Staff AI & Data Platform Engineer

Company: Quizlet
Location: San Francisco
Posted on: February 16, 2026

Job Description:

Job Description Job Description 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 a Staff 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 deep technical expertise, strategic thinking, and the ability to deliver systems that accelerate ML and data innovation at scale. You’ll 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 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: Accelerate and amplify the work of our Machine Learning Engineers by building ML infrastructure that streamlines the development, testing, and deployment of models to production Collaborate with Product Management, Data Analytics, and Product Engineering to build systems that support diverse data needs Architect, build, and scale core data and ML services with a focus on resiliency, security, and long-term maintainability Enable large-scale data ingestion and processing, from real-time streaming to batch workloads, ensuring performance and reliability Drive platform adoption across engineering and data teams, improving developer experience and operational efficiency Mentor engineers and influence best practices for reliability, scalability, and automation in data workflows Lead cross-functional initiatives and set technical direction for data and ML infrastructure at Quizlet What you bring to the table: 8 years of experience building and maintaining large-scale data or ML platforms in production environments Proven track record of leading technical architecture and influencing platform strategy Deep expertise in distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores) Experience designing reliable, observable, and cost-efficient infrastructure at scale Excellent communication skills with the ability to influence and align diverse stakeholders Bonus points if you have: Experience owning platform architecture and long-term roadmap definition Expertise in cross-cloud data infrastructure or hybrid orchestration Contributions to open-source data/ML tooling or internal frameworks Demonstrated 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 $195,000 - $260,000, 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 Why Join Quizlet? \uD83C\uDF0E Massive reach: 60M users, 1B interactions per week \uD83E\uDDE0 Cutting-edge tech: Generative AI, adaptive learning, cognitive science \uD83D\uDCC8 Strong momentum: Top-tier investors, sustainable business, real traction \uD83C\uDFAF Mission-first: Work that makes a difference in people’s lives \uD83E\uDD1D Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet. LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Keywords: Quizlet, Hayward , Staff AI & Data Platform Engineer, Engineering , San Francisco, California