Security Engineer, Applied AI

Meta is a technology company developing products and platforms that connect people and support immersive digital experiences. Meta is seeking a Security Engineer to apply deep security expertise to build AI-powered security products, conduct adversarial research, develop detection and response capabilities, and improve AI systems for security reasoning. The role involves collaborating with engineering, product, and research teams while independently driving complex security initiatives.

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

Requirements:

• 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
• 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