Principal Scientist

Job Overview Cambium Learning Group is an educational technology solutions leader that helps students reach their potential through individualized instruction. As a Principal Scientist at CAI, you will be part of the machine learning team that focuses on natural language applications in educational measurement, including automated scoring of student responses, automated feedback, and crisis alert detection. You will provide guidance on AI advancements, especially deep neural networks and transformer-based architectures, and work closely with team leads on developing new applications and building scalable architecture. Job Responsibilities Support CAI’s innovation in natural language applications to improve educational outcomes. Work on automated scoring in large scale assessment programs (writing, speech, etc.). Detect crisis alert content in student writing and apply ML for feedback. Contribute to the R&D agenda and set priorities for the automated scoring team. Drive and mentor data scientists in the team. Design and implement studies to obtain, score, model, and examine results for CAI’s natural language applications. Pursue applied research and publish findings to represent CAI’s leadership. Present at conferences and technical advisory committee meetings. Job Requirements Ph.D. in applied mathematics, statistics, or a related computational field. Experience working with deep neural networks and transformer-based architectures. Professional experience in large scale assessment or EdTech. 5+ years working with teams of software developers, NLP scientists, and data scientists. Published research history in AI applications within large scale assessment. 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, sexual orientation, national origin, protected veteran status, or disability. #J-18808-Ljbffr