Product Security Engineer Intern @ Meta
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Job Details
About the Role
Meta is seeking a Product Security Engineer Intern with an AI-first mindset. You will join the Product Security team to enhance detection, prevention, and mitigation of risks inherent in software development through machine learning, automation, and intelligent systems.
Responsibilities
- Conduct AI-enhanced security reviews for Meta products.
- Build automated analysis tools using ML models.
- Research and develop mitigations with AI-assisted tools.
- Contribute to fine-tuning AI agents for threat detection.
Minimum Qualifications
Applicants must be full-time degree-seeking students pursuing a Bachelors or Masters in Computer Science or a related field. Experience with web security vulnerabilities, secure code development in languages like PHP, Ruby, Python, Java, Kotlin, Swift, and Objective-C, as well as proven project management skills, are required. Work authorization is required at the time of hire and throughout employment.
Preferred Qualifications
Background in integrating AI/ML capabilities into security processes; hands-on experience with machine learning frameworks such as TensorFlow and PyTorch; experience with AI-powered security tools; and contributions to the security community through research or open source projects.
About Meta
Meta builds technologies that connect billions worldwide. With platforms like Instagram, WhatsApp, and Facebook, and emerging immersive technologies, Meta continuously redefines how people interact socially. Meta is an Equal Employment Opportunity and Affirmative Action employer committed to accessibility and diversity.
Compensation and Benefits
The internship offers between $7,313/month and $11,293/month plus benefits. Compensation is based on skills, qualifications, experience, and location.
Key skills/competency
- Product Security
- AI
- Cybersecurity
- Vulnerability Research
- Web Security
- Mobile Security
- Machine Learning
- Automation
- Risk Mitigation
- Secure Code
How to Get Hired at Meta
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to Meta Product Security needs.
- Highlight AI projects: Emphasize ML and security experiences.
- Showcase collaboration: Detail teamwork and project management.
- Prepare for technical questions: Focus on secure code and vulnerability cases.