Security Engineer - Applied AI

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Security Engineer - Applied AI

Security Engineer - Applied AI

Menlo Park, CA +3 locations

Technical Security

+ 3 more

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Meta is seeking Security Engineers 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, Trust, and Safety.

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 adversarial 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 experienced 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.

Security Engineer - Applied AI Responsibilities

• Identify and solve ambiguous problems within a Security, Trust, or Safety domain where the solution and requirements are initially unknown, driving solutions that affect multiple teams
• Architect security systems and capabilities that set the standard across teams; drive platform-level decisions for AI-driven security solutions at Meta's scale
• Lead the strategy and methodology for adversarial research, threat intelligence programs, detection systems, or investigation capabilities augmented by AI
• Shape how security expertise translates into AI capability: define the methodologies that make model improvement systematic and scalable
• Set and improve quality standards for security engineering practices and processes across teams; define processes and workflows that achieve scale and automation
• Drive cross-organizational partnerships that define how security and AI intersect: influence technical direction beyond the immediate team
• Break down problems into smaller, scoped workstreams, owning the most technically complex pieces while enabling others to execute against the overall solution
• Mentor other engineers across the organization, build a community, and act as a role model for security engineering practices and Meta values
• Drive team-wide adoption of practices and standards; proactively communicate updates to leadership audiences
• 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
• 8+ years of hands-on security engineering experience in one or more domains: 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 demonstrated ability to advance the state of the art
• Proficiency in coding with experience in languages such as 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 in driving alignment and resolution across multiple teams and cross-functional partners

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 (e.g., prompt/context engineering, 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 (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with forensic investigation — reconstructing attack timelines from evidence across multiple sources
• Experience in hands on investigations across the Trust & Safety domain
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Contributions to the security community (original research, tools, conference presentations, publications)
• Experience in creating structured methodologies that scale security expertise across teams
• Experience in planning and executing adversary simulation campaigns or purple team exercises at scale

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $184,000/year to $257,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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