Threat Researcher I (remote, Rou)

CrowdStrike CrowdStrike · Enterprise · Romania · Remote

CrowdStrike is seeking a Threat Researcher to research AI LLMs and Malware Analysis, focusing on identifying and mitigating threats to AI systems. The role involves investigating vulnerabilities in AI-powered detection systems, designing PoC projects, and collaborating to translate research into scalable security solutions. Requires strong AI/ML knowledge, Python proficiency, and cybersecurity/malware analysis experience.

What you'd actually do

  1. Stay current with emerging technologies, trends, and threat landscapes within the cybersecurity and AI domains
  2. Identify and investigate blind spots and vulnerabilities in our AI-powered detection systems to strengthen their resilience and accuracy
  3. Design and develop Proof of Concept (PoC) projects grounded in deep, rigorous research across the cybersecurity domain
  4. Collaborate cross-functionally with engineering and product teams to translate research findings into actionable, scalable security solutions

Skills

Required

  • Solid foundational knowledge of Artificial Intelligence concepts, methodologies, and their practical applications
  • Proficient programming skills with advanced proficiency in Python
  • Exceptional communication skills, including the ability to present complex technical findings clearly to both technical and non-technical audiences
  • Demonstrated track record of delivering results, supported by published work, shareable projects, or measurable outcomes in relevant research or professional settings
  • Strong understanding of Malware Analysis principles and broad knowledge of the cybersecurity landscape
  • Deep awareness of current and emerging threats introduced by the adoption of AI systems
  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Nice to have

  • familiarity with other relevant languages and frameworks
  • Good understanding of static/dynamic analysis tooling such as IDA, x64dbg, radare2
  • Programming experience in python
  • Experience in reverse engineering is a plus
  • Student in Computer Science, Information Security or a related field

What the JD emphasized

  • published work
  • measurable outcomes
  • Deep awareness of current and emerging threats introduced by the adoption of AI systems
  • apply practical, hands-on security research experience

Other signals

  • AI-native platform
  • AI-first mindset
  • AI Large Language Models (LLMs) and Malware Analysis
  • identifying, analyzing, and mitigating potential threats targeting artificial intelligence systems
  • strengthening our security posture across the AI ecosystem
  • uncovering gaps and vulnerabilities
  • development of prototype solutions
  • AI-powered detection systems
  • AI technologies to enhance decision-making