Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Sep 30, 2026. Meta scores B on the Alion truth index.
In this role, you'll be the expert that engineering and product teams turn to for AI security and native-code security guidance, giving them the confidence to make sound product decisions. Join us in protecting Meta's products and the people who use them.
Responsibilities
Provide security guidance on a constant stream of new products and technologies Take a leadership role in driving internal security and privacy initiatives Analyze, assess, and respond to various internet threats Interact directly with the security community regarding mobile security vulnerabilities and threats Conduct regular security assessments and specializing in mobile platform and application code
Qualifications
B.S. or M.S. in Computer Science or related field, or equivalent experience 6+ years of experience in security engineering, including vulnerability research, penetration testing, or security assessments of production systems 3-5+ years programming experience with at least one of the following languages: Python, PHP, Ruby, or similar scripting languages 4+ years of experience reviewing C and C++. Knowledge of best practice secure code development Working knowledge of security architecture principles, least privilege Experience identifying and mitigating security and privacy risks in internet-facing products or services 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 (public research, blogging, presentations, bug bounty, etc.) Demonstrated knowledge of iOS or Android security model Knowledge of exploitation techniques, reverse engineering, or CTF experience Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience leveraging or developing mitigations Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Knowledge of memory safe programming languages: Rust, Obj-C , Java/Kotlin Experience with static analysis and fuzzing

