Machine Learning Engineer H-1B wages

Filings decided July 2025 to June 2026. Most are classified as Software Developers (SOC 15-1252).

Employers filed 1,007 wage applications for Machine Learning Engineer jobs from July 2025 to June 2026, across 336 employers. The median offered wage was $172,866, 6.1% above the government's prevailing wage for the job. Adobe Inc. filed the most (143, median $187,741).

Filings
1,007
Positions covered
2,692
Employers
336
Median offered
$172,866
Median prevailing wage
$149,365
Filings since FY2020
4,846
Median offer change since FY2020
+25%
Machine Learning Engineer, all employers1,007 filings, July 2025 to June 2026
$172,866Median wage employers told the government they would pay
$138,570 to $212,000Where the middle half of the filings fall
$149,365Prevailing wage: the legal minimum for these jobs

Offered wage since 2020

The median wage offered for Machine Learning Engineer jobs rose 25%, from $136,000 in fiscal 2020 to $170,000 in fiscal 2026 so far. In fiscal 2026 it was 6.4% above the prevailing wage. Filings peaked in fiscal 2025, with 1,023 filings.

Middle half of offered wagesMedian offered wageMedian prevailing wageFilings per year

$80k$120k$160k$200k$240k$136k$146k$157k$160k$170k$164k$170k388202047620217182022597202377920241,02320258652026*

Fiscal years run October to September. Fiscal 2026 is still running: these figures cover October 2025 to June 2026.

Machine Learning Engineer by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
2026 (Oct to Jun)865$170,000+3.4%$149,240+6.4%
20251,023$164,360−3.4%$148,699+7.6%
2024779$170,186+6.4%$148,699+1.8%
2023597$160,000+1.6%$135,304+10.1%
2022718$157,477+8.1%$134,296+12.9%
2021476$145,725+7.2%$122,637+12.9%
2020388$136,000n/a$117,021+12.0%

Employers that file for this title

Middle half of offered wagesMedian offered wageMedian prevailing wage

EmployerFilingsMedian offeredOffered range and prevailing wagevs prevailing
Adobe Inc.143$187,741+1.0%
Apple Inc.55$199,107at the minimum
Meta Platforms, Inc38$214,032+13.3%
TikTok Inc.37$210,000+16.6%
ByteDance Inc.34$260,000+42.0%
Netflix, Inc.20$237,786at the minimum
Cisco Systems, Inc.17$165,300+10.5%
Reddit, Inc.17$260,000+58.9%
Zoom Communications, Inc.16$180,710at the minimum
PayPal, Inc.15$138,123+2.4%
Bloomberg L.P.14$160,805at the minimum
DoorDash, Inc.14$177,152+12.0%
Expedia, Inc.14$150,045at the minimum
Waymo LLC12$240,000+9.9%
Red Hat, LLC11$178,131+42.2%
Wayve Technologies, Inc10$282,500+18.1%
TikTok USDS Joint Venture LLC9$176,000+42.5%
Uber Technologies, Inc.9$193,600+15.5%
Pinterest, Inc.9$142,470at the minimum
Qualcomm Technologies, Inc.8$130,187at the minimum
Airbnb, Inc.8$204,000+21.0%
Tesla, Inc.7$172,600+30.9%
Quantiphi, Inc.6$118,397+2.3%
Maplebear Inc.6$175,000+5.4%
Stripe, LLC6$180,355+4.4%

Showing the 25 employers with the most filings of 336. Employers with fewer than 5 filings in total are counted but not named.

Where Machine Learning Engineer jobs are filed

WorksiteFilingsMedian offeredOffered range and prevailing wagevs prevailing
San Jose, CA200$187,741+3.1%
San Francisco, CA80$187,658+11.3%
New York, NY77$161,310+10.5%
Seattle, WA65$177,152at the minimum
Sunnyvale, CA49$199,200+6.9%
Bellevue, WA47$185,000+14.8%
Cupertino, CA34$193,978at the minimum
Mountain View, CA32$202,500+6.5%
Menlo Park, CA25$190,000+9.9%
Santa Clara, CA24$224,418at the minimum
Chicago, IL17$130,000+20.3%
Boston, MA14$169,533+33.5%
Palo Alto, CA14$189,871+9.7%
Austin, TX13$148,741+13.9%
San Diego, CA12$130,187+4.5%
Los Gatos, CA11$264,514at the minimum
Fremont, CA9$172,600+36.2%
San Mateo, CA9$197,500+12.1%
Atlanta, GA8$141,100+13.7%
Irving, TX8$124,459+9.8%
Waltham, MA7$152,000+6.0%
Foster City, CA6$161,637at the minimum
Jersey City, NJ6$160,500+16.1%
Los Angeles, CA6$182,279+6.7%
Cambridge, MA5$181,000+20.7%

Seniority of the jobs filed

Level I, entry19%
Level II, qualified41%
Level III, experienced23%
Level IV, fully competent17%

The government assigns each job one of four wage levels. A higher level means a higher legal minimum.

What these numbers are

Source: U.S. Department of Labor, OFLC disclosure data. How we clean and count it.

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