Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment! We are looking for a Research Engineering Intern to join our User Modeling and Personalization Research Team for a 16-week internship in Spring/Summer/Fall of 2026. Our team’s mission is to invent new ways to model user behavior, and empower our business partners to build world-class user-centric ML systems which shape personalized experiences across Snap. Our work spans the domains of user behavior understanding, structured data modeling, recommendation systems, and efficient large-scale machine learning. Together with you, we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them. What you'll do: Lead applied research and software engineering efforts for large-scale ML initiatives in the areas of graph modeling, generative recommendation, personalization, and/or efficiency Evaluate technical tradeoffs, perform code reviews and write high code-quality code Build robust, lasting, and scalable systems and iterate without compromising quality Partner with engineering teams to deliver your technology to millions of Snapchatters Learn and apply new software engineering skills
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Career Level
Intern
Education Level
Ph.D. or professional degree