Security Engineer, Applied AI

Meta; Dover; On-site; CAD 212,000 - 299,000; Full time

Job summary

Meta is seeking a Security Engineer to join our Applied Artificial Intelligence (AAI) organization. You will blend deep security expertise with frontier AI techniques, building AI-augmented defenses and shaping AI-driven security systems.

You will prototype security products, conduct adversary research, and collaborate with engineers, product teams, and researchers to improve security posture across Meta's AI platforms.

Qualifications

• Advanced degree or equivalent experience in CS, cybersecurity, or related field.
• 5+ years hands-on security engineering in domains like threat intel, incident response, or cloud security.
• Proficiency in Python, Go, C/C++, or shell scripting.
• Experience building security systems and engineering solutions.

Responsibilities

• Apply deep security domain expertise to solve complex problems requiring multi-step reasoning.
• Prototype AI-driven security solutions and defenses at scale.
• Conduct adversarial research, threat intelligence analysis, and detection engineering.
• Collaborate with model researchers to translate security insights into training signals.
• Drive end-to-end execution of security initiatives and share findings internally.

Skills

Python

Go

C/C++

Shell scripting

Security engineering

Threat intelligence

Education

B.S. or M.S. in Computer Science, Cybersecurity, or related field

Tools

AI tools and agents

Cloud security tooling

Job description

Summary:

Meta is seeking a Security Engineer 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. 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 adversary 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 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.

Required Skills:

Security Engineer, Applied AI Responsibilities:

1. Apply deep security domain expertise to identify, scope, and solve complex security problems that require multi‑step reasoning, novel approaches, and expert judgment
2. Build security products, tools, and capabilities ‑ prototyping AI‑driven solutions to real‑world security challenges at Meta's scale
3. Design and execute adversarial research, threat intelligence analysis, detection engineering, platform security research, or investigation workflows augmented by AI tools and agents
4. Identify where AI models lack security reasoning capability and directly contribute to improving them through expert‑generated signals, evaluation, and feedback
5. Develop novel methodologies and reusable approaches that advance both Meta's security posture and AI system performance in security domains
6. 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
7. Partner cross‑functionally with engineering, product, and research teams to incorporate security innovations into production AI systems
8. Drive end‑to‑end execution of complex security initiatives with independence, contributing to the technical direction within the team
9. Disseminate findings through internal publications, knowledge sharing, and contributions to the broader security community

Minimum Qualifications:

Minimum Qualifications:

1. B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience
2. 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
3. Extensive knowledge of attacker tactics, techniques, and procedures
4. Proficiency in coding with experience in languages such as Python, Go, C/C++, or shell scripting
5. Experience building security systems, tools, or capabilities ‑ not just identifying problems but engineering solutions
6. Demonstrated ability to operate independently on complex, ambiguous security challenges

Preferred Qualifications:

Preferred Qualifications:

1. Experience with forensic investigation ‑ reconstructing attack timelines from evidence across multiple sources
2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
4. Contributions to the security community (original research, tools, CTF design, conference presentations, publications, vulnerability disclosures)
5. Background in supply chain security, mobile platform security, network protocol security, or AI/agent security
6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
7. Experience improving AI model performance through expert feedback, red‑teaming, or evaluation design
8. Experience in planning and executing adversary simulation campaigns or purple team exercises at scale
9. Experience with mobile platform security (iOS/Android), including IPC exploitation, secure enclave analysis, or platform‑specific vulnerability research
10. Experience with cloud security operations (AWS/GCP/Azure), cloud detection and response, or cloud‑native defense
11. Experience in creating structured methodologies that scale security expertise across teams

Public Compensation:

$154,000/year to $217,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff… 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].