Principal Machine Learning Engineer H-1B wages

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

Employers filed 41 wage applications for Principal Machine Learning Engineer jobs from July 2025 to June 2026, across 28 employers. The median offered wage was $225,000, 18.8% above the government's prevailing wage for the job. Workday, Inc. filed the most (7, median $228,000).

Filings
41
Positions covered
212
Employers
28
Median offered
$225,000
Median prevailing wage
$177,861
Filings since FY2020
130
Median offer change since FY2021
+17%
Principal Machine Learning Engineer, all employers41 filings, July 2025 to June 2026
$225,000Median wage employers told the government they would pay
$200,000 to $245,833Where the middle half of the filings fall
$177,861Prevailing wage: the legal minimum for these jobs

Offered wage since 2020

The median wage offered for Principal Machine Learning Engineer jobs rose 17%, from $190,000 in fiscal 2021 to $221,738 in fiscal 2026 so far. In fiscal 2026 it was 26.2% above the prevailing wage. Filings peaked in fiscal 2025, with 37 filings.

Middle half of offered wagesMedian offered wageMedian prevailing wageFilings per year

$120k$160k$200k$240k$280k$180k$190k$200k$192k$209k$216k$222k4202062021112022132023242024372025352026*

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

Principal Machine Learning Engineer by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
2026 (Oct to Jun)35$221,738+2.8%$175,427+26.2%
202537$215,629+3.4%$186,233+16.3%
202424$208,603+8.9%$170,113+12.3%
202313$191,500−4.3%$155,397+23.2%
202211$200,000+5.3%$158,080+14.6%
20216$190,000+5.4%$147,462+36.9%
20204$180,300n/a$155,116+34.7%

Employers that file for this title

Middle half of offered wagesMedian offered wageMedian prevailing wage

EmployerFilingsMedian offeredOffered range and prevailing wagevs prevailing
Workday, Inc.7$228,000+34.6%
Palo Alto Networks, Inc.4$212,445at the minimum
CSC Investments II, LLC2$240,417+37.8%
Tiami Labs2$145,000+57.0%
FactSet Research Systems Inc.2$227,857+51.5%
Fortinet, Inc.2$256,357+7.7%
Cohere Health, Inc.1$161,803+29.1%
TripAdvisor LLC1$235,000+5.1%
Finfare Financial Inc.1$220,000+38.5%
Hologic Sales and Service, LLC1$180,000+26.9%
Move Sales, Inc1$285,000+128.9%
Columbia Sportswear Company1$175,000+12.1%
Unity Technologies SF1$260,000+32.0%
Nu North America, Inc.1$370,000+34.1%
Qualcomm Technologies, Inc.1$230,466at the minimum
PayPal, Inc.1$245,000+8.3%
Lila Sciences, Inc.1$350,000+63.9%
Veryfi, Inc.1$200,000+2.7%
Atlassian US, Inc.1$250,000+11.1%
xMentium, Inc.1$136,578+18.1%
Roblox Corporation1$315,470+47.8%
Cambium Assessment, Inc.1$221,738+26.4%
Mitek Systems, Inc.1$175,000+0.5%
Caremark LLC1$200,000+27.4%

Showing the 24 employers with the most filings of 28. Employers with fewer than 5 filings in total are counted but not named.

Where Principal Machine Learning Engineer jobs are filed

WorksiteFilingsMedian offeredOffered range and prevailing wagevs prevailing
Santa Clara, CA8$224,037at the minimum
Pleasanton, CA4$228,000+41.1%
San Francisco, CA3$225,000+18.8%
San Mateo, CA3$200,000+11.8%
San Jose, CA2$307,500+21.2%
Atlanta, GA1$204,800+34.6%
Austin, TX1$285,000+128.9%
Beaverton, OR1$204,800+15.1%
Bellevue, WA1$260,000+32.0%
Bothell, WA1$190,000+26.2%
Brambleton, VA1$221,738+26.4%
Elk Grove, CA1$145,000+57.0%
Green Brook, NJ1$265,714+76.8%
Indialantic, FL1$161,803+29.1%
Irvine, CA1$220,000+38.5%
Long Island City, NY1$245,833+9.9%
Mountain View, CA1$250,000+11.1%
Nashua, NH1$270,000+124.5%
New York, NY1$175,000+0.5%
Plano, TX1$235,001+65.8%
Portland, OR1$175,000+12.1%
Richardson, TX1$200,000+27.4%
Sacramento, CA1$145,000+57.0%
San Diego, CA1$180,000+26.9%
Somerville, NJ1$235,000+5.1%

Seniority of the jobs filed

Level I, entry0%
Level II, qualified17%
Level III, experienced17%
Level IV, fully competent66%

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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