About the role
About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of Learning Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.
About
the Team: The AI & Data Platform team builds the foundation that powers all data and machine learning at Quizlet. Our focus is on creating scalable, reliable, and efficient systems that enable teams across the company to develop and deploy high-impact, AI-driven products. We prioritize operational excellence and leverage best-in-class DataOps and MLOps technologies to accelerate innovation.
About
the Role: We’re hiring Data Platform Engineers across multiple levels (Staff - Principal Engineer), with leveling determined through the interview process. In this role, you’ll design and build the infrastructure that supports large-scale data processing and machine learning workflows. You’ll partner closely with Data Science, ML Engineering, and Product teams to deliver systems that are reliable, scalable, and easy to use. Success in this role is measured by platform reliability, developer experience, and adoption across teams. We’re happy to share that this is an onsite position in either our Denver, San Francisco, Seattle, or NYC. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. \n In this role, you will: Build and maintain data and ML infrastructure to support model training, deployment, and monitoring Design scalable data pipelines and systems (batch and real-time) Improve platform usability, tooling, and developer efficiency Drive reliability, observability, and automation across the platform Partner cross-functionally to define and deliver data solutions Contribute to technical design, code quality, and best practices What you bring to the table: Experience building and operating data or ML platforms in production Strong background in distributed systems, data pipelines, and cloud infrastructure Familiarity with tools such as Airflow, dbt, GCP, Kubernetes, or similar Track record of improving system reliability and efficiency Strong collaboration and problem-solving skills