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Security Engineer, Applied AI

Meta
Menlo Park, USA
Full-time
Senior · 5+ years experience
Onsite
USD 154000-217000 yearly / year
Discovered 1 weeks ago
PythonGoCC++shell scriptingAWS
Free

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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

Compensation

  • $154,000/year - $217,000/year; Country: US; Bonus eligible; Equity eligible

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