Currently has, or is in the process of obtaining, a PhD degree in the domain of computer vision, machine learning, computer graphics, robotics, or a related technical field Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Knowledge and hands-on experience in at least one of: depth or stereo estimation, 3D reconstruction (TSDF, implicit or neural fields, Gaussian splatting), video or instance segmentation, or neural scene representations Experience designing and running quantitative experiments, and communicating technical results Intent to return to a degree-program after the completion of the internship 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, 3DV, ICLR, NeurIPS, etc Experience with efficient or on-device inference: quantization, distillation, pruning, or deployment to mobile NPU, DSP or GPU targets Experience with multi-sensor fusion across heterogeneous sensors - RGB, IR/CV cameras, time-of-flight - including camera calibration and cross-sensor registration Experience with temporal filtering and state estimation over scene state Familiarity with AR/VR passthrough, reprojection, occlusion rendering, or SLAM and scene reconstruction Experience with C++, and with profiling or optimizing real-time computer vision or graphics pipelines Experience working in a Unix environment Experience reasoning about compute and power budgets as a first-class design constraintMeta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.