Responsibilities: - Develop scalable algorithms based on state-of-the-art machine learning and neural network methodologies - Contribute to the team’s research and development activities; participate and lead some of the efforts. - Formulate research problems based on real-world needs and conduct high-quality research. - Apply expert software development skills to a wide range of ML-related coding projects - Develop prototypes and execute experiments to evaluate the performance of ML/DL architectures/algorithms in large-scale industrial applications - Write well-structured and re-usable code in programming languages such as Python, C/C++, etc. - Create proof-of-concept technology demonstrations. Qualifications: - MS/Ph.D. in Computer Science, Computer Engineering, or related field - Broad and deep knowledge of machine learning and/or deep learning research - Experience building systems based on machine learning and/or deep learning methods - Programming experience in Python, C or C++ - Achievements in competitions such as Kaggle, ILSVRC or WMT a strong plus - Experience solving analytical problems using quantitative approaches a plus