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Position: Research Scientist, 3D Computer Vision & Machine Learning (PhD)
Institution: Meta
Location: London, United Kingdom
Duties: Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, multimodal reasoning and generative approaches; Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results; Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning; Contribute to publications and open-sourcing efforts
Requirements: Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Computer Science, Mathematics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta; Experience communicating research for public audiences of peers; Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python), including experience with modern ML methods and algorithms; Hands-on experience implementing 3D computer vision algorithms and training/evaluating ML and AI models
   
Text: Research Scientist, 3D Computer Vision & Machine Learning (PhD) Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, multimodal reasoning and generative approaches; Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results; Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning; Contribute to publications and open-sourcing efforts Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Computer Science, Mathematics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta; Experience communicating research for public audiences of peers; Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python), including experience with modern ML methods and algorithms; Hands-on experience implementing 3D computer vision algorithms and training/evaluating ML and AI models
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