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VP of Machine Learning, Data & AI

About Quizlet:


Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.  


Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.


Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.  


To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.


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.


About the Role: Lead Quizlet’s AI & Data Engineering 


We’re seeking a visionary and hands-on leader to drive the next wave of innovation in learning. As VP of Machine Learning, Data & AI, you will set the strategic direction, scale high-performing teams, and deliver real product impact across millions of learners.


You’ll lead everything from ML infrastructure and personalization to generative AI, content understanding, and internal AI adoption. You’ll also oversee our data platforms, analytics, and data science functions — powering intelligent learning systems and organizational insights.


You'll be responsible for building and leading our ML infrastructure, applied AI development across Quizlet experiences, personalization systems, search and discovery capabilities, and guiding internal AI adoption. This technical leadership role will drive innovation in generative AI, natural language processing, LLMs, image generation, adaptive learning, and predictive modeling while establishing scalable data science practices throughout the organization.


In addition to leading a world-class team, you will influence business and technical strategies to solidify Quizlet's position as the leading learning platform powered by AI, as we continue our quest to revolutionize education worldwide.


We’re happy to share that this is an onsite position. To help foster team collaboration, we require that employees be in the office at a minimum of three days a 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:
  • Technical & Strategic Leadership: Drive ML/AI infrastructure development to ensure reliable, scalable systems that power Quizlet experiences
  • Establish rigorous quality standards and evaluation frameworks for all AI systems
  • Build comprehensive testing, monitoring, and validation processes to ensure AI system accuracy and reliability
  • Set product and business strategy through AI innovation, representing learning science, data science, and machine learning at the executive level
  • Lead the development of personalization engines, search systems, and recommendation algorithms that enhance learning outcomes
  • Drive bold, high-impact decisions backed by data and experimentation
  • Create a technical roadmap for AI adoption across the organization

Team & Organization Building
  • Build and develop high-performing teams across ML engineering, data science, and AI research
  • Foster a builder culture that emphasizes execution excellence, lean innovation, and rapid development
  • Guide internal AI education and adoption, creating systems for knowledge sharing and capability building
  • Create collaborative partnerships with product, engineering, design, and business teams
  • Establish frameworks for AI experimentation, evaluation, and deployment

Product Impact & Innovation
  • Lead applied AI initiatives that directly enhance user experiences across all Quizlet products
  • Oversee development of next-generation learning features powered by generative AI and LLMs
  • Implement systematic evaluation methods to measure AI system effectiveness and learning outcomes
  • Establish quality benchmarks and performance standards for all AI-powered features
  • Drive measurable improvements in core metrics through AI-powered experiences
  • Balance existing capabilities with exploration of emerging AI technologies
  • Guide ongoing product decisions to drive confidence in long-term AI investments


What you bring to the table:
  • Technical Expertise: Deep technical background in applied machine learning and AI, spanning areas such as LLMs, generative AI, recommendation systems, and search algorithms
  • Extensive experience building and scaling ML infrastructure to support production AI applications
  • Expert in AI quality assurance, evaluation methodologies, and performance metrics
  • Strong understanding of experimentation, causal methods, statistics, optimization techniques, and machine learning at scale
  • Experience implementing robust AI governance, validation processes, and bias mitigation
  • Experience leading teams delivering consumer-facing AI products
  • Ability to balance technical innovation with practical implementation and quality standards

Leadership & Communication
  • Proven track record leading engineering and data science teams to deliver complex AI systems
  • Exceptional communication skills with both technical and business stakeholders
  • Ability to translate complex AI concepts into clear strategies and actionable roadmaps
  • Experience guiding cross-functional teams in AI adoption and implementation
  • Strategic thinking at the executive level, with demonstrated business impact

Required Experience
  • 8+ years of experience in machine learning, data science, or AI development
  • 5+ years leading teams building ML/AI products at scale
  • Demonstrated expertise in AI system evaluation, quality assurance, and performance optimization
  • Experience developing comprehensive testing frameworks for complex AI systems
  • Experience developing and deploying AI systems with direct user impact
  • Track record of successful AI infrastructure development and scaling
  • Experience with AI education and organizational capability building


Bonus points if you have:
  • Experience with educational technology or learning science applications of AI
  • Background in natural language processing, particularly with applications to educational content
  • Experience building personalization systems that improve over time
  • Passion for making learning more effective and accessible through technology
  • Completion of advanced study or research in relevant fields combining AI and learning


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 $260,000 - $350,000, depending on location and experience, as well as company stock options
  • This role is eligible for a bonus
  • Collaborate with your manager and team to create a healthy work-life balance
  • 20 vacation days (and we expect you to take them!)
  • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, 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

🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science

📈 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


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.

📩 Apply now or reach out to our team to learn more.




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:


We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.


We have a bias for action, take initiative, and take pride in delivering results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

 

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.


Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. 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.


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CEO of Quizlet
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What You Should Know About VP of Machine Learning, Data & AI, Quizlet

At Quizlet, we're on a mission to make learning accessible and engaging for everyone, and we’re currently looking for a VP of Machine Learning, Data & AI to help lead the charge in our San Francisco office. In this dynamic role, you’ll take the reins on driving innovation across our machine learning and AI initiatives. Imagine setting the strategic direction for our data and AI capabilities that impact millions of learners daily! As our VP of Machine Learning, Data & AI, you will oversee everything from the architecture of our ML infrastructure to the development of personalization engines that cater to individual learning needs. You'll work closely with cross-functional teams to implement cutting-edge generative AI technologies and ensure our data platforms are robust and scalable. Collaboration is at the heart of what we do at Quizlet, and as a leader, you’ll foster a high-performing team culture that embraces growth, experimentation, and learning. This isn’t just a job; it’s an opportunity to redefine how learners engage with education technology and reshape the future of learning. Not to mention, you’ll play a crucial role in establishing frameworks that promote organizational learning and AI adoption. So if you’re ready to make a real impact in the ed-tech space and lead a team full of talented and driven individuals, we invite you to bring your expertise and passion to Quizlet!

Frequently Asked Questions (FAQs) for VP of Machine Learning, Data & AI Role at Quizlet
What are the main responsibilities of the VP of Machine Learning, Data & AI at Quizlet?

As the VP of Machine Learning, Data & AI at Quizlet, your primary responsibilities will include leading the development of ML infrastructure, implementing AI-driven personalization systems, and overseeing data analytics functions. You'll also set strategic directions for innovation in generative AI and ensure the effective use of AI technologies to enhance user experiences across Quizlet products.

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What qualifications are required for the VP of Machine Learning, Data & AI role at Quizlet?

To qualify for the VP of Machine Learning, Data & AI position at Quizlet, candidates should have a minimum of 8 years of experience in machine learning, data science, or AI development, with at least 5 years in a leadership role. A deep technical understanding of AI systems, experience in scaling ML technologies, and a proven track record of managing teams are essential for success in this role.

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How does the VP of Machine Learning, Data & AI contribute to Quizlet's mission?

The VP of Machine Learning, Data & AI plays a crucial role in advancing Quizlet’s mission to make learning accessible. By driving innovation in AI technologies and personalization, you will enhance learning outcomes for students worldwide. This position directly impacts the effectiveness of Quizlet’s educational tools, ensuring they cater to diverse learning needs.

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What kind of team will the VP of Machine Learning, Data & AI be leading at Quizlet?

In this role, you will lead a talented team of machine learning engineers, data scientists, and AI researchers at Quizlet. You’ll be responsible for building a high-performing culture that encourages innovative thinking, collaboration, and effective execution of AI initiatives aimed at improving user experiences.

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What is the work environment like for the VP of Machine Learning, Data & AI at Quizlet?

Quizlet promotes a collaborative and energetic work environment. As the VP of Machine Learning, Data & AI, you will work onsite at least three days a week, fostering teamwork and enhancing productivity. The company values diversity, inclusion, and personal growth, ensuring that all employees thrive in their roles.

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Common Interview Questions for VP of Machine Learning, Data & AI
Can you describe your experience with building machine learning infrastructure?

When answering this question, focus on specific projects where you implemented machine learning infrastructure. Highlight the technologies you used, the challenges you faced, and how you ensured scalability and reliability in production environments. Providing quantifiable results, such as improved performance metrics, will strengthen your response.

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How do you approach AI system validation and quality assurance?

In your answer, explain your methodology for validating AI systems. Discuss the importance of robust testing and monitoring processes, and provide examples of how you've established quality benchmarks in past roles. Mention any tools or frameworks you’ve utilized to ensure the reliability and effectiveness of AI systems.

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What strategies do you use to foster collaboration between engineering and data science teams?

Discuss specific strategies that encourage synergy between teams, such as regular cross-functional meetings, shared goals, and collaborative projects. Highlight the role of communication in breaking down silos and how you ensure that insights from data science inform engineering decisions, resulting in more cohesive product development.

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How do you implement personalization in AI systems?

Explain the techniques you've employed to create personalization engines, including data collection methods, algorithm selection, and user feedback mechanisms. Provide examples of successful personalization projects, detailing how these changes positively impacted user engagement and learning outcomes.

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What experience do you have with generative AI technologies?

Discuss your familiarity with generative AI applications, focusing on specific projects where you've leveraged these technologies. Be sure to mention the outcomes achieved through generative AI implementations and any innovations you contributed that enhanced user experience.

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Can you share an example of a challenging AI problem you solved?

Choose a specific and challenging AI problem you faced in your previous experience. Describe the problem, your analysis and approach to finding a solution, and the ultimate result. Emphasize your analytical skills and ability to drive innovation in complex situations.

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What role do you think AI plays in the future of education technology?

Reflect on AI's potential to deeply personalize the learning experience. Discuss how ML models can adapt content delivery, optimize study paths, and analyze learner engagement. Emphasize your vision for how AI will shape accessible and effective educational tools in the future.

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How do you measure the success of AI-powered products?

Explain key performance indicators you use to assess the effectiveness of AI products, such as user engagement rates, learning outcomes, and overall satisfaction. Talk about gold standards for evaluation as well as methods to gather user feedback that inform product iterations.

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What are your thoughts on bias in AI, and how do you address it?

Discuss your awareness of AI bias and its implications on user outcomes. Share strategies you’ve implemented to mitigate bias, such as diverse training data, regular audits of AI models, and techniques to ensure ethical AI practices.

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How do you stay updated with the latest advancements in AI and machine learning?

Share your favorite resources, such as academic journals, online courses, and industry conferences, where you keep abreast of the latest trends and technologies. Emphasize your commitment to continuous learning and how this knowledge benefits your team and projects at Quizlet.

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Helping students (and their teachers) practice and master whatever they are learning.

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DATE POSTED
April 4, 2025

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