Machine Learning Engineer H-1B Salary in Virginia 2026
Based on 121 certified LCA filings for Machine Learning Engineer roles in Virginia (DOL FY2022β2026). Median wage: $148K. See national Machine Learning Engineer data β
Wage Level Breakdown, Virginia
| DOL Wage Level | Filings | Share | Est. Lottery Odds |
|---|---|---|---|
| Level I | 19 | 16.1% | ~8% |
| Level II | 35 | 29.7% | ~22% |
| Level III | 37 | 31.4% | ~44% |
| Level IV | 27 | 22.9% | ~67% |
Top Machine Learning Engineer H-1B Cities in Virginia
| City | Filings | Avg Wage |
|---|---|---|
| McLean | 15 | $128K |
| Arlington | 14 | $145K |
| Vienna | 13 | $159K |
| Ashburn | 11 | $175K |
| Herndon | 7 | $129K |
| Reston | 7 | $140K |
| ASHBURN | 6 | $145K |
| Falls Church | 5 | $150K |
| Brambleton | 5 | $175K |
| Blacksburg | 4 | $192K |
Top Machine Learning Engineer H-1B Employers in Virginia
| Employer | Filings | Avg Wage |
|---|---|---|
| Navy Federal Credit Union | 12 | $165K |
| AMPSIGHT | 6 | $145K |
| KEYSIGHT TECHNOLOGIES, INC. | 4 | $110K |
| Comcast Cable Communications, LLC | 4 | $174K |
| iStream Solutions, Inc. | 4 | $163K |
| TORC Robotics, Inc. | 3 | $209K |
| Elevance Health, Inc. | 3 | $160K |
| AgileTrailblazers, LLC | 3 | $109K |
Machine Learning Engineer H-1B Filings Trend, Virginia
| Fiscal Year | Filings | Avg Wage |
|---|---|---|
| FY2021 | 1 | $165K |
| FY2022 | 17 | $130K |
| FY2023 | 19 | $134K |
| FY2024 | 24 | $145K |
| FY2025 | 48 | $146K |
| FY2026 | 12 | $183K |
Green Card (PERM) Sponsorship in Virginia
Beyond H-1B, employers across all roles in Virginia filed 54,566 PERM green-card petitions (47,842 certified) in DOL disclosure data 2007β2026, with a median offered wage of $90K. PERM (ETA-9089) is a separate DOL process from the H-1B LCA data above and isn't broken out by role in DOL's disclosure files. See full Virginia state data β
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Wage data aggregated from DOL LCA disclosure files (FY2022β2026), filtered to certified petitions with wages between $30K and $1M in Virginia. Lottery-odds estimates reflect the 2026 wage-weighted selection model and are illustrative.