Responsibilities:

• Develop state-of-the-art computer vision algorithms for object detection, classification, and recognition;
• Prototype hardware and software solutions for detection, classification, and recognition;
• Develop computer vision techniques for object detection: devising discriminative features, parts based modeling, SVM/LSVM classifiers or CNN based detection; and for facial analysis: face detection, landmark detection, recognition, classification, and pose estimation;
• Develop robust software for integrating multiple sensors and tracking system ;
• A solid understanding of and experience with Deep Learning, in particular with design, training, evaluation and optimization of convolutional neural net (CNN) architectures in the context of object recognition, scene classification or scene segmentation;
• Experience with at least one major deep learning framework (such as Caffe, Theano, Torch, Tensorflow);
• A Self-motivated learner who keeps up-to-date with the current state of computer vision and deep learning techniques/architectures.

Requirements:

• Bachelor degree in Computer science or related discipline;
• Minimum 2 years experience in algorithm implementation in C++ and Python;
• A solid background in machine learning/classification concepts;
• A solid background in computer vision/image processing concepts;
• Hands on experience with computer vision or robotic systems operating on real-world datasets;
• Required to work at Lo Wu.

 We offered attractive remuneration package and good career prospect to the right candidate.