Koh Young TechnologyKoh Young Technology Inc., a leading 3D measurement-based inspection equipment and solutions provider, performs an essential role for quality control and process optimization in the production fields of diversified industries including smart devices, automotive electronics, telecommunications, military, health care industry, and semiconductors. In addition to our headquarters in Seoul, Korea, we maintain offices in Europe (Germany), United States, Japan, Singapore and China, allowing us to have close communication with our customers and have global network of sales and services.The company invests very heavily in R&D (60% of the workforce, >10% of sales) and treasures talented team members. Koh Young has a dynamic innovative culture and strives to be at the top of the industry.Koh Young Research CanadaEstablished in 2019 in Vancouver, BC, Koh Young Research Canada is where top-class engineers and experts work on solving current complex problems as well as pioneer future products in various industries (automated quality inspection and medical equipment) utilizing state of the art 2D/3D computer vision, robotics and artificial intelligence. Koh Young Research Canada plays an integral part in the global multidisciplinary R&D team, ranging from development of core fundamental technologies to applications. Responsibilities- Deep Learning Network Training and Deployment to wide range of CV application- Image Enhancement : Ghost removal / De-blurring / Contrast Enhancement- Color Image Processing : Denoising / Image Domain Transformation / Smoothing & Sharpening- Segmentation : Semantic Segmentation / Instance Segmentation- Various Region Detection on Images : Saliency / Anomaly : Shape matching / Blob from multi-modal data / Model Fitting- Classification : Small Data driven / Big Data driven- 3D / Depth image processing development : Transformations / Denoising(Artifact, …) / Reconstruction / Ensemble- Stereo Vision : Camera Calibration / Depth Estimation Requirements 1. Education and Experience - Master’s degree in Computer Science or Electrical Engineering plus 2 or more years of relevant experience - Preferred #1: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience - Preferred #2: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience2. Technical Requirements (At least, one of the below is required.) - Experience to Research and Develop to Classical Computer Vision Algorithm - Experience to Research and Develop Machine Learning - Experience to C++ implementation of Computer Vision3. Skills to programming language (At least, one of the below is required.) - C++ / Python / CUDA