Research Engineer, ML, AI & Computer Vision

Overview

Meta Reality Labs Research (RL Research) brings together a world-class RandD team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. 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 software 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.Responsibilities

Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perceptionCollaborate with team members throughout the lifetime of a project, from early research through technology and experience prototypingPlay 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 siliconCollaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphicsMinimum Qualifications

Bachelor''s degree in Computer Science, Computer Vision, Robotics or a related technical fieldExperience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligenceExperience developing computer vision algorithms or computer vision infrastructure in C/C++ or PythonPreferred Qualifications

Experience with distributed systems or on-device algorithm developmentIndustry 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.Experience in deep learning and PyTorchMSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.Industry: ..... full job details .....