About the role
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to
the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About
the Role: The CrowdStrike Data Science Team is looking for a driven and skilled professional to conduct research at the intersection of AI Large Language Models (LLMs) and Malware Analysis. Our team is dedicated to identifying, analyzing, and mitigating potential threats targeting artificial intelligence systems. As a Threat Researcher, you will play a key role in strengthening our security posture across the AI ecosystem. Your
responsibilities will include researching emerging threats, uncovering gaps and vulnerabilities, and contributing to the development of prototype solutions. What You’ll Do: Stay current with emerging technologies, trends, and threat landscapes within the cybersecurity and AI domains Identify and investigate blind spots and vulnerabilities in our AI-powered detection systems to strengthen their resilience and accuracy Design and develop Proof of Concept (PoC) projects grounded in deep, rigorous research across the cybersecurity domain Collaborate cross-functionally with engineering and product teams to translate research findings into actionable, scalable security solutions What You’ll Need: Solid foundational knowledge of Artificial Intelligence concepts, methodologies, and their practical applications Proficient programming skills with advanced proficiency in Python and familiarity with other relevant languages and frameworks Exceptional communication skills, including the ability to present complex technical findings clearly to both technical and non-technical audiences, through written reports, presentations, and collaborative discussions 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, including attack vectors, defense mechanisms Deep awareness of current and emerging threats introduced by the adoption of AI systems, with the ability to apply practical, hands-on security research experience to address them A genuine passion for working at the forefront of AI and cybersecurity, with a proactive mindset toward continuous learning and innovation in a rapidly evolving field Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
