Design and develop state-of-the-art computer vision for real-world recycling production line, object detection and classification, object tracking, and activity recognition.
Build and maintain the infrastructure for training and deploying models, including data pipelines, experiment management platform, visualization tools, etc.
Strong experience in image analysis, computer vision, machine learning, and deep learning (e.g. object detection and tracking, multi-camera vision/systems, etc.) with a solid understanding of underlying technologies.
Experience in the successful implementation of deep learning algorithms to real-world applications.
Experience working in Linux or UNIX operating systems.
Proven ability to effectively manage timelines and deliverables.
Passion for quality, performance, and reliability.
Excellent teamwork, communication skills, and critical thinking.