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 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 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 (e.g., Kubeflow, MLflow, Tecton), container orchestration (Kubernetes), and cloud services (GCP/AWS)
Demonstrated success in mentoring and developing senior engineering talent
A strong strategic and product-oriented mindset, with the ability to translate high-level business needs into a clear, actionable technical architecture
Bonus points if you have:
Experience building platforms to support Generative AI, Large Language Models (LLMs), or agentic systems (e.g., managing prompt libraries, evaluation harnesses, and vector databases)
A track record of significant contributions to open-source projects in the MLOps, data, or infrastructure space
Experience in the EdTech or consumer mobile space
Experience building and maintaining a modern MLOps stack for feature management, model training, and inference
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 $230,000 - $280,000, 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?
🌎 Massive reach: 60M+ users, 1B+ interactions per week
📈 Strong momentum: Top-tier investors, sustainable business, real traction
🎯 Mission-first: Work that makes a difference in people’s lives
🤝 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.
Diese Cookies sind für das Funktionieren der Website erforderlich und können in unseren Systemen nicht abgeschaltet werden. Sie können Ihren Browser so einstellen, dass er diese Cookies blockiert, aber dann könnten einige Teile der Website nicht funktionieren.
Sicherheit
Benutzererfahrung
Zielgruppenorientierte Cookies
Diese Cookies werden über unsere Website von unseren Werbepartnern gesetzt. Sie können von diesen Unternehmen verwendet werden, um ein Profil Ihrer Interessen zu erstellen und Ihnen an anderer Stelle relevante Werbung zu zeigen.
Google Analytics
Google Ads
Wir benutzen Cookies
🍪
Unsere Website verwendet Cookies und ähnliche Technologien, um Inhalte zu personalisieren, das Nutzererlebnis zu optimieren und Werbung zu indvidualisieren und auszuwerten. Indem Sie auf Okay klicken oder eine Option in den Cookie-Einstellungen aktivieren, stimmen Sie dem zu.
Die besten Remote-Jobs per E-Mail
Schliess dich über 5'000+ Personen an, die wöchentlich Benachrichtigungen über Remote-Jobs erhalten!