You'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.
Responsibilities
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 bar
Minimum Qualifications
• Bachelor'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
Preferred Qualifications
• 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 fusion
