Research Scientist, Generative AI

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 Companyu2019s 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 (. Snap Research ( serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snapu2019s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snapu2019s products. We are looking for a Research Scientist to join the Creative Vision Research Team At Creative Vision, we focus on making everyone into a creator. We believe creativity is achieved when technology understands the world, humans and objects, provides a range of creative generation and manipulation tools and efficient real-time experiences. Our technology impacts and contributes to multiple products at Snap. What youu2019ll do: + Lead and execute a multi-year research agenda + Work on large-scale multimodal generative projects + Share your expertise with other teammates and interns + Publish your work to top conferences + Partner with engineering teams to deliver your technology to millions of Snapchatters Knowledge, Skills, & Abilities: + Strong technical knowledge of statistics, machine learning, vision and state-of-the-art deep learning literature + Demonstrated ability in defining, leading and executing challenging research projects + Strong computer science fundamentals, problem solving skills, programming (Python, C, C++) + Ability to lead interns, PhD students, and junior researchers, defining scope of their projects and providing detailed technical guidance. Minimum Qualifications: + PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience + Strong theoretical foundations of generative AI and practical experience training, tuning, and modifying generative models + Track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH) Preferred Qualifications: + Experience with multimodal machine learning, involving images, videos, audio, text, speech + Experience with 3D computer vision, non-rigid and articulated 3D registration and synthesis + Experience with efficient Gen AI techniques, such as quantization, pruning, distillation, efficient training for generation and understanding, parameter- and data-efficient learning, and efficient VLMs + Experience with low level vision techniques, such as image and video quality assessment, compression, restoration, and super-resolution + Experience with 3D Articulated human motion generation + Experience with CUDA framework and low level optimization of generative pipelines for training and inference + Strong theoretical background in generative modeling and diffusion models If you have a disability or special need that requires accommodation, please donu2019t be shy and provide us some information (.

Created: 2026-01-09