Senior Machine Learning Engineer, Learner Modeling
Core
Design, build, and own learner models (knowledge tracing, longitudinal approaches) that power mastery and progression features for students and educators.
Role type
Senior Machine Learning Engineer (Learner Modeling)
Builds
Production learner models and data pipelines for mastery and progression capabilities
Domain
Education technology / Adaptive learning
Deliverable
production ML models
Required skills
sequence modeling, latent-variable modeling, temporal modeling, Bayesian methods, Python, production engineering, model evaluation (calibration, uncertainty, fairness, interpretability)
Preferred skills
recommender systems, psychometrics, educational measurement, structured knowledge representations (skills/concept graphs), experimental design
Technologies
Python
Responsibilities
Design and build learner models; shape data foundations and datasets; translate mastery definitions into model targets; build estimation and scoring approaches for sparse/noisy data; own production pipelines (training, scoring, monitoring); explain model behavior to partners
Seniority
Senior, hands-on IC
