Teacher vs Machine Learning Engineer Salary

Machine Learning Engineers earn more nationally. The median annual salary for Teachers is $63,680 versus $158,000 for Machine Learning Engineers — a difference of $94,320 per year or $7,860 per month.

The national median salary gap between Teachers and Machine Learning Engineers is $94,320 per year. Machine Learning Engineers earn 148% more. Over a 30-year career this difference, if invested at 7% annual return, compounds to approximately $1,069,145.

Based on BLS OES 2024-2025 data, New York pays Teachers the highest median salary at $89,240 per year.

Based on BLS OES 2024-2025 data, California pays Machine Learning Engineers the highest median salary at $212,000 per year.

Salary is one factor — Machine Learning Engineers earn more nationally. But career choice involves job satisfaction, work-life balance, education requirements, and job growth. Elementary and Middle School Teachers and Computer and Information Research Scientists both have different educational paths, licensing requirements, and long-term growth projections. Use salary as a starting point, not the only factor.

Based on a standard 2,080-hour work year, Teachers earn approximately $31 per hour nationally and Machine Learning Engineers earn approximately $76 per hour. Actual hourly rates vary based on overtime, part-time work, and whether the role is salaried or hourly.