Principal Engineer, Personalization & Recommendation
Principal Engineer, Personalization & Recommendation
Posted on :
17-08-2025
Employer Active
1 Vacancy
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Monthly Salary
$ 220000 - 300000
Vacancy
1 Vacancy
Posted on :
17-08-2025
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. Were energized by the potential to power more learners through multiple approaches and various tools.
Lets 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 Applied AI teams mission is to invent and deploy the next generation of intelligent personalized and adaptive learning experiences that will define the future of Quizlet. This team represents a major investment and consolidation of our AI efforts created to move from siloed features to a unified and powerful product portfolio. We are accountable for driving the majority of Quizlets business growth and building a product that is recognized externally as best-in-class.
About the Role:
As the Principal Engineer for Personalization & Recommendation Systems you will serve as the technical authority and visionary for building a deep holistic understanding of our learners. You will tackle our most complex technical challenges architecting the core intelligence of our product to transform Quizlet from a memorization tool into a personalized AI-powered coach that drives user engagement retention and monetization.
Additionally youll be the technical lead for a team of talented engineers guiding the architecture and execution of recommendation and matching systems that connect students to the most relevant content across our entire platform. This includes: search ads and our content feed. Your technical leadership will be pivotal in shaping the future of AI at Quizlet.
Were 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 all personalization and recommendation initiatives directly contributing to Quizlets 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 $220000 - $300000 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
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 peoples 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 were excited about passionate people joining our teameven if you dont 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.
Quizlets 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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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