**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 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. **Required Skills:** Research Engineer, ML, AI & Computer Vision Responsibilities: 1. Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception 2. Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping. 3. 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. 4. Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Vision, Robotics or a related technical field. 6. Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence 7. Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python **Preferred Qualifications:** Preferred Qualifications: 8. MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. 9. Experience with distributed systems or on-device algorithm development 10. Experience in deep learning and PyTorch 11. 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. **Industry:** Internet