Apply deep security domain expertise to identify, scope, and solve complex security problems that require multi-step reasoning, novel approaches, and expert judgment Build security products, tools, and capabilities - prototyping AI-driven solutions to real-world security challenges at Meta's scale Design and execute adversarial research, threat intelligence analysis, detection engineering, platform security research, or investigation workflows augmented by AI tools and agents Identify where AI models lack security reasoning capability and directly contribute to improving them through expert-generated signals, evaluation, and feedback Develop novel methodologies and reusable approaches that advance both Meta's security posture and AI system performance in security domains 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 Partner cross-functionally with engineering, product, and research teams to incorporate security innovations into production AI systems Drive end-to-end execution of complex security initiatives with independence, contributing to the technical direction within the team Disseminate findings through internal publications, knowledge sharing, and contributions to the broader security communityB.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience 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 Extensive knowledge of attacker tactics, techniques, and procedures Proficiency in coding with experience in languages such as Python, Go, C/C++, or shell scripting Experience building security systems, tools, or capabilities - not just identifying problems but engineering solutions Demonstrated ability to operate independently on complex, ambiguous security challenges Experience with forensic investigation - reconstructing attack timelines from evidence across multiple sources Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Contributions to the security community (original research, tools, CTF design, conference presentations, publications, vulnerability disclosures) Background in supply chain security, mobile platform security, network protocol security, or AI/agent security Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience improving AI model performance through expert feedback, red-teaming, or evaluation design Experience in planning and executing adversary simulation campaigns or purple team exercises at scale Experience with mobile platform security (iOS/Android), including IPC exploitation, secure enclave analysis, or platform-specific vulnerability research Experience with cloud security operations (AWS/GCP/Azure), cloud detection and response, or cloud-native defense Experience in creating structured methodologies that scale security expertise across teamsMeta builds technologies that help people connect, find communities, and grow businesses. 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.