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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
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