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Security Engineer, Applied AI

Meta
London, GBR
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
PythonGoC/C++shell scriptingAWSGCP

Full Job Posting

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 adversary research, threat analysis, detection engineering, 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 signal, 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 increasing independence, contributing to 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 related field, or equivalent experience. OR PhD + 2 years of hands-on security engineering experience
  • 5+ years of hands-on security engineering experience in one or more domains: detection engineering, threat intelligence, incident response, cloud security, adversary simulation, offensive 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

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience leveraging AI tools (LLMs, agents, orchestration systems) to accelerate security workflows and enhance operational capability
  • Contributions to the security community (original research, tools, CTF design, conference presentations, publications)
  • Experience creating structured methodologies that scale security expertise across teams
  • Experience planning and executing adversary simulation campaigns or purple team exercises at scale
  • Experience with cloud security operations (AWS/GCP/Azure), cloud detection and response, or cloud-native defense
  • Experience with forensic investigation — reconstructing attack timelines from evidence across multiple sources
  • Background in supply chain security, mobile platform security, network protocol security, or AI/agent security
  • Experience improving AI model performance through expert feedback, red-teaming, or evaluation design

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