Application Guide

How to Apply for Research Scientist Intern, AI, Cyber Security, Safety

at Meta

🏢 About Meta

Meta is a global leader in AI research and social technology, with a dedicated focus on developing frontier models like Llama and advancing AI safety and security. Working here means contributing to cutting-edge research that impacts billions of users and shapes the future of responsible AI.

About This Role

This internship is centered on pioneering AI security techniques and defensive cyber capabilities for frontier models. You'll develop evaluation methodologies for cyber capabilities, leverage AI for vulnerability detection and patching, and collaborate with leading researchers to advance the field of AI cybersecurity.

💡 A Day in the Life

A typical day might involve experimenting with frontier LLMs to identify vulnerabilities, developing evaluation metrics for cyber capabilities, and collaborating with mentors and other researchers on defensive techniques. You'll also spend time reading recent papers, writing code, and participating in team meetings to share findings and brainstorm new approaches.

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🎯 Who Meta Is Looking For

  • PhD student in Computer Science, Machine Learning, or a related field with a strong publication record in AI safety, ML security, or cybersecurity.
  • Hands-on experience with large language models (e.g., GPT, Llama) and deep learning frameworks such as PyTorch or TensorFlow.
  • Proven background in cybersecurity, red-teaming, or adversarial machine learning, with practical skills in vulnerability detection and automated defense.
  • Ability to work remotely and collaboratively, with a passion for pioneering new AI security paradigms and evaluation methodologies.

📝 Tips for Applying to Meta

1

Tailor your resume to highlight specific projects where you applied LLMs to security tasks, such as red-teaming or vulnerability detection.

2

Include links to your publications and code repositories (e.g., GitHub) that demonstrate your expertise in AI safety or ML security.

3

Emphasize any experience with frontier models (e.g., Llama) and mention if you have contributed to open-source AI security tools.

4

In your application, explicitly connect your research interests to Meta's focus areas like defensive cyber capabilities and evaluation methodologies for cyber capabilities.

5

Leverage Meta's research blog and recent papers to reference specific projects (e.g., Llama Guard, CyberSecEval) in your cover letter or interviews.

✉️ What to Emphasize in Your Cover Letter

['Your specific research contributions to AI safety or ML security, especially those involving large language models and cybersecurity.', "How your skills align with the internship's focus on developing evaluation methodologies for cyber capabilities and automated cyber defense.", 'Your experience with red-teaming or adversarial testing of AI systems, and how it prepares you to pioneer new AI security paradigms.', "Your motivation to work at Meta specifically, referencing Meta's AI research initiatives and the opportunity to impact frontier models."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Meta's AI research blog and recent publications on AI safety, security, and frontier models like Llama.
  • → Meta's open-source AI security tools and frameworks, such as CyberSecEval and Llama Guard, to understand their current approaches.
  • → The backgrounds of researchers in Meta's AI security teams (e.g., via LinkedIn or Google Scholar) to identify potential mentors and their work.
  • → Meta's broader AI principles and responsible AI initiatives to align your application with the company's values and goals.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Your past research in AI security: be prepared to discuss in detail a project where you used LLMs for vulnerability detection or patching.
2 Technical questions on LLM architectures, fine-tuning, and evaluation metrics for security tasks.
3 Scenario-based problems: how would you design an evaluation framework to assess cyber capabilities of a frontier model?
4 Red-teaming methodologies: describe your approach to identifying and mitigating security risks in AI systems.
5 Meta's AI safety initiatives: discuss recent papers or tools from Meta (e.g., Llama Guard, CyberSecEval) and how you could contribute.
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Submitting a generic application that doesn't specifically address AI security or cybersecurity, as this role requires a clear focus in these areas.
  • Failing to demonstrate hands-on experience with LLMs and deep learning frameworks; theoretical knowledge alone is insufficient.
  • Ignoring Meta's specific research contributions in AI security, which shows a lack of genuine interest in the company's work.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Meta!

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