Principal/Senior Security Researcher - Autonomous EDR- Windows (Cortex)

We are looking for a Security Researcher to join our research group as part of a growing team developing Autopilot, an innovative product for autonomous investigation and response.
As a core member of the team, you'll go beyond research: youll research, design, and develop investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities:
Research and implement new autonomous methods for investigating and responding to targeted attackers, using large-scale, diverse security datasets
Develop and design the graph-based

דרישות:

Required Qualifications:
5+ years of experience in security or threat research, in which you conducted deep research with actionable insights and real-world impact.
Proven experience as part of an R&D/development team, along with strong proficiency in Python programming
Intimate knowledge and understanding of attack methods and techniques over endpoints and enterprise networks
Comfortable working with large-scale datasets to extract meaningful insights through advanced analysis
Strong sense of ownership and ability to independently drive projects from concept to execution
Critical thinker who thrives both independently and in collaborative team environments
Excellent verbal and written communication skills
A cybersecurity professional driven to solve the next generation of security challenges.
Preferred Qualifications:
In-depth knowledge of the inner workings of operating systems (especially Windows)
Experience working with graph DB and algorithms
Experience in statistics, advanced da