Security Engineer, Applied AI

Meta; Menlo Park (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Meta is seeking a Security Engineer to join the Applied Artificial Intelligence (AAI) organization in Menlo Park. You will blend hands-on security engineering with applied research to design and implement AI-powered security capabilities, defenses, and scalable AI-native systems.

You will work across detection engineering, threat intelligence, cloud security, and adversary simulation, shaping how AI technologies enhance security while staying current with emerging AI innovations and responsible

Qualifications

• BS or MS in CS, Cybersecurity, or related field, or equivalent experience.
• 5+ years of hands-on security engineering experience in one or more domains (e.g., 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 Python, Go, C/C++, or shell scripting.
• Experience building security systems, tools, or capabilities—engineering solutions, not just identifying problems.
• Demonstrated ability to operate independently on complex, ambiguous security challenges.
• Experience with forensic investigation—reconstructing attack timelines from evidence.
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact.
• Demonstrated ongoing AI skill development (prompt/context engineering, agent orchestration).
• Experience planning and executing adversary simulation campaigns or purple team exercises at scale.

Responsibilities

• Apply deep security expertise to build novel security capabilities and AI-powered defenses.
• Prototype AI-driven security solutions and translate security expertise into scalable AI-native systems.
• Develop detection and response capabilities across cloud, mobile, and on‑premise environments.
• Collaborate with research and security teams to advance AI security practices and incident readiness.

Skills

Security engineering

Threat intelligence

Incident response

Cloud security

Adversary simulation

Mobile security

Forensic investigation

AI/ML security

Python

Go

C/C++

Shell scripting

Agent orchestration

Prompt engineering

Education

BS or MS in CS/Cybersecurity or related field

Tools

Forensic tools

Job description

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.

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.

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.

• 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