Research Scientist Manager, ML and 3D Computer Vision Full-time

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AI-enabled AR and VR devices. The Surreal Vision group is seeking a Research Scientist Manager to lead a world-class team of Research Scientists and Engineers, to research and develop the next generation of egocentric machine perception functionalities that will enable contextual-AI-enabled AR devices. We do this by developing, and leveraging, Project Aria. This role focuses on researching and formulating a new generation of end-to-end, real-time, egocentric methods and models for identifying objects the wearer interacts with and why, as well as building 3D maps of relevant objects around them; using 3D computer vision and state of the art ML and genAI methods .

Research Scientist Manager, ML and 3D Computer Vision Responsibilities

• Manage a team of research scientists and research engineers, providing career guidance, regular feedback and tracking performance.
• Build and execute on a long-term vision and strategy for egocentric machine perception capabilities that can inform and provide long- and short-term situational context for AI-enabled devices.
• Build and execute on a plan for research and engineering in the necessary technologies including 2D and 3D object tracking, segmentation and recognition
• action recognition, hand and body tracking and spatial reasoning.
• Work with cross functional teams to achieve impactful outcomes. This includes product managers, operations teams, data scientists, and product partner teams, and engineering teams.

Minimum Qualifications

• Research and/or work experience in machine learning, deep learning, and computer vision in both 2D and 3D.
• Experience in Python, C/C++, system design.
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as CVPR, ECCV, ICCV, SIGGRAPH or similar.
• A PhD in computer science, mathematics or related field.
• 4+ years managing a team of research scientists and engineers

Preferred Qualifications

• Experience leading a team of research scientists and research engineers, in industry or academia, to both conduct both cutting-edge research as well as build systems that solve real-world problems
• Broad foundational knowledge on probability theory, analytics, 3D geometry and math
• Experience working on technologies including 2D and 3D object tracking, segmentation and recognition, action recognition, hand and body tracking and spatial reasoning.
• Experience working with egocentric data
• Experience solving complex 3D problems using ML and/or classical methods

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