Senior Machine Learning Engineer, Quizlet

• 4+ years of experience in machine learning and a proven track record of delivering impactful, production ML solutions at scale
• Deep understanding of machine learning approaches and techniques, as well as of product and user needs
• Proficiency in Python and production engineering best practices
• Deep experience in at least one of the following domains: computer vision, natural language processing, and ranking
• Proficiency with deep learning techniques and experience using machine learning frameworks such as Tensorflow or PyTorch
• 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
• Familiarity with the latest advancements in large language models (LLMs) and their applications in education

Desirable

• We are “full stack” ML data scientists here at Quizlet, involved in everything from ideation to prototype research to technical implementation
• 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
• 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
• Continuously evaluate and improve both new and existing ML/AI models and products
• Provide technical leadership and mentorship to junior members