Deep Learning Scientist

We are Deep Instinct, the first cybersecurity company to apply Deep Learning, an innovative startup that has a unique and game-changing software solution to protect Fortune 500 End-Point users against Zero-Day & APT cyber-attacks, and we are looking for you!

As a deep learning scientist in the Deep Learning team, your responsibilities will include:

• Keep up to date with the latest developments in neural networks research and their potential applications to cyber-security
• Understand the unique challenges presented by the cyber-security domain
• Work with cyber-security specialists, data engineers, and security researchers, to understand the specificities of the data and fit solutions to it
• Develop machine learning models for solving various problems related to cyber-security
• Prepare and deliver oral presentations, as well as write articles in scientific journals.

Requirements:

Minimum Qualifications

• Experience in natural language processing, computer vision, machine learning or algorithm research
• Experience in working with Python and data science-related libraries (NumPy, Pandas...) as well as deep learning frameworks such as PyTorch, TensorFlow or other related frameworks
• Track record of publication in machine learning conferences
• Ph.D. or master's degree with four years of industry experience in computer science, mathematics, statistics or related field

 Preferred Qualifications

• Experience in working with unstructured data, binary data and large-scale datasets
• Experience with adversarial machine learning methods
• Experience in working with AWS and distributed GPU training
• Industry experience in conducting end to end research projects from data analysis and hypothesis formulation to model evaluation and serving for production environments
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, AISTATS, UAI)