Computer Vision Research Scientist

About the job

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.

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