What you will do:
- Active learning and Bayesian optimization
- Anomaly detection
- Deep networks
- Distributed/parallel learning algorithms
- Learning control
- Predictive modeling
Requirements:
- BS/MS/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
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