Quizlet

Senior AI & Data Platform Engineer

Quizlet • US
About Quizlet:

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.

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'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.

About the Role:

About the Role
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.

In this role, you will:

  • Build and maintain ML and data infrastructure to support large-scale model training, deployment, and monitoring
  • Collaborate with Product Management, Analytics, and Engineering teams to design data systems that meet diverse needs
  • Develop and optimize tools that improve developer efficiency and data platform usability
  • Implement scalable and resilient data ingestion and processing systems (real-time and batch)
  • Contribute to platform reliability, observability, and automation improvements
  • Participate in design and code reviews, sharing best practices and mentoring peers
  • What you bring to the table:

  • 5–8+ years of experience building and maintaining large-scale data or ML platforms in production environments
  • Strong experience with distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores)
  • Experience contributing to best practices for reliability and efficiency in data workflows
  • Strong problem-solving and collaboration skills
  • Bonus points if you have:

  • Experience with cross-cloud data infrastructure or hybrid orchestration
  • Contributions to open-source data/ML tooling or frameworks
  • Demonstrated impact improving developer experience or data reliability
  • Compensation, Benefits & Perks:

  • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps.  Total compensation for this role is market competitive, including a starting base salary of $204,000 - $239,000, depending on location and experience, as well as company stock options
  • Collaborate with your manager and team to create a healthy work-life balance
  • 20 vacation days that we expect you to take!
  • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
  • Employer-sponsored 401k plan with company match
  • Access to LinkedIn Learning and other resources to support professional growth
  • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
  • 40 hours of annual paid time off to participate in volunteer programs of choice