You will be responsible in such fields: Active learning and Bayesian optimization Anomaly detection Deep networks Distributed/parallel learning algorithms Learning control Predictive modeling

Requirements: PhD or master in Computer Science/Engineering, ML/DL, Electrical Engineering, or a related field. Relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing Excellent knowledge of theory and practice of machine learning. Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus. Knowledge of common machine learning frameworks. Track record of research excellence or significant product development. Knowledge of application areas such as computer vision or robotics Preferred to have: Strong understanding of recent advancements in machine learning research