• Support CAI’s innovation in natural language applications in support of our mission to improve educational outcomes for our students and educators • This includes automated scoring in large scale assessment programs (for writing, speech and other areas of educational measurement), detection of crisis alert content in student writing and the use of ML for feedback in student writing • Support CAI’s emerging product portfolio for products that employ state of the art machine learning methods that provide solutions to real world problems in K-12, higher education and other related domains • Contributes to R&D agenda and sets priorities for the automated scoring team • Drive and provide mentorship to the data scientists in our team • Design and implement studies to obtain, score, model, and examine results for any of CAI’s current natural language applications, including automated scoring, crisis alert detection, and feedback • Pursue applied research to actively publish and represent CAI’s leadership in this area • Present at conferences and technical advisory committee meetings