Job Duties: Responsible for developing deep learning models to detect cyberattacks including malware, command and control communication and exploit. Duties include developing deep learning model training infrastructure that can run on hybrid clouds and on premises; developing tools to visualize the training process to enable the user to see performance at each layer of the neural net and identify malicious and benign malware, executables or shared library; evaluating the performance of the deep learning model architecture and associated data labels and fine tuning the final results to match target performance measures.
Job Requirements: Requires PhD in CS, EE, STATS, or related technical field.
Requires Ph.D. in Computer Science, Electrical Engineering, or Statistics with focus on probabilistic models, stochastic process and deep learning. Also requires research background and knowledge of developing custom neural network architectures and associated training methods, adversarial machine learning including GANs, and model improvement techniques such as dropout.
Reference job# 14731 and apply at email@example.com