Summary: Meta Reality Labs Research (RL Research) brings together a world-class R&D 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 scientists 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, estimation and understanding of user motion, actions and activities. Required Skills: Research Engineer, ML, AI & Computer Vision Responsibilities: - 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 Minimum Qualifications: Minimum Qualifications: - MSc or PhD degree in Computer Science, Computer Vision, Robotics or a related technical field - Experience developing and designing Computer Vision and Perception for Robotics or smart device technologies and systems - 5 years of experience with a mastery of modern features in C++ - Experience working in a Unix environment - Interpersonal experience: cross-group and cross-functional collaboration Preferred Qualifications: Preferred Qualifications: - Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.) - Industry experience working on projects such as: real-time SLAM and 3D reconstruction, scene understanding, robotics and agentic AI systems including autonomous driving - Broad experience with distributed systems, cloud services, or on-device algorithm development - 3 years of industry or postdoctoral experience as full-stack software engineer. Industry: Internet