AI Research Scientist - Computer Vision (Technical Leadership)

Meta is seeking exceptional AI Research Scientists to join their AI organization. The ideal candidate will be a recognized expert in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, with a focus on computer vision and technical leadership.

Responsibilities include:

• Advancing the science and technology of intelligent machines
• Contributing to research on learning the semantics of data (images, video, text, audio, and other modalities)
• Working on projects of moderate to high complexity and scope
• Designing policies, processes, and end-to-end systems
• Leading projects independently and collaborating cross-functionally
• Influencing research communities through publications
• Developing data-driven models of human behavior
• Advancing state-of-the-art in machine perception, mapping, reconstruction, and localization
• Collaborating on AR/VR systems research
• Designing and running experiments related to large-scale sensing and machine reasoning

Requirements:

• PhD in Computer Vision, Robotics, State Estimation, 3D Reconstruction, Object Tracking, Physics-based models, or a related field
• Experience applying research to production problems
• Leadership experience in solving AI/ML modeling problems
• Strong communication skills for research audiences
• Proven publications in relevant technical fields
• Hands-on experience with 3D computer vision algorithms, sensor fusion, and image processing
• Proficiency in C++ and Python

Preferred qualifications include experience in academia or industry research, first-author publications at top AI conferences, expertise in real-time computer graphics or GPU programming, and experience with inertial/optical/wireless sensing devices.

Meta offers a competitive salary range of $213,000 to $293,000 per year, plus bonus, equity, and benefits. They are committed to providing reasonable accommodations and maintaining an inclusive work environment.

Join Meta to shape the future of social technology and work on cutting-edge AI research that goes beyond the constraints of screens and physical limitations.