Product Security Engineer, Intern

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. 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 users. The scale, diversity, and importance of the products we secure demands an innovative, AI-driven approach. In this role you'll be focused on securing web applications/APIs and with an AI-first modality, 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. If you're passionate about security and leveraging AI to help secure products that billions of people use and trust, come join us at Meta!

Responsibilities

• AI-Enhanced Security Reviews: perform manual design and implementation reviews augmented by AI tools for products and services that make up the Meta ecosystem, like Instagram, WhatsApp, Facebook, and more.
• AI-Driven Automated Analysis and Secure Frameworks: build tools leveraging machine learning models for security automation (static and dynamic analysis) and intelligent frameworks that enable Meta to scale security consistently across all products.
• AI-Assisted Research and Mitigation: research, develop, and apply mitigations to products using LLMs and other ML tech to identify and prevent vulnerabilities from being exploited.
• Security AI Enhancement: contribute to the fine-tuning of AI agents, specifically designed for security use cases, threat detection, and vulnerability assessment.

Minimum Qualifications

• 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 interpreted languages (PHP, Ruby, Python).
• Proven project management and execution skills.
• Self-motivated and proactive, with ability to identify key areas of focus and take initiative to drive results.
• Strong communication and collaboration skills.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Intent to return to full-time degree program after completion of the internship.

Preferred Qualifications

• 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.