Security Engineer, Applied AI

Meta; Honolulu (HI); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta is seeking a Security Engineer to join our Applied Artificial Intelligence (AAI) organization. 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, leveraging AI tools to accelerate impact and shaping what AI security becomes.

Qualifications

• 5+ years hands-on security engineering experience in one or more domains.
• Extensive knowledge of attacker tactics, techniques, and procedures.
• Proficiency in coding with 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.

Responsibilities

• Identify and solve complex security problems requiring multi-step reasoning.
• Build security products and AI-driven capabilities at scale.
• Design adversarial research, threat intelligence analysis, detection engineering, or investigation workflows augmented by AI.
• Improve AI model security reasoning via signals, evaluation, and feedback.
• Develop reusable methodologies to advance 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 productionize security innovations.
• Drive end-to-end execution of complex security initiatives.
• Disseminate findings through internal publications and community contributions.

Skills

Hands-on security engineering

Attackers TTPs

Programming languages

Security systems/tools development

Independent problem solving

Job description

Summary

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.

Required Skills

Security Engineer, Applied AI Responsibilities:

1. Apply deep security domain expertise to identify, scope, and solve complex security problems that require multi-step reasoning, novel approaches, and expert judgment

2. Build security products, tools, and capabilities — prototyping AI-driven solutions to real-world security challenges at Meta's scale

3. Design and execute adversarial research, threat intelligence analysis, detection engineering, platform security research, or investigation workflows augmented by AI tools and agents

4. Identify where AI models lack security reasoning capability and directly contribute to improving them through expert-generated signals, evaluation, and feedback

5. Develop novel methodologies and reusable approaches that advance both Meta's security posture and AI system performance in security domains

6. 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

7. Partner cross-functionally with engineering, product, and research teams to incorporate security innovations into production AI systems

8. Drive end-to-end execution of complex security initiatives with independence, contributing to the technical direction within the team

9. Disseminate findings through internal publications, knowledge sharing, and contributions to the broader security community

Minimum Qualifications

Minimum Qualifications:

1. 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

2. Extensive knowledge of attacker tactics, techniques, and procedures

3. Proficiency in coding with experience in languages such as Python, Go, C/C++, or shell scripting

4. Experience building security systems, tools, or capabilities — not just identifying problems but engineering solutions

5. Demonstrated ability to operate independently on complex, ambiguous security challenges

Preferred Qualifications

Preferred Qualifications:

1. Experience with forensic investigation — reconstructing attack timelines from evidence across multiple sources

2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. Contributions to the security community (original research, tools, CTF design, conference presentations, publications, vulnerability disclosures)

5. Background in supply chain security, mobile platform security, network protocol security, or AI/agent security

6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

7. Experience improving AI model performance through expert feedback, red-teaming, or evaluation design

8. Experience in planning and executing adversary simulation campaigns or purple team exercises at scale

9. Experience with mobile platform security (iOS/Android), including IPC exploitation, secure enclave analysis, or platform-specific vulnerability research

10. Experience with cloud security operations (AWS/GCP/Azure), cloud detection and response, or cloud-native defense

11. Experience in creating structured methodologies that scale security expertise across teams

Public Compensation

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

Industry

Internet

Equal Opportunity

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