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Snap:Research Scientist, Computer Vision
1 month ago
Lead and execute a multi-year research agenda 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++) Proven ability to lead interns, PhD students, and junior researchers Minimum Qualifications: PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience Experience with large scale generative computer vision, machine learning, deep learning, or graphics in an academic or industrial research lab Track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH) Preferred Qualifications: Proven ability to impact product with cutting edge research technology Experience with multimodal machine learning, involving images, videos, audio, text, speech Knowledge of 3D computer vision, non-rigid and articulated 3D registration and synthesis Experience with large-scale data collection and annotation best practices #J-18808-Ljbffr
