Also called: Recommender Systems Engineer, Personalization Engineer
Builds the algorithms that decide what video, song or product you see next.
You test a new idea for a streaming app's "Up Next" row on 1% of users and watch whether people keep watching longer. You balance what keeps people engaged with what is good for them and fair to creators.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Bachelor's in computer science or math; many have a master's in machine learning.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Computer Science, Statistics, Mathematics.
Growing much faster than average (about 20% over 10 years). Tracks ML-heavy software and data science roles.
Low risk in 5 years, medium in 10. AI tools speed model building, but big recommender systems tied to revenue keep specialist engineers in demand.
Classes: AP Statistics, AP Calculus, AP Computer Science A.
Official data: O*NET occupation 15-1252.
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.