- Hours
- Full time
- Where
- Bellevue, Washington
- Posted
- Sep 1
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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
We are looking for a Research Scientist Intern to join our User Modeling and Personalization Research Team! 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 structured da…
What you'd do
- Lead research projects in the user modeling and personalization domains (sub-areas include graph modeling, generative recommendation, personalization, and ML efficiency)
- Build scalable research prototypes and evaluate them in large-scale machine learning scenarios
- Publish your findings at top conferences
- Strong technical knowledge of state-of-the-art ML algorithms in one or more above sub-areas
- Demonstrated ability in defining, leading and executing challenging research projects
- Strong computer science fundamentals, problem-solving and engineering skills
- Proven ability to mentor interns, students and junior researchers
What they want
- Currently enrolled in a PhD program in a technical field such as computer science, machine learning, statistics, mathematics, or equivalent years of experience
- Track record of (co-)first-author publications in top machine learning, data mining, information retrieval or language venues (e.g. KDD, WSDM, SIGIR, RecSys, ACL, ICLR, NeurIPS, COLM etc.)
- Strong familiarity with ML libraries such as PyTorch, Tensorflow, Jax or related frameworks
- Experience with distributed (multi-GPU, or multi-node) model training, inference and experimentation; experience with large-scale settings in academic/industrial research labs is a plus
- Starts
- 2026-09-01