Junior Computer Vision Engineer

Job Summary - 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 Job Description Detailed Job Descriptions - 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 Qualifications 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.) - C++ / Python / CUDA What's On Offer - Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage) - 401(k) retirement plan (Immediately 100% vested) - Generous PTO and paid holidays Apply online or feel free to contact us directly for more information about the opportunity. Due to the high volume of applicant, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.

Created: 2026-04-02