What you will do:

• Active learning and Bayesian optimization 
• Anomaly detection 
• Deep networks 
• Distributed/parallel learning algorithms 
• Learning control 
• Predictive modeling 

Requirements:

• PhD in Electrical Engineering, Computer Science/Engineering or a related field. 
• 3 or more years of 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 

Plus:

• Strong understanding of recent advancements in machine learning research