In this role, you will:
- Architect, design, and execute the technical roadmap for all personalization and recommendation initiatives, directly contributing to Quizlet’s key business metrics like Engaged Learners, Subscriber Conversion, and Revenue Growth
- Set the technical direction and provide mentorship to a high-performing team of 10+ machine learning and software engineers, fostering a culture of innovation and high-impact execution
- Spearhead the technical development of "User 360" - a comprehensive understanding of our learners derived from synthesizing behavioral signals, explicit inputs, and conversation history into rich user profiles and embeddings
- Own the end-to-end technical lifecycle of machine learning models that power all matching and ranking systems across the product (ads, search, feed), optimizing for both offline performance (e.g., NDCG) and online business impact (e.g., CTR, user satisfaction)
- Drive technical excellence in building scalable, reliable, and cutting-edge ML systems, tackling the most ambiguous and complex problems
- Partner closely with leaders in Product, Data Science, and the AI & Data Platform teams 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 and mentoring senior engineers
What you bring to the table:
- B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or a related quantitative field
- 10+ years of industry experience in software engineering with a track record of architecting and launching large-scale, business-critical recommendation, search, or personalization systems
- Proven experience setting technical direction for a team and driving consensus on complex engineering challenges
- Deep technical expertise in machine learning, including ranking models, collaborative filtering, deep learning, and representation learning (embeddings)
- 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 in the EdTech or consumer mobile space
- Experience applying Generative AI, Large Language Models (LLMs), or agentic systems to enhance recommendation and personalization
- A track record of publications in top-tier AI/ML conferences (e.g., RecSys, KDD, NeurIPS, ICLR)
- Experience building ML systems on 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 $220,000 - $300,000, depending on location and experience, as well as company stock options
- 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
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What We Do
Quizlet is a leading consumer learning brand that builds learning tools to inspire and empower students and teachers. Our team is already supporting a user base of over 60 million active users a month. We're also among the top 20 U.S. websites and top education apps for iOS and Android - and it's only the beginning. We’re a fast-growing Series C startup, valued at $1 Billion and backed by Union Square Ventures, Costanoa Venture Capital, Icon Ventures, Owl Ventures, Altos Ventures and General Atlantic.
With our massive reach and focus on delivering high-quality innovative learning tools, we're having a major global impact on education.