Job Title:

Senior Research Scientist - Network Security

About Trellix:

Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions.

We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/.

Role Overview:

We are looking for a Senior Research Scientist to help us build and expand

Trellix Network Detection and Response. The ideal candidate is someone who is passionate about solving real problems by turning cutting edge research into operational production solutions. In this role, you will focus on analyzing network-based attacker behavior and develop innovative solutions to address emerging challenges in the field of networking.Responsibilities:

Research attacker methodologies and develop innovative solutions to identify detection solutions
Knowledge on how machine learning can be applied in networking problems
Perform data analysis to measure efficacy and identify methodologies to improve existing solutions
Forward Looking Research – Researcher will help develop leading edge prototypes to solve emerging challenges.
Threat Analytics – Leverage threat intelligence from different sources, identify patterns to co-relate and establish the origin and flow of attacks.
Drive roadmap for detection efficacy and network research operation

Requirements:

At least three years direct or equivalent experience in areas of network-based threats and other aspects of cyber attacks..
Strong understanding of networking protocols (e.g., TCP/IP) and network architecture.
Proficiency in programming languages such as Python, C++, or Java.
Knowledge of cybersecurity principles and practices
Strong analytical, problem-solving, and communication skills

Preferred:

Hands-on reverse engineering and knowledge of operating system internals.
Red teaming experience on various techniques
Machine learning experience