Machine Learning Engineer in the United States: a US$180,000 national median
The United States national median for a machine learning engineer is US$180,000 a year, or about US$15,000 a month before tax.
The closest technology peer is cloud architect at US$172,000, so a machine learning engineer earns 4.7% more at the national median in the United States.
National median
US$180,000
per year
Monthly (national)
US$15,000
per month, before tax
Hourly (national)
US$86.54
varies by city
How it ranks among American careers
By national median, it is number 3 of 27 roles we track there. Dentist is the next step up at US$215,000, and Cloud Architect the next step down at US$172,000.
Machine Learning Engineer is the best-paid technology role we cover, ahead of Cloud Architect (US$172,000), Product Manager (US$158,000) and DevOps Engineer (US$140,000).
Machine Learning Engineer take-home pay in the United States (estimate)
Using our take-home calculator for the United States, the US$180,000 median loses income tax US$31,934, Social Security US$11,160 and Medicare US$2,610, leaving US$134,296 a year or US$11,191 a month. Total deductions: 25% of gross.
The United States: prices, jobs and holidays
Consumer prices in the United States rose 2.9% in 2024 (World Bank). Matching that on the US$180,000 median takes a raise of about US$5,220.
Unemployment was 4.2% of the labour force in 2025.
The United States has 14 public holidays in 2026 (Nager.Date); at the median, one working day is worth about US$692 before tax.