Research Scientist Intern, 3D World Modeling, Robotics And Generative AI (PhD)

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: - Developing novel egocentric world models for action-conditioned video synthesis. - Evaluating different egocentric input modalities (e.g., hand pose, head pose, eye gaze, body pose). - Establish multimodal generation models including RGB video, 2D/3D flow, and depth maps. - Curating and post-processing large-scale datasets to enable effective training. - Investigating the impact of world models on RL algorithms for policy learning. - Benchmarking against state-of-the-art approaches and compiling results for scientific conference submission. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Responsibilities

Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, state estimation, reconstruction and rendering of 3D objects and scenesCollaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR and AI systemsWork with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high quality sensing and machine reasoning

Qualifications

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 learningKnowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer visionHands-on experience implementing 3D computer vision algorithms as well as end-to-end training of ML models from data collection and design to evaluationExperience working within Python environments such as pytorchExperience working in a Unix environmentMust 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 NeurIPSStrong track-record of published research in the fields of neural reconstruction, inverse rendering, neural rendering, object reconstruction and tracking, generative modelingStrong programming experience using python and pytorchDemonstrated 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 internshipExperience working and communicating cross functionally in a team environment