Computer Vision Research Scientist

We're building the next generation of computer vision technology for wearables. You'll own a core technical area spanning reconstruction and generative enhancement, and drive it from research through production on wearables.Own a core area of our reconstruction stack and set its technical direction Advance 3D visual representations, optimizing them for on-device delivery and representation Develop image composition and correction techniques Lead generative quality improvement for real-world capture Optimize models for on-device inference under hard compute, memory, latency, thermal, and power constraints, and partition work between device and cloud Define image quality gates Own training data strategy, Partner with product and platform teams to take prototypes through dogfooding and experimentation to shipped features Shape the technical roadmap for your area and influence it across organizational boundaries Deliver production-quality code, review others' work, and raise the engineering barBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in Computer Science, Electrical Engineering, Robotics, Applied Math, or a related field with a computer vision, graphics, or ML focus - or equivalent practical experience 6+ years building production computer vision or graphics systems Deep expertise in geometric vision: SfM, SLAM/VIO, multi-view stereo, calibration, bundle adjustment, or learned depth Proven experience training and deploying deep learning models (PyTorch or equivalent) Expert-level C++ and strong Python Demonstrated record of taking research from prototype to shipped product Hands-on experience with 3D scene representations Track record of technical leadership setting direction, mentoring, and driving multi-team efforts Experience with generative image and video models Strong publication record at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, 3DV) Experience with camera ISP pipelines, computational photography, or multi-sensor fusionMeta 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.Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .