Application Guide

How to Apply for Gen AI Security Researcher

at ActiveFence

🏢 About ActiveFence

ActiveFence specializes in Trust & Safety solutions for online platforms, helping companies combat harmful content at scale. What makes them unique is their focus on proactive threat detection rather than reactive moderation, positioning them at the intersection of cybersecurity and content safety. Working here means tackling cutting-edge challenges in AI security within the rapidly evolving landscape of online platform governance.

About This Role

As a Gen AI Security Researcher at ActiveFence, you'll conduct sophisticated redteaming operations specifically targeting generative AI systems to identify vulnerabilities before they're exploited. This role is impactful because you'll be directly responsible for making AI models more robust and secure, directly supporting ActiveFence's mission of creating safer online environments through proactive security research.

💡 A Day in the Life

A typical day involves designing and executing redteaming operations against generative AI models, analyzing results to identify novel vulnerabilities, and collaborating with engineering teams to implement security improvements. You'll spend time researching emerging AI security threats, developing new testing methodologies, and contributing to automated security testing frameworks while staying current with regulatory developments affecting AI safety.

🎯 Who ActiveFence Is Looking For

  • Has 3+ years of hands-on offensive cybersecurity experience with web applications and APIs, OR is an advanced Ph.D. candidate with published research in AI/cybersecurity intersections
  • Possesses strong Python/JavaScript skills specifically applied to AI security testing and vulnerability discovery
  • Demonstrates practical experience with redteaming methodologies and can design novel techniques to bypass AI security mechanisms
  • Stays current with emerging AI regulations, legal risks, and safety-by-design strategies relevant to generative AI systems

📝 Tips for Applying to ActiveFence

1

Highlight specific redteaming operations you've conducted, especially if they involved AI/ML systems or generative models

2

Include concrete examples of how you've designed techniques to bypass security mechanisms, not just standard vulnerability testing

3

Demonstrate your understanding of ActiveFence's specific focus on Trust & Safety by connecting your experience to content safety challenges

4

If you're a Ph.D. candidate, emphasize practical applications of your research rather than just theoretical contributions

5

Show how you stay current with AI regulations and safety-by-design approaches, which are explicitly mentioned in the job description

✉️ What to Emphasize in Your Cover Letter

['Your hands-on experience with redteaming operations, particularly any involving AI/ML systems', "Specific techniques you've developed or used to bypass security mechanisms in generative AI", "How your background aligns with ActiveFence's Trust & Safety mission and their proactive approach to security", 'Your understanding of the regulatory landscape for AI and how it impacts security research']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • ActiveFence's specific Trust & Safety solutions and how they differentiate from competitors
  • Recent blog posts or research publications from ActiveFence's security team
  • The company's hybrid work model (Ramat Gan office + remote) and how it impacts collaboration
  • How ActiveFence approaches AI regulation compliance and safety-by-design in their products
Visit ActiveFence's Website →

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through a specific redteaming operation you conducted against an AI system
2 How would you design a novel attack to bypass the latest AI security mechanisms?
3 What emerging trends in AI security are you following, and how do they impact Trust & Safety?
4 How would you automate security testing for generative AI infrastructure?
5 Describe your experience working with cross-functional teams on security improvements
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing only on defensive security experience without demonstrating offensive/redteaming capabilities
  • Generic cybersecurity experience without specific examples related to AI/ML systems
  • Failing to connect your skills to ActiveFence's specific Trust & Safety mission and generative AI focus

📅 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 ActiveFence!