[Job Functions]
- To research and develop scalable computer vision and machine learning solutions to a hard problem
- To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning
- To design, implement, and deploy full-stack computer vision and machine learning solutions
[Detailed Job Descriptions]
- Deep Learning Network Training and Deployment to wide range of CV application
- Image Enhancement
- Ghost removal / De-blurring / Contrast Enhancement
- Denoising / Image Domain Transformation / Smoothing & Sharpening
- Semantic Segmentation / Instance Segmentation
- Various Region Detection on Images
- Saliency / Anomaly
- Shape matching / Blob from multi-modal data / Model Fitting
- Small Data driven / Big Data driven
- 3D / Depth image processing development
- Transformations / Denoising (Artifact, …) / Reconstruction / Ensemble
- Camera Calibration / Depth Estimation
[Education and Experience]
- Required: 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 experience
[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 Vision
[Skills to programming language ](At least, one of the below is required.)
[Salary range]
[Corporate Video]