Research Intern, User Modeling and Personalization

Snap Inc.•Los Angeles, CA

1d•$69,000 - $121,000•Onsite

About The Position

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 data modeling, recommendation systems, and 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.

Requirements

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
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

Nice To Haves

Experience with large-scale machine learning in an academic or industrial research lab, or equivalent open-source experience
Experience with distributed data processing and machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azure
Familiarity with language models and generative recommendation and retrieval
Demonstrated ability to transform cutting-edge research into tangible product improvements
Specialization and hands-on experience with state-of-the-art recommendation models and scalable machine learning technologies

Responsibilities

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