Security Engineer, Applied AI

Meta; New York, Menlo Park (NY, CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Meta is seeking a Security Engineer for the Applied Artificial Intelligence (AAI) organization. You will work at the intersection of deep security expertise and frontier AI, building novel security capabilities and AI-powered defenses.

You will apply expert judgment to real-world security problems, prototype AI-augmented protections, and influence security strategies for Meta's AI systems.

Qualifications

• BS/MS in Computer Science, Cybersecurity, or related field or equivalent experience.
• 5+ years of hands-on security engineering experience in multiple domains.
• Extensive knowledge of attacker tactics, techniques, and procedures.
• Proficiency in Python, Go, C/C++, or shell scripting; ability to engineer solutions.

Responsibilities

• Apply deep security domain expertise to identify, scope, and solve complex security problems.
• Build security products, tools, and capabilities — prototyping AI-driven solutions.
• Design and execute adversarial research, threat intelligence analysis, and detection engineering.
• Identify gaps in AI model security and contribute improvements via signals and feedback.
• Develop methodologies that advance Meta's security posture and AI system performance.
• Collaborate with model researchers to translate security expertise into training signals.
• Partner with engineering, product, and research teams to embed security in production AI systems.
• Drive end-to-end execution of complex security initiatives and share findings internally.

Skills

Security engineering

Python

Go

C/C++

Shell scripting

Threat intelligence

Adversarial research

Cloud security

Education

BS/MS in Computer Science or related field

Tools

Cloud platforms (AWS/GCP/Azure)

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.

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.

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

$154,000/year to $217,000/year + bonus + equity + benefits