Senior AI & Data Platform Engineer

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month,  including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.

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.

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

 

The AI & Data Platform team's mission is to build and maintain a rock-solid, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the bedrock upon which our AI ambitions are built. As we consolidate our AI efforts to create a unified and powerful product portfolio, the platform team's primary focus is on achieving operational excellence. We aggressively buy and leverage best-in-class MLOps and DataOps technologies to accelerate the pace of innovation across Quizlet.

 

 

As a Senior AI & Data Platform Engineer, you’ll play a critical role in designing and building Quizlet’s next-generation analytical data and machine learning infrastructure. You’ll partner with teams across Data Science, ML Engineering, and Product to deliver scalable, reliable, and efficient systems that enable the development and deployment of AI-powered features.

 

You’ll measure success through platform reliability, developer experience, and adoption across teams. This is an opportunity to work with cutting-edge technologies and contribute to the foundation that powers Quizlet’s AI roadmap.

 

We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require employees to 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.