AI Research Scientist (Leadership) Responsibilities:
- Help Advance the science and technology of intelligent machines
- Contribute to research that enables learning the semantics of data (images, video, text, audio and other modalities)
- Work on projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives
- Design policies, processes, procedures, methods, tests, and/or components, from the ground up and with the understanding of how to put together end-to-end systems
- Independently lead projects and work cross-functionally to bring research advancements to production teams and Meta Products
- Influence progress of relevant research communities by producing publications
- Devise better data-driven models of human behavior
- Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/wireless sensing systems
- Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems
- 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
Minimum Qualifications:
- PhD in the following fields: Computer Vision, Robotics, State Estimation, 3D Reconstruction, Object Tracking, Physics based models, or a related field
- Experience in applying research to production problems
- Experience leading a team in solving modeling problems using AI/ML approaches
- Experience communicating research for public audiences of peers
- Publications in machine learning experience, AI, computer science, statistics, applied mathematics, data science, or related technical fields
- Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python)
- Hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, Reconstruction, Object Tracking, Mapping, and Image Processing
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
- Experience holding a faculty, industry, or government researcher position in a role with primary emphasis on AI research
- Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
- Experience in developing and debugging in C/C++, Python, or C#
- Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL)
- Experience with designing (products or open-source) software for inertial/optical/wireless sensing devices
- Experience working in a Unix environment
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