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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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