Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology. Research, develop and employ machine learning algorithms for solving difficult and exciting challenges. Engineer solutions for quality inspection equipment, medical equipment, and more. Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python. Qualifications

Master's degree in Computer Science or Electrical/Computer Engineering or relevant experience (PhD preferred). 4 years industry experience in Computer Vision related field. Minimum 3 years industry experience in Computer Vision or related field. Required Skills

Computer Vision algorithms and applications,



such as 3D reconstruction (structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation. Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems. Algorithm optimization for effective processing, exploiting parallelism, and GPU. Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2 years). C++ programming skills, preferably in an embedded environment with GPU and familiar with UML (>2 years).

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📌 Senior Computer Vision Engineer (Winnipeg)
🏢 Brainpower360
📍 Winnipeg