Shaping the future of autonomous driving.
artificial intelligence • deep learning • robotics • computer vision • motion planning
August 22
🏢 In-office - Bay Area
Shaping the future of autonomous driving.
artificial intelligence • deep learning • robotics • computer vision • motion planning
• Active learning and Bayesian optimization • Anomaly detection • Deep networks • Distributed/parallel learning algorithms • Learning control • Predictive modeling
• 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
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