Security Engineer, Applied AI Responsibilities 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 community Minimum Qualifications • B.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 Preferred Qualifications • 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 teams