VP of Machine Learning – Data & AI

VP of Machine Learning – Data & AI

Requirements

• 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
• 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

Responsibilities

• 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
• 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
• 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

Preferred Qualifications

• 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