Product Security Engineer, Intern (Summer 2027)

Meta; Menlo Park, New York (CA, NY); On-site; USD 34,000 - 55,000; Full time

Job summary

Meta is seeking an AI-first Product Security Engineer Intern to join our security teams. You will work with Web and Native Security engineers to identify vulnerabilities, apply AI/ML to threat detection, and contribute to secure coding practices across Meta’s apps and services.

The internship emphasizes collaboration with engineering and product teams, hands-on vulnerability discovery, and building AI-powered security tooling that scales to billions of users.

Qualifications

• Enrolled in a full-time degree program in CS or related field; expected graduation not earlier than the internship end date.
• Experience applying security practices to web apps and APIs; understanding of common vulnerabilities.
• Demonstrated ability to work on security and software projects with ownership and follow-through.
• Familiarity with secure coding practices and code review processes.
• Ability to communicate clearly with diverse engineering and product teams.
• Experience with AI/ML in security contexts and related tooling is a plus.

Responsibilities

• Collaborate with product and engineering teams to design AI-enhanced security guidance.
• Assist Web Security and Native Security engineers on vulnerability research and tooling.
• Contribute to secure software development lifecycle and threat modeling.
• Participate in vulnerability hunting, fuzzing ideas, and automated test initiatives.
• Document findings and help drive remediation with actionable guidance.
• Present security concepts and progress to stakeholders across teams.

Skills

Web security vulnerabilities

Code vulnerabilities

Secure coding

Project management

Self-motivation

Cross-team communication

Work authorization

AI/ML security

ML frameworks

AI-powered tools

Security community

AI/ML coursework

Degree return intent

Education

Bachelor's/Master's in CS

Tools

PHP

Ruby

Python

Java

Kotlin

Swift

Objective-C

Job description

Meta is looking for an AI-first Product Security Engineer Intern.

Meta's Product Security team focuses on detection, prevention, and mitigation of risk that is inherent in building software through an AI-first lens -- leveraging machine learning, automation, and intelligent systems to revolutionize how we approach vulnerability research and secure software development. Product Security Engineers partner with their engineering and product teams to provide and develop AI-enhanced guidance and tooling that help minimize security and privacy risk for over 3 billion of our users. The scale, diversity, and importance of the products we secure demands an innovative, AI-driven approach -- come help us make life hard for the bad guys using cutting-edge AI!

Meta’s Product Security team is hiring Security Interns focused in the following areas:

Web Security:

focused on securing web applications/APIs and ensuring we have robust architectural browser protections. Web Security Engineers on Product Security team work on a wide range of projects in PHP, Python, Perl, Ruby, etc.

Native Security:

focused on securing the C, C++, and Rust code at the core of Meta's apps, servers, and devices, media and file parsers, end-to-end encrypted messaging, real-time calling, and the native libraries shared across billions of installs. Native Security Engineers on the Product Security team use AI agents and fuzzing to find and reproduce memory-safety vulnerabilities at scale, harden products with exploit mitigations such as sandboxing, hardware memory tagging, and control-flow integrity, and drive adoption of memory-safe languages like Rust. Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors or Masters degree in computer science or a related field

• Experience with exploiting common web security vulnerabilities
• Experience finding vulnerabilities in code (PHP, Ruby, Python, Java, Kotlin, Swift, Objective-C).
• Knowledge of secure code development
• Proven project management and execution skills
• Self-motivated and proactive, with ability to identify key areas of focus and take initiative to drive results
• Demonstrated ability to communicate clearly and effectively across diverse teams and stakeholders, fostering collaboration to achieve shared goals
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience writing software that enables security processes with integration of AI/ML capabilities
• Hands‑on experience with machine learning frameworks (TensorFlow, PyTorch, etc.) applied to security problems
• Experience with AI‑powered security tools, automated penetration testing, or intelligent threat detection systems
• Contributions to the security community (public research, blogging, presentation, open source, etc.) particularly around AI in cybersecurity
• Coursework or projects involving AI/ML applications in cybersecurity, anomaly detection, or automated vulnerability discovery
• Intent to return to full‑time degree program after completion of the internship