Israel

Threat Intelligence Researcher

Tel Aviv, TLV Office

About The Position

Deep Instinct, the first company to apply deep learning to cybersecurity, is looking for a strong Threat Intelligence Researcher.

We are looking for an enthusiastic, performance-driven and analytic team player, to join our Threat Intelligence team. The successful candidate will be responsible to identify, analyze and collect cyber malware samples and campaigns, generate datasets that lay the foundation for Deep Instinct’s ground-breaking deep learning models across our product line, and deliver valuable insight and content to our field teams and customers.

 The role involves hands-on responsibilities, working closely with security researchers, Deep-Learning engineers and field teams. It requires multitasking in a fast-paced environment with high-quality, accurate, and timely deliverables. 

Roles and Responsibilities:

  • Maintain up-to-date knowledge of threats, vulnerabilities and attack vectors relevant to Deep Instinct’s product line and strategy
  • Identify, collect and analyze malware from a wide range of sources, ranging from customer environments, to threat intelligence feeds and automated analysis tools
  • Build and engineer mass-scale data-sets used for training deep learning models, based on a solid understanding of the threat landscape
  • Deliver cyber intelligence related tools, data, and insight necessary for field teams in various stages of sales and production cycles
  • Create high quality and valuable content and reports to be delivered to Deep Instinct’s customers and stake-holders. 

Requirements

  • Hands-on experience in static and dynamic malware analysis - relevant tools, methods, and threat intelligence sources and providers
  • Working Knowledge and proven experience in programming and scripting in Python and Bash
  • Familiarity and understanding of hacking techniques, novel malware families and campaigns, common attack vectors (Windows - Must, MacOS/Android - Advantage)
  • Experience with collecting, analyzing, and interpreting data from multiple sources, while maintaining efficiency by using automation and data processing logics
  • Background/Knowledge in Machine Learning – Advantage
  • Experience in the cyber-security industry – Advantage
  • Team player with passion for technology, autodidact, independent, innovative and able to multi-task