Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, computer graphics, 3D machine perception or machine learning Knowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer vision Hands-on experience implementing 3D computer vision algorithms as well as end-to-end training of ML models from data collection and design to evaluation Experience working within Python environments such as pytorch Experience working in a Unix environment Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH/SIGGRAPH Asia, ICLR and NeurIPS Strong track-record of published research in the fields of neural reconstruction, inverse rendering, neural rendering, object reconstruction and tracking, generative modeling Strong programming experience using python and pytorch Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Intent to return to a degree-program after the completion of the internship Experience working and communicating cross functionally in a team environment

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities and digital twins of 3D scenes that will underpin future VR and contextual-AI-enabled AR devices. The research intern will work on cutting edge research problems to innovate novel computer vision and machine learning techniques. Collaborate with researchers to advance work across multiple research areas, including: - Egocentric 3D reconstruction and scene understanding of static and dynamic scenes. - Multimodal generative models for 3D shape synthesis and reconstruction. - Language grounding for 3D shapes and scenes to enable spatial reasoning and embodied interaction. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.