10000 Leadership Jobs

Meta is seeking exceptional AI Research Scientists to join our AI organization. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have an interest in producing new science to understand intelligence and technology to make computers more intelligent, and an equal interest in taking new research findings in this area and implementing it towards production ready problems.

AI Research Scientist - Computer Vision (Technical 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:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 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
• Proven publications in machine learning, 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

Preferred Qualifications:

• 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

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.