Responsibilities

• To develop sourcing, cleansing, structuring and ingesting new data sources.
• To apply machine learning and predictive modelling techniques.
• To develop and implement software, SDKs, tools and libraries, for feature extraction, feature detection, clustering, dimension reduction, classification, data mining.
• To perform algorithms research and development on NLP, Graph Convolution Neural Network, and other Convolution Neural Networks, reinforcement learning, and recommendation system for real world application.
• To perform independent R&D work including literature study, open source code search and patent reading.

Requirements

• Bachelor/Master/Ph.D. degree in Computer Science/ Mathematics/ Statistics/ Electronic Engineering / Information Engineering or other related disciplines.
• Experience with C/C++/ Python/ Julia/ CUDA programming for high performance production quality code.
• Knowledge in TensorFlow/ PyTorch/ MXNet/ Caffe or other deep learning framework.
• Experience with building and productionizing software system structure for industry application will be an advantage.
• Experience in transfer learning.
• Experience with git or similar version control software.
• Passion for machine learning research and development.
• A team player with good analytical and communication skills.