250 $161,281
San Francisco CA 69 $170,000
San Jose CA 65 $158,340
Seattle WA 29 $166,000
New York NY 23 $160,000
NEWARK CA 14 $120,931
Menlo Park CA 11 $195,000
Redwood City CA 8 $160,000
Santa Clara CA 8 $129,704
Sunnyvale CA 8 $140,550

What different H-1B workers are actually paid

Across the 244,862 petitions we hold for the H-1B cap lottery as a whole, the I-129 filing records the beneficiary's actual pay alongside their country of birth, education and gender. A raw pay gap between two groups is mostly a statement about which jobs they hold — so each gap below is shown twice: as it looks raw, and again measured within the same job title. The second number is the one to read.

Gender is here as the control. Our decomposition of the H-1B gender pay gap found that gap is sorting almost entirely — it survives the correction at under a percent. Country of birth and education do not behave that way: part of each gap is job mix, and a real difference is still standing after the correction.

Country of birth

Group Petitions Median actual pay Raw gap vs everyone Within the same job title Explained by job mix
India 164,659 $90,397 -$2,288 -$2,411 —
China 35,095 $110,000 +$17,315 +$8,896 48.6%
Philippines 1,863 $64,000 -$28,685 -$594 97.9%

60 other values (39,441 petitions) are not shown, because too few of their petitions sit in a job title big enough to compare within. Only a raw figure exists there — and a raw figure is the thing this table corrects, so ranking it beside these would mislead rather than inform.

Education level

Group Petitions Median actual pay Raw gap vs everyone Within the same job title Explained by job mix
Master's degree 102,816 $91,104 -$896 -$262 —
Bachelor's degree 88,784 $90,000 -$2,000 -$1,219 39.0%
Doctorate degree 11,783 $128,400 +$36,400 +$17,739 51.3%
Professional degree 2,272 $150,000 +$58,000 +$24,154 58.4%

One other value (103 petitions) is not shown, because too few of its petitions sit in a job title big enough to compare within. Only a raw figure exists there — and a raw figure is the thing this table corrects, so ranking it beside these would mislead rather than inform.

Gender

Group Petitions Median actual pay Raw gap vs everyone Within the same job title Explained by job mix
Men 164,128 $93,891 +$1,206 -$361 —
Women 80,734 $90,000 -$2,685 +$469 —

How to read this. The within-occupation figure compares people holding the same job title, weighted by how many petitions sit in each title. Titles encode seniority, so equal pay within a title does not rule out differences in reaching that title — the same limitation that applies to any controlled pay-gap number. Figures are base pay only: the I-129 reports prospective base compensation, with no equity or bonus, so this is not total compensation. Coverage is FY2021–FY2024 cap-subject H-1B lottery petitions that carry both a pay figure and a job title — a one-time FOIA snapshot, not a live feed. Aggregates only, with small counts suppressed. Source: I-129 petition data sourced from USCIS, obtained by Bloomberg.

Related Roles & Career Progression

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

Role Experience Level Filings Avg Salary
Machine Learning Engineer Unspecified 965 $158,759
Machine Learning Enginner Unspecified 1 $130,000
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
2021 148 $155,000 99.3%
2022 118 $155,103 94.9%
2023 170 $170,000 92.9%
2024 124 $161,100 95.2%
2025 191 $158,690 33.0%
2026 92 $162,218 85.9%
Company Comparison - Machine Learning Engineer

Compare how top companies pay for this role.

Company Filings Median Salary Approval Rate
APPLE INC. 336 $161,000 75.3%
ADOBE INC. 109 $170,186 89.9%
CLOUDWICK TECHNOLOGIES INC 14 $120,931 100.0%
Twitter, Inc. 14 $168,500 85.7%
META PLATFORMS, INC. 13 $176,224 92.3%
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: August 31, 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.