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, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), Explore Learning® (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science).

We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.

Job Location:

Fully remote. Candidates must reside and work within the United States.

We are looking for a summer intern to join our machine learning team. This team focuses on the modelling of 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 the performance of automated scoring of Spanish items using standard industry metrics such as QWK, accuracy, and SMD.

• 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.

• Enrolled in a data science, computer science, mathematics, linguistic, 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.

An Equal Opportunity Employer We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

Cambium Learning® Group is the education essentials company. With an intentionally curated portfolio of respected global brands, Cambium serves as a leader in the education space, helping millions of educators and students feel more universally valued each and every day. In everything we do and across all our brands, we focus on the elements that are most essential to the success of education Our family of companies includes:
Cambium Assessment Lexia® Learning Learning A-Z® Voyager Sopris Learning® Explore Learning® Time4

Learning® Kurzweil Education®. To learn more about the Cambium organization and our other career opportunities, visit  As a group, we value:
Simplicity
- Across all our teams and all areas of our business, we create simplicity, making things easier and more clear for all those we work with. Certainty
- We continually strive to eliminate doubt, delivering solutions, services and communications that our customers know they can count on. Now
- We understand the need to make a difference not only for the future, but for today, and our people are committed to making the most of each moment we spend serving our customers.