研究科学家实习生，面向AR/VR的低功耗场景重建

Meta（Meta Platforms）岗位：Research Scientist Intern, Low-Power Scene Reconstruction for AR/VR Responsibilities

Plan and execute research to advance the state of the art in low-power, real-time scene reconstruction for AR/VR — spanning depth estimation, occlusion, and geometric scene understanding.

Explore the extent to which a shared, learned scene representation can serve multiple downstream consumers at different latency and accuracy points.

Define evaluation methodology and run experiments measuring geometric accuracy, temporal stability, rendering distortion, latency, and compute and power cost on real multi-sensor device captures.

Collaborate with researchers and engineers across the passthrough, scene understanding, and on-device compute teams to assess feasibility within headset and glasses power envelopes.

Document and present findings, and contribute to publications and patents where the results warrant it.

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

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,

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

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

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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.

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In addition to base compensation, Meta offers benefits.

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Currently has, or is in the process of obtaining, a PhD degree in 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.