Hitalent
Snap:Research Scientist, Computer Vision
Hitalent, Los Angeles, California, United States, 90079
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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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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