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The Surreal Spatial AI group is seeking high-performing research engineers to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them. The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, full-stack, real-time, Machine Perception and AI prototypes for egocentric devices such as Meta's Project Aria; Including 3D environment and object reconstruction, semantic understanding as well as estimation and understanding of user motion, actions and activities.
Job Responsibility:
Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception
Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping
Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon
Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
Requirements:
Two or more years of experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
One or more years of experience in C/C++ or Rust
Bachelor's degree in Computer Science, Computer Vision, Robotics or a related technical field
Experience developing computer vision algorithms or computer vision infrastructure in C/C++, Python or Rust
Nice to have:
Experience in deep learning and PyTorch
Experience with distributed systems or on-device algorithm development
Industry experience working on projects such as: real-time Simultaneous Localization and Mapping and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing
MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field