Meta's Security Engineering team is looking for a Security Engineer to help protect the billions of people who use Meta's family of products and services. In this role, you will identify and mitigate security vulnerabilities across Meta's infrastructure, applications, and platforms, working closely with engineering and product teams to drive systemic security improvements at scale. You will apply deep technical expertise in offensive and defensive security to reduce risk and build resilient systems that safeguard user data and platform integrity.

Qualifications:

5+ years of experience in security engineering, including vulnerability research, penetration testing, or security assessments of applications and infrastructure Experience identifying and exploiting common vulnerability classes such as memory corruption, injection flaws, authentication bypasses, or privilege escalation Experience developing security tooling, automation, or detection frameworks in one or more general-purpose programming or scripting languages Experience conducting threat modeling and security design reviews for large-scale distributed systems or web and mobile applications Experience collaborating with cross-functional engineering teams to drive security mitigations and communicate risk in written and verbal formats Bachelor's or Master's degree in Computer Science or related field or equivalent technical security experience Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Familiarity with security challenges specific to large-scale social platforms, including account integrity, data access controls, and API security Experience building static or dynamic analysis tools to identify security vulnerabilities at scale across large codebases Contributions to the security community through public research, vulnerability disclosures, bug bounty programs, conference presentations, or open-source tooling Experience with both offensive security techniques (e.g., red teaming, exploit development) and defensive security engineering (e.g., detection engineering, secure architecture design)