Grammarly's summer internship program included 29 machine learning interns, who worked on impactful projects from day one, gaining hands-on experience with mentorship. Highlights include Kelly Deng's multiclass classification model for user intent, Priyam Basu's evaluation of AI bias detection, and Sameer Komoravolu's agent-testing agents. Each intern experienced significant personal and professional growth, learning about collaboration, feedback, and adapting to industry pace. The program's projects advance Grammarly's mission, with insights leading to future research and model deployment. Interested candidates can apply for next year's internship through Grammarly's careers page.
Behind the Scenes: What Our Machine Learning Interns Built This Summer
