Responsibilities

- 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 efficient 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 workplace with GPU and familiar with UML (>2 years).

📌 Senior Computer Vision Engineer (Metro Vancouver)
🏢 Brainpower360
📍 Metro Vancouver