Also called: Machine Learning Meteorologist, AI Weather Forecasting Researcher
Builds artificial-intelligence models that forecast weather faster than traditional supercomputer models.
You train neural networks on decades of weather data, then test whether they predict hurricane tracks better than the physics models. Much of the day is coding, checking results with forecasters, and reading new papers.
Tech companies pay the most; NOAA and universities pay less.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Master's or PhD in atmospheric science, computer science or applied math.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Atmospheric Science, Computer Science, Applied Mathematics.
Growing much faster than average. One of the fastest-moving areas in weather; not tracked separately.
Low risk in 5 years, medium in 10. A booming new field; AI writes code, but building and testing weather AI needs top experts, and competition is stiff.
Classes: AP Calculus BC, AP Computer Science, AP Physics C.
Official data: O*NET occupation 19-2021.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.