Research and development of real-time facial and body tracking software for augmented reality and virtual reality applications. Design, develop, and operate data pipeline system, which scales over many server machines and operate a data pipeline system. Including, the activities such as sourcing, loading, transforming, extracting data for training or testing machine learning algorithms on digital images that are used for augmented reality camera applications on the mobile and PC platforms. Apply software knowledge for the development of wide range of meta-language related to coding projects. Plan and develop solutions for debugging, optimizing and developing technology so that clients can integrate the company's product with their applications.
Master's degree in Computer Science, Communication/Network Engineering or in a related field and One (1) year of experience in the position or related occupation.
Experience must be include One (1) year of experience involve in:
a. Applying Deep Learning, Machine Learning and Computer Vision knowledge for augmented reality and virtual reality applications.
b. Optimizing machine learning based real-time facial landmark tracking algorithms.
c. Image descriptors including HOG(Histogram of Gradients) and LBF(Local Binary Feature).
d. Object-oriented and software libraries languages including STL/boost, OpenCV, OpenGL and Eigen.