ML Vision Engineer

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Описание

About the role We're looking for a Machine Learning Vision Engineer to help our R&D team push the boundaries of video analytics — from multi-view geometry and 3D reconstruction to multiple object tracking and facial analysis. You'll work at the core of Aurora, our own cloud-managed stereo sensor, which combines onboard shopper detection and tracking with WiFi, Bluetooth, and HD video recording. You'll do well here if you have a strong grip on multi-view geometry, an inventive eye for new techniques, and a genuine drive to scale computer vision into large, real-world installations. This isn't research in a vacuum — the algorithms you build run in stores around the world. Because RetailNext builds its own hardware and software end to end, you'll get a rare shot at owning problems from theory through production deployment. Reports to: Head of Technology Location: Taiwan, Remote What You'll Do Algorithm Research & Development Lead the development of new computer vision algorithms for shopper detection, tracking, and analytics Improve the performance and efficiency of existing algorithms already running in production Apply multi-view geometry techniques to solve image registration, mosaicking, and 3D reconstruction problems Prototype new approaches quickly in Python or MATLAB before hardening them for production Stay close to the research space so RetailNext's techniques keep pace with — and get ahead of — the field Multi-Sensor Systems Integration

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