Machine Learning Intern
Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, we deliver SaaS resources and instructional products that engage students and support teachers in fun, positive, safe, and scalable environments.
About the role
We are looking for a summer intern to join our machine learning team. This team focuses on modeling unconstrained text to help our educational assessment programs, primarily with transformer-based deep learning models. The work will consist primarily of comparing multiple approaches for automated scoring of Spanish constructed response items. This project will involve experimenting with multilingual language models, comparing multiple approaches for automated scoring of Spanish constructed response items, and evaluating performance using standard industry metrics such as QWK, accuracy, and SMD.
Responsibilities
- Work with our psychometricians and data scientists to define a research problem, design an experiment, implement the study, and write up results
- Write code in Python using machine learning frameworks and libraries to ingest and clean data, build models, and evaluate results
- Document, archive, and present work on the project
- Work as part of a multi-disciplinary team discussing methods and results of this project and others
Requirements
- Enrolled in a data science, computer science, mathematics, linguistics, or educational measurement Master’s or Ph.D. program
- Experience working with text and natural language processing tools
- Coding ability with Python
- Ability to work autonomously and collaborate effectively within a team
- Familiarity with written Spanish would be an asset
Candidates must reside and work within the United States.