Join Quizlet's Personalization & Recommendations ML Engineering team to design and build large-scale retrieval, ranking, and recommendation systems that directly shape how learners discover and engage with Quizlet. As a Senior or Staff Machine Learning Engineer, you'll collaborate closely with product managers, data scientists, and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction, and measurable learning outcomes.
Requirements
- Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals, and content features
- Develop scalable retrieval and serving systems using architectures such as Two-Tower, deep ranking, and ANN-based vector search for real-time personalization across surfaces
- Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, and robust monitoring
- Partner closely with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experimentation plans
- Advance evaluation methodologies, refining offline metrics (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
- Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost at scale
- Contribute to the long-term technical vision for personalization and recommendations, aligning modeling strategy with Quizlet’s AI and product roadmaps
- Stay current with RecSys research and industry trends, bringing relevant advances from top conferences (KDD, WSDM, SIGIR, RecSys, NeurIPS) into production
- Mentor other engineers and applied scientists, fostering technical growth, experimentation rigor, and responsible ML practices
- Champion collaboration, inclusion, and curiosity, helping build a team culture that values diverse perspectives and data-driven problem-solving
Benefits
- Competitive health, dental, and vision insurance
- 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
- 20 vacation days
- 40 hours of annual paid time off to participate in volunteer programs of choice
