Lead data-driven research projects in the field of application and data security, using machine-learning and deep-learning methods.
Responsible for research from idea through prototype to deployment in the Imperva products.
Apply data-mining techniques and developing innovative security solutions to be integrated in our best in breed products.
Influence hundreds of millions of users, daily
Crunch security data (Network traffic, Application requests, Database transactions etc.,) to discover information hidden in large volume of data, such as advanced cyber-attacks, and attack patterns.
Ph.D. or M.Sc. in Computer Science, Engineering, Math, or other quantitative / technical field
2-4 years' practical experience in machine learning, deep-learning, data analysis, or other algorithmic research
Hands on programming experience (Python - advantage)
Good analytic and problem-solving skills
Self-learner with can-do attitude
Excellent team player with the ability to work independently
Solid experience in machine learning and deep-learning libraries, such as Scikit-learn, SciPy, TensorFlow, Pandas, NumPy ,PyTorch, Keras – an advantage.
Background in cybersecurity – an advantage
Good English and presentation skills – an advantage