Application Guide

How to Apply for Security Lead, Agentic Red Team

at Google DeepMind

🏢 About Google DeepMind

Google DeepMind is at the forefront of AI research, known for groundbreaking achievements like AlphaGo and AlphaFold. The company uniquely combines ambitious long-term research with real-world product impact, working on some of the most challenging problems in AI safety and security. This role offers the opportunity to work on cutting-edge agentic AI systems while contributing directly to Google's AI safety initiatives.

About This Role

This Security Lead role involves directing a specialized red team that conducts rapid, high-impact engagements against production AI models and systems. You'll develop advanced attack sequences targeting GenAI-specific vulnerabilities and create automated validation systems that transform manual discoveries into robust testing frameworks. This position is critical for securing Google's most advanced AI systems against emerging threats in agentic environments.

💡 A Day in the Life

A typical day might involve reviewing new agentic AI system designs for potential vulnerabilities, developing sophisticated prompt injection attacks against test models, and collaborating with product teams to implement automated detection for discovered weaknesses. You'll likely spend time analyzing attack telemetry from previous engagements and designing new testing methodologies for emerging AI capabilities.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Google DeepMind

Interview Prep

Practice questions for this role

🎯 Who Google DeepMind Is Looking For

  • Has hands-on experience with adversarial machine learning techniques specifically targeting LLMs and agentic workflows (not just traditional red teaming)
  • Can demonstrate practical experience with chain-of-thought reasoning vulnerabilities, tool misuse, or multi-turn prompt injection attacks
  • Has successfully collaborated with product teams in fast-paced environments to implement security improvements during release cycles
  • Possesses deep technical understanding of both offensive security methodologies and the unique challenges of securing non-deterministic AI systems

📝 Tips for Applying to Google DeepMind

1

Highlight specific examples of red teaming against AI/ML systems, not just traditional infrastructure - quantify impact where possible

2

Demonstrate understanding of Google's AI safety research by referencing specific papers or initiatives from DeepMind's publications

3

Showcase experience with automation frameworks for security testing, particularly those applicable to AI systems

4

Include concrete examples of working in a consulting capacity with engineering teams to drive security improvements

5

Tailor your resume to emphasize agentic AI security experience over general cybersecurity credentials

✉️ What to Emphasize in Your Cover Letter

['Your experience with adversarial attacks on LLMs and agentic workflows (cite specific techniques or methodologies)', 'Examples of translating manual vulnerability discoveries into automated testing frameworks', 'Experience collaborating with product teams in fast-paced development environments', 'Your vision for securing non-deterministic AI systems against emerging threats']

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → DeepMind's recent publications on AI safety and alignment, particularly those related to red teaming or adversarial testing
  • → Google's AI Principles and how they apply to security testing of production AI systems
  • → Specific AI products and platforms within Google that likely use agentic workflows
  • → Previous talks or publications by DeepMind's security team members on AI red teaming

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk through a specific red team engagement you conducted against an AI/ML system - what vulnerabilities did you target and how?
2 How would you design an automated testing framework for detecting privilege escalation through tool usage in agentic AI?
3 Describe your approach to working with resistant product teams to implement security improvements during tight release cycles
4 What novel attack vectors do you foresee for agentic AI systems in the next 12-18 months?
5 How would you measure the effectiveness of a red team program focused on AI systems versus traditional infrastructure?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing exclusively on traditional infrastructure red teaming without demonstrating AI/ML-specific experience
  • Presenting generic security knowledge without deep technical understanding of LLM architectures and agentic workflows
  • Failing to show experience with the consulting/collaboration aspects of the role - this isn't just a technical execution position

📅 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 Google DeepMind!

← Back to Job Listing Apply Now →