Security Engineer, Applied AI

Meta is seeking a Security Engineer to join our Applied Artificial Intelligence (AAI) organization. As a Security Engineer in AAI, you will apply deep domain expertise to solve hard, real-world security problems, building novel security capabilities, prototyping AI-powered defenses, and advancing the frontier of what AI systems can do in security. Your work is AI-augmented from day one: you leverage AI tools and agents to accelerate your impact, and where the models fall short, your expertise directly drives their improvement.<br/><br/>You will blend hands-on security engineering with applied research: designing and executing novel approaches to security challenges that push both the state of Meta's security posture and the state of the art in AI-driven security. This includes building security products and tools, conducting original adversary research, developing detection and response capabilities, and translating security expertise into scalable, AI-native systems. Your domain knowledge — whether in detection engineering, threat intelligence and adversary analysis, cloud security, adversary simulation, mobile and platform security, forensic investigation, or emerging areas like AI/ML security — becomes the foundation for capabilities no existing AI system can replicate.<br/><br/>This role is for security practitioners who want to operate at the intersection of deep security expertise and frontier AI — not just using AI as a tool, but shaping what it becomes.<br/><br/><br/><strong>Responsibilities</strong><br/>Apply deep security domain expertise to identify, scope, and solve complex security problems that require multi-step reasoning, novel approaches, and expert judgment<br/>* Build security products, tools, and capabilities — prototyping AI-driven solutions to real-world security challenges at Meta's scale<br/>* Design and execute adversarial research, threat intelligence analysis, detection engineering, platform security research, or investigation workflows augmented by AI tools and agents<br/>* Identify where AI models lack security reasoning capability and directly contribute to improving them through expert-generated signals, evaluation, and feedback<br/>* Develop novel methodologies and reusable approaches that advance both Meta's security posture and AI system performance in security domains<br/>* Collaborate with model researchers to translate security expertise into training signal — decomposing hard problems into structured challenges that teach models to reason like security experts<br/>* Partner cross-functionally with engineering, product, and research teams to incorporate security innovations into production AI systems<br/>* Drive end-to-end execution of complex security initiatives with independence, contributing to the technical direction within the team<br/>* Disseminate findings through internal publications, knowledge sharing, and contributions to the broader security community<br/><br/><strong>Qualifications</strong><br/>B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience<br/>* 5+ years of hands-on security engineering experience in one or more domains: detection engineering, threat intelligence, incident response, cloud security, adversarial simulation, offensive security, mobile/platform security, or digital forensics<br/>* Extensive knowledge of attacker tactics, techniques, and procedures<br/>* Proficiency in coding with experience in languages such as Python, Go, C/C++, or shell scripting<br/>* Experience building security systems, tools, or capabilities — not just identifying problems but engineering solutions<br/>* Demonstrated ability to operate independently on complex, ambiguous security challenges Experience with forensic investigation — reconstructing attack timelines from evidence across multiple sources<br/>* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)<br/>* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies<br/>* Contributions to the security community (original research, tools, CTF design, conference presentations, publications, vulnerability disclosures)<br/>* Background in supply chain security, mobile platform security, network protocol security, or AI/agent security<br/>* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)<br/>* Experience improving AI model performance through expert feedback, red-teaming, or evaluation design<br/>* Experience in planning and executing adversary simulation campaigns or purple team exercises at scale<br/>* Experience with mobile platform security (iOS/Android), including IPC exploitation, secure enclave analysis, or platform-specific vulnerability research<br/>* Experience with cloud security operati