1. Research cutting-edge technology of data mining or statistical learning to solve practical problems. 2. Research and development the core technology for the applications of large-scale machine learning. 3. Through the keen insight into the data, dig deep into the potential value and demand of the product to provide the valuable of products and services.
1. Have a strong interest in technical research and application. Have a strong sense of ambition and desire. Good at learning and using new knowledge. 2. Theoretical background and practical experience in one or more fields: machine learning/data mining/deep learning/information retrieval/natural language processing/mechanism design/game theory. 3. At least proficient in a programming language. Familiar with network programming, multithreading, distributed programming technology. Profound understanding in data structure and algorithm design. 4. Good logical thinking ability. Able to find key data and grasp the core issues. 5. Good communication skill and logical expression ability. Good team work spirit and initiative communication consciousness. Preferred qualifications: - Familiar with text classification, clustering and machine translation. - Familiar with mass data processing, optimization algorithms, distributed computing, or high performance parallel computing.