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:
As an AI & Data Platform Engineer, you will help lead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and designed for long-term success. You’ll partner closely with cross-functional teams to define technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product. This role requires strong technical depth, strategic thinking, and the ability to deliver systems that accelerate ML and Data innovation. You will measure success through platform adoption, reliability improvements, and developer productivity outcomes.
We’re happy to share that this is an onsite position in our San Francisco office. 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.
In this role, you will:
Accelerate and amplify the work of our Machine Learning Engineers by building ML infrastructure that streamlines the development, testing, and deployment of machine learning models to productionCollaborate with cross-functional teams, including Product Management, Data Analytics, and Product Engineering, to build systems that support a diverse range of data needsBuild tools and services that improve developer efficiency and platform usabilityEnable the ingestion and processing of large-scale data, from real-time streaming to batch processing, by developing and implementing scalable and resilient services, platform, and infrastructureOwn projects end-to-end, from conceptualization to launch and deploymentPartner with Product Engineers and Data Scientists to ensure that critical data is delivered to its destination with maximum availability, recoverability, and operational efficiencyDesign and deliver reliable data and ML infrastructure, contributing to the team’s roadmap and collaborating across functions to enable data-driven features and insights
What you bring to the table:
5-8+ years of experience building and maintaining large-scale data or ML platforms in production environmentsExperience contributing to team-wide best practices and advocating for reliability and efficiency in data workflowsDeep experience with distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores)Excellent communication skills with the ability to influence and align diverse stakeholders
Bonus points if you have:
Experience owning platform architectureExpertise in cross-cloud data infrastructure or hybrid orchestrationContributions to open-source data/ML tooling or internal frameworksDemonstrated impact on developer experience or data reliability culture
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 - $285,000, depending on location and experience, as well as company stock optionsCollaborate with your manager and team to create a healthy work-life balance20 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 matchAccess to LinkedIn Learning and other resources to support professional growthPaid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits40 hours of annual paid time off to participate in volunteer programs of choice
