Job Overview:

We are seeking an AI/ML Research intern to support our team in developing and optimizing student response modeling systems. The intern will be using machine learning and statistical approaches, and focusing on difficulty modeling across various assessment types.

Job Responsibilities:

Analyze large datasets of student responses to identify patterns in question difficulty
Develop and validate statistical models to student responses
Collaborate with assessment specialists to incorporate subject matter expertise
Document methodology and findings for stakeholder communication

Internship Requirements:

Current graduate student in Data Science, Education, or related fields
Proven Python programming skills (pandas, transformers)
Experience with statistical modeling and machine learning
Understanding of educational assessment concepts preferred
Excellent analytical and problem-solving abilities

Why Work With Us?

When you work with Cambium Assessment, you’ll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.

Our ground breaking work includes:

Advanced computer-adaptive algorithms
Mobile support of user interfaces
Learning management systems with social media features
Universally accessible user interfaces
Machine scorable items

In the 2021–2022 school year, we delivered more than 100 million online tests, successfully supported peak testing volumes exceeding 1.3 million simultaneous test takers, while ensuring an average response time of less than a tenth of a second. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.com

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, age, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

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AI/ML Research Intern