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Sr. Staff Engineer, AI and Data Platform
QuizletSan Francisco, United Statesfull_timeVerifiedPosted 16 Aug 2025
💰 $280,000/yr($230,000/yr – $280,000/yr)
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 LearningJoin 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 a Sr. Staff Engineer for the AI & Data Platform, you will serve as the technical authority and visionary for Quizlet's machine learning and data infrastructure. You'll tackle our most complex technical challenges, architecting the foundational platform that enables the entire company to build and deploy intelligent features with speed and confidence.
Your leadership will be pivotal in transforming our infrastructure to support the next generation of AI at Quizlet, from personalization and recommendations to generative and agentic systems. You will be the technical lead for a talented team of engineers, guiding the architecture and execution of the systems that manage the entire lifecycle of data and models at Quizlet. Your work will directly empower our product teams to turn Quizlet into a personalized, AI-powered coach that drives user engagement, retention, and monetization.
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.
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 LearningJoin 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 a Sr. Staff Engineer for the AI & Data Platform, you will serve as the technical authority and visionary for Quizlet's machine learning and data infrastructure. You'll tackle our most complex technical challenges, architecting the foundational platform that enables the entire company to build and deploy intelligent features with speed and confidence.
Your leadership will be pivotal in transforming our infrastructure to support the next generation of AI at Quizlet, from personalization and recommendations to generative and agentic systems. You will be the technical lead for a talented team of engineers, guiding the architecture and execution of the systems that manage the entire lifecycle of data and models at Quizlet. Your work will directly empower our product teams to turn Quizlet into a personalized, AI-powered coach that drives user engagement, retention, and monetization.
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:
- Architect, design, and execute the technical roadmap for Quizlet’s AI and data platform, directly enabling key business metrics like Engaged Learners and Revenue Growth
- Set the technical direction and provide mentorship to a high-performing team of software engineers, fostering a culture of operational rigor, innovation, and high-impact execution
- Spearhead the technical strategy for our MLOps and DataOps foundation, making critical build vs. buy decisions to improve developer velocity and system reliability
- Own the end-to-end technical lifecycle of the platform that powers all machine learning at Quizlet. Which includes: Data Platform: Managing offline ETL and analytics platforms, online and streaming data ingestion, and the business intelligence and experimentation tools that democratize data access
- Model Platform: Overseeing the infrastructure for model training, feature management, inference, ranking, retrieval, and ML operations for both recommendation and generative AI models
- Drive technical excellence in building scalable, reliable, and cutting-edge infrastructure, targeting uptime of >99.95% for critical pipelines and improving the measurable quality and freshness of our data assets
- Partner closely with leaders in Product, Applied AI, and Data Science to deliver on a shared vision of an AI-driven learning experience
- Influence the technical direction of the broader engineering organization by establishing best practices for building, deploying, and maintaining software and ML systems at scale
What you bring to the table:
- B.S., M.S., or Ph.D. in Computer Science or a related quantitative field
- 8+ years of industry experience in software engineering with a track record of architecting and launching large-scale, business-critical infrastructure, such as data platforms, MLOps systems, or distributed services
- Proven experience setting the technical direction for a team and driving consensus on complex, ambiguous engineering challenges
- Deep technical expertise in modern data and ML infrastructure, including data processing frameworks (e.g., Spark, Flink), MLOps tooling (
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