Security Researcher

Description

Deep Instinct, the first cyber security company to apply Deep Learning to cyber security is looking for a Security Researcher to join our security research team. Deep instinct is an innovative start-up that has a unique and game-changing software solution to protect Fortune 500 End-Point users against Zero Day & APT cyber-attacks. This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW!

The successful candidate will be responsible for the design and implementation of Deep Instinct’s novel prevention capabilities, conduct research in the Cloud environment, evasion techniques and attack surfaces, reverse-engineer malware and more. The role involves close work with fellow researchers, data scientists, and development teams. The position requires innovation and independence in a fast-paced environment in which deliverables are of the highest quality and accuracy.

RESPONSIBILITIES:

• Research malware behavior and evasion techniques across all stages of the malware kill chain from exploitation and infection to impact.
• Design and develop mechanisms to detect suspicious and malicious activity in run-time on the OS and Cloud environment for future product features.
• Perform your own research of attack surfaces in Cloud and OS components for exploitation and publication.
• Write technical summaries, white papers, and blogs based on your research and finding.
• Work with other teams in research, development, and product groups.
  
  

• Knowledge of OS internals and components in either Windows, Linux or MacOS.
• Knowledge of attack vectors and evasion techniques, such as code injection.
• Hands-on experience in static and dynamic malware analysis, including reveres-engineering (x86/x64) and other relevant tools and methods (OllyDBG, WinDBG, IDA,etc.).
• Practical development experience in C/C++ for malware or security components (e.g., implementing hooking) and Python.
• Experience in Cloud environment research - advantage.
• B.Sc in Computer Science or equivalent army experience.
  
  

• Background in Machine Learning.
• Team player with a passion for research, a can-do attitude, creativity and an eager self-learner.