• 4+ years of experience in machine learning and a proven track record of delivering impactful, production ML solutions at scale
• 2+ years of experience working with machine learning techniques to enhance monetization strategies
• Deep understanding of machine learning approaches and techniques, as well as of product and user needs
• Proficiency in Python and production engineering best practices
• Strong problem-solving skills and the ability to develop innovative solutions to complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
• Passion for education and a strong interest in leveraging technology to enhance the learning experience for students

Desirable

• Quizlet’s Machine Learning team is core to Quizlet’s vision in being an AI tutor and go-to student app for everyone. We inspire, validate, build, and continuously improve ML/AI products to scale learning
• Some things we’ve worked on include personalized learning experiences by modeling how students learn, smart assessment, and advanced questions. We make use of our vast UGC study content, unique data of billions of study interactions, learning science, diverse domain expertise, cutting edge ML, and generative AI
• We are “full stack” Machine Learning Data Scientists here at Quizlet, involved in everything from ideation to prototype research to technical implementation
• This role is part of the monetization team, where you will collaborate with Machine Learning Engineers, Data Scientists, and Product Engineers to enhance and personalize our monetization strategy
• Envision, research, develop, and improve high impact ML/AI driven products and features, collaborating closely with cross-functional teams
• Build and maintain production Python services used by over 50M students and teachers around the world every month
• Stay up-to-date with the latest advancements in ML/AI and educational technology to ensure that our platform remains at the forefront of innovation
• Help to continuously evaluate and improve both new and existing ML/AI models and products
• Provide technical leadership and mentorship to junior members