Snap:Research Scientist, Computer Vision
Los Angeles, CA, United States
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
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