Security Engineer - Applied AI
Job Description
Meta is building AI-augmented security capabilities through its Applied Artificial Intelligence (AAI) organization. In this role, you will help advance Security, Trust, and Safety by combining security engineering with adversarial research and detection/response development, with the goal of improving defenses at Meta scale.
This position is based in New York, NY (onsite) and offers a salary range of USD 184,000 - 257,000 per year.
What you’ll do
- Identify and solve ambiguous problems across Security, Trust, or Safety where the solution and requirements are not fully defined, delivering work that impacts multiple teams
- Architect security systems and capabilities that can be adopted broadly as standards across teams
- Drive platform-level decisions for AI-driven security solutions operating at scale
- Lead strategy and methodology for adversarial research, threat intelligence programs, and AI-augmented detection systems or investigation capabilities
- Define how security expertise translates into AI improvements by creating methodologies that make model improvement systematic and scalable
- Set and continuously improve quality standards for security engineering practices and processes across teams
- Define processes and workflows that enable scale and automation
- Build cross-organizational partnerships to shape how security and AI intersect, influencing technical direction beyond the immediate team
- Break complex problems into scoped workstreams, owning the most technically complex areas while enabling others to execute
- Mentor engineers across the organization, help build a community, and serve as a role model for security engineering practices and Meta values
- Support team-wide adoption of practices and standards, including proactive communication of updates to leadership audiences
- Share results through internal publications, knowledge sharing, and contributions to the broader security community
Required skills
- B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience
- 8+ years of hands-on security engineering experience in one or more areas such as detection engineering, threat intelligence, incident response, cloud security, adversary simulation, offensive security, mobile/platform security, digital forensics, trust and safety
- Deep expertise in attacker tactics, techniques, and procedures with a demonstrated ability to advance the state of the art
- Proficiency in coding, including experience with Python or Rust
- Track record of architecting security systems or programs that operate at scale and influence how others build
- Demonstrated ability to define and drive complex, ambiguous problem spaces with group-level impact
- Experience driving alignment and resolution across multiple teams and cross-functional partners
Technologies
- Python
- Rust
Preferred qualifications
- Background in supply chain security, mobile platform security, network protocol security, or AI/ML security
- Experience leveraging AI tools to accelerate security workflows and enhance operational capability
- Demonstrated ongoing AI skill development (for example, prompt/context engineering and agent orchestration) and staying current with emerging AI technologies
- Experience with cloud security operations, cloud detection and response, or cloud-native defense
- Experience improving AI model performance through expert feedback, red teaming, or evaluation design
- Experience adhering to and implementing responsible, ethical AI practices such as risk assessment, bias mitigation, and quality/accuracy reviews
- Experience in forensic investigation, including reconstructing attack timelines from evidence across multiple sources
- Experience with hands-on investigations across the Trust & Safety domain
- Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (such as efficiency gains and quality improvements)
- Contributions to the security community through original research, tools, conference presentations, or publications
- Experience creating structured methodologies that scale security expertise across teams
- Experience planning and executing adversary simulation campaigns or purple team exercises at scale