Security Engineer - Applied AI

Meta Careers; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Security Engineer to join the Applied AI Organization (AAI). You will blend hands-on security engineering with applied AI research to build AI-powered defenses and scalable, security-focused systems at Meta's scale.

You will lead adversarial research, threat intelligence programs, and AI-augmented detection capabilities, mentoring engineers and shaping how security expertise translates into AI capabilities across teams.

Qualifications

• 8+ years of hands-on security engineering experience in one or more domains such as detection engineering, threat intelligence, incident response, cloud security, or adversary simulation.
• Deep expertise in attacker tactics, techniques, and procedures with ability to advance the state of the art.
• Proficiency in coding with Python or Rust.
• Track record of architecting security systems or programs that operate at scale and influence others.
• Ability to define and drive complex, ambiguous problem spaces with group-level impact.

Responsibilities

• Architect security systems and capabilities that set the standard across teams.
• Lead strategy and methodology for adversarial research, threat intelligence, and AI-augmented detection/investigation capabilities.
• Shape how security expertise translates into AI capabilities and ensure scalable model improvements.
• Mentor engineers, drive cross-organizational partnerships, and set quality standards for security engineering practices.

Skills

Security engineering

Threat intelligence

Incident response

Adversary simulation

Cloud security

Digital forensics

Trust and safety

Education

B.S./M.S. in Computer Science or Cybersecurity

Equivalent experience

Tools

Python

Rust

Job description

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 teamsArchitect security systems and capabilities that set the standard across teamsdrive platform-level decisions for AI-driven security solutions at Meta's scaleLead the strategy and methodology for adversarial research, threat intelligence programs, detection systems, or investigation capabilities augmented by AIShape how security expertise translates into AI capability: define the methodologies that make model improvement systematic and scalableSet and improve quality standards for security engineering practices and processes across teamsdefine processes and workflows that achieve scale and automationDrive cross-organizational partnerships that define how security and AI intersect: influence technical direction beyond the immediate teamBreak down problems into smaller, scoped workstreams, owning the most technically complex pieces while enabling others to execute against the overall solutionMentor other engineers across the organization, build a community, and act as a role model for security engineering practices and Meta valuesDrive team-wide adoption of practices and standardsproactively communicate updates to leadership audiencesDisseminate findings through internal publications, knowledge sharing, and contributions to the broader security communityMinimum Qualifications:B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience8+ 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 safetyDeep expertise in attacker tactics, techniques, and procedures with demonstrated ability to advance the state of the artProficiency in coding with experience in languages such as Python or RustTrack record of architecting security systems or programs that operate at scale and influence how others buildDemonstrated ability to define and drive complex, ambiguous problem spaces with group-level impactExperience in driving alignment and resolution across multiple teams and cross-functional partnersPreferred Qualifications:Background in supply chain security, mobile platform security, network protocol security, or AI/ML securityExperience leveraging AI tools to accelerate security workflows and enhance operational capabilityDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience with cloud security operations, cloud detection and response, or cloud-native defenseExperience improving AI model performance through expert feedback, red teaming, or evaluation designExperience 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 sourcesExperience in hands on investigations across the Trust & Safety domainDemonstrated 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 teamsExperience in planning and executing adversary simulation campaigns or purple team exercises at scaleAbout 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.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$184,000/year to $257,000/year + bonus + equity + benefitsIndividual 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.