Snap Inc.-posted 1 day ago
Full-time • Mid Level
Onsite • Los Angeles, CA
1,001-5,000 employees

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. Snap Research serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap’s 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 Snap’s 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.

  • Define, lead and execute a multi-year research agenda
  • Architect and implement 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
  • Strong technical knowledge of statistics, machine learning, vision and state-of-the-art deep learning literature
  • Proven record of defining, leading and executing challenging research projects
  • Strong computer science fundamentals, problem solving skills, programming (Python, C, C++)
  • Proven ability to lead interns, PhD students, junior researchers or ML engineers
  • PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience
  • 2+ years of industry or postdoc experience with large scale generative AI, building foundational models, and large model training in academia or industry
  • Experience with large scale, distributed training across hundreds of machines and cloud computing
  • Experience with large-scale data collection and annotation best practices
  • Track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH)
  • 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
  • paid parental leave
  • comprehensive medical coverage
  • emotional and mental health support programs
  • compensation packages that let you share in Snap’s long-term success!
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