AI Security Researcher

Introduction At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.

Your Role And Responsibilities We are looking to grow our team of research scientists and engineers. We look for candidates with a proven track record of research and systems building experience, strong systems intuition, and a strong desire to implement one’s own ideas. You will advance fundamental science and publish in top-tier journals and conferences. You will also help conceive and build the next generation of innovative solutions to address real-world security challenges. Successful candidates will design, implement, and analyze state-of-the-art tools and systems to improve the security operations or systems and solve real-world problems. The ideal candidate will have experience with AI agents, vulnerability discovery and analysis, and security hardening systems.

Your Primary Responsibilities Will Include

• Risk and Threat Analysis: Apply expertist in cybersecurity, networks, and systems to analyze threats
• Vulnerability Discovery and Analysis: Apply automated techniques to discover, analyze, triage, and remediate vulnerabilities is software, systems, and agents.
• Agentic Security: Research novel techniques to help secure agents and other future systems against emerging threats.
• Implement Research Findings: Collaborate with teams to integrate research results into product development, ensuring cutting-edge security features.

Preferred Education Doctorate Degree

Required Technical And Professional Expertise

• Strong Development Skills: Strong development experience with Pythons, Rust, TypeScript or similar languages.
• Cybersecurity Analysis: Exposure to apply expertise in cybersecurity to analyzing software and systems for vulnerabilities or threats and development mitigations and strong countermeasures
• Research Implementation Ability: Exposure to collaborating with teams to integrate research results into product development, ensuring cutting-edge security features.

Preferred Technical And Professional Experience

• Vulnerability Analysis: Experience in discovering, analyzing, and created proofs for new vulnerabilities
• Threat Intelligence Analysis: Experience working with threat intelligence platforms and tools to analyze and mitigate cyber threats.
• Machine Learning for Security: Exposure to applying machine learning techniques to security problems, including anomaly detection and predictive modeling.