Principal Scientist
Core
Leading machine learning research and development for automated scoring, feedback, and crisis alert detection in educational assessments using deep learning and NLP.
Role type
Principal Scientist (Individual Contributor, Research & Strategy)
Builds
Scalable ML engines and models for automated scoring, feedback, and content safety in K-12 and higher education assessments.
Domain
Educational Technology / Natural Language Processing / Psychometrics
Deliverable
production ML models
Required skills
Deep neural networks, transformer-based architectures, large-scale assessment, NLP, research design, team mentorship, technical publishing
Preferred skills
None stated
Technologies
Deep learning frameworks, transformer architectures
Responsibilities
Set R&D priorities for automated scoring, design studies for modeling and scoring results, mentor data scientists, publish applied research, present at conferences
Seniority
Principal, hands-on IC with strategic guidance
