Machine Learning Research Scientist
1 week ago
Stellar background in statistical machine learning and data mining, in areas including but not limited to: online learning, nonlinear optimization, high-dimensional data clustering, classification, regression, ranking, probabilistic graphical models, and deep learning.
PhD degree in AI, ML, statistical NLP or related technical fields.
10+ years of hands-on experience working in data science and/or machine learning.
Practical experience building, testing and deploying ML models at scale.
Experience with one or more of the programming languages and machine learning tools (Python, R, Julia, C/C++, Scala).
Strong publication history in top-tier journals and conferences (e.g., Machine Learning Journal, DMKD, KAIS, ICML, KDD, ACL, NIPS, ECML, NAACL, IJCAI, AAAI).
Strong interpersonal and communication skills and must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into action.
Experience with deep learning tools and packages (Caffe, PyTorch, Tensorflow).
A clear passion for learning emerging technologies independently and continuously.