Application Guide

How to Apply for AI Red Teamer

at HiddenLayer

🏢 About HiddenLayer

HiddenLayer is a pioneering security startup focused exclusively on protecting AI/ML systems, a rapidly growing niche in cybersecurity. Their culture emphasizes deep technical expertise and collaboration with data scientists, offering the chance to work on cutting-edge adversarial attacks. As a remote-first company, they provide flexibility while tackling critical challenges in AI security.

About This Role

As an AI Red Teamer at HiddenLayer, you will simulate sophisticated attacks on clients' AI models, including generative systems, to uncover vulnerabilities like jailbreaking and prompt injection. Your work directly shapes security recommendations and helps build safer AI deployments, making you a key player in the emerging field of ML security.

💡 A Day in the Life

Your day might start with a standup discussing ongoing red team engagements, followed by developing a jailbreak attack on a client's LLM using Python and Hugging Face. After lunch, you'd analyze results, draft a vulnerability report with mitigation steps, and collaborate with data scientists to refine attack methods. The afternoon could involve researching new adversarial techniques or presenting findings to clients.

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🎯 Who HiddenLayer Is Looking For

  • Hands-on experience in penetration testing or red teaming, specifically targeting AI/ML systems (e.g., adversarial examples, model poisoning).
  • Deep knowledge of adversarial ML techniques such as evasion, poisoning, jailbreaking, and prompt injection, with practical implementation skills.
  • Proficient in Python and experienced with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
  • Strong technical writing skills to produce clear, actionable vulnerability reports and communicate risks to both technical and non-technical stakeholders.

📝 Tips for Applying to HiddenLayer

1

Highlight specific AI red teaming projects in your resume, e.g., 'Developed adversarial evasion attacks on a facial recognition model, achieving 95% success rate'.

2

Tailor your cover letter to mention HiddenLayer's focus on generative AI security, referencing their public resources like blogs or whitepapers.

3

Showcase your Python skills by sharing a GitHub repo with adversarial ML examples (e.g., using Foolbox or ART).

4

Mention any experience with red teaming frameworks like MITRE ATLAS or OWASP ML Top 10 in your application.

5

If you have published research or CTF wins related to AI security, include links to demonstrate thought leadership.

✉️ What to Emphasize in Your Cover Letter

["Your passion for AI security and why HiddenLayer's mission to secure ML systems resonates with you.", "Specific examples of adversarial attacks you've executed (e.g., jailbreaking an LLM or poisoning a classification model).", 'Your ability to collaborate with data scientists and translate technical vulnerabilities into business risks.', "How your background in red teaming and Python equips you to develop novel attacks for HiddenLayer's clients."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read HiddenLayer's blog posts and case studies on adversarial ML attacks and their AISec platform.
  • → Familiarize yourself with the MITRE ATLAS framework for adversarial ML threats.
  • → Review recent vulnerabilities in popular AI frameworks (e.g., PyTorch, TensorFlow) to understand attack surfaces.
  • → Study HiddenLayer's competitors (e.g., Robust Intelligence, CalypsoAI) to differentiate their approach.
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through how you would design a red team assessment for a generative AI chatbot.
2 Describe a time you discovered a critical vulnerability in an ML system; how did you document and communicate it?
3 Explain the difference between model poisoning and evasion attacks, and when each is applicable.
4 How would you approach testing a proprietary LLM with limited API access?
5 What are the key security risks in the ML supply chain, and how would you assess them?
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⚠️ Common Mistakes to Avoid

  • Submitting a generic red teaming resume without AI-specific examples—this role demands ML focus.
  • Overemphasizing traditional network penetration testing while downplaying adversarial ML techniques.
  • Failing to demonstrate Python proficiency or provide code samples; this is a technical role.

📅 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 HiddenLayer!

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