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), ExploreLearning® (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.

Job Overview:

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. This project will involve: building predictive models to estimate the difficulty of reading language arts and mathematics items using fine-tuned large language models and traditional machine learning techniques; incorporating predictions into Bayesian priors that can be integrated with standard IRT parameter estimation methods; and evaluating predictive models using standard metrics such as RMSE.

Job 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

Job Requirements:

• Enrolled in a data science, computer science, mathematics, linguistics, psychometrics, or educational measurement Master’s or Ph.D. program

• Experience working with text and natural language processing tools

• Coding ability with Python and R

• Familiarity with item response theory, and Bayesian statistics preferred

• Ability to work independently and collaborate effectively within a team

To apply for this opportunity, simply click on the “Apply” button and submit a cover letter and resume.

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.