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Senior Security Engineer, Agentic Red Team(m/w/x)
Red teaming agentic services and production AI models for scientific discovery, engineering exploits. Experience developing exploits for GenAI models required. Focus on state-of-the-art AI security challenges.
Requirements
- Bachelor's degree in Computer Science, Information Security, or equivalent practical experience
- Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning
- Strong coding skills (Python, Go, C++) and security tool/automation experience
- Technical understanding of LLM architectures, agentic workflows, and AI vulnerability classes
- Hands-on experience developing GenAI model exploits
- Consulting experience with product teams or startup-like environment
- Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing
- Translation of complex probabilistic risks to engineering fixes
Tasks
- Conduct rapid security assessments on agentic services
- Identify GenAI vulnerabilities (e.g., prompt injection)
- Uncover tool-use escalation and lateral movement flaws
- Engineer and execute complex attack sequences
- Exploit non-deterministic model behaviors
- Exploit agentic logic errors and data poisoning
- Develop automated regression testing frameworks
- Transform manual discoveries into Auto Red Teaming
- Prevent regression in future model versions
- Partner with developers during design and build
- Provide immediate feedback to product teams
- Shorten feedback loops for defensive engineering
- Maintain and expand a library of attack patterns
- Curate agent-specific exploit primitives
- Establish robust release criteria for new models
- Codify findings into reusable guardrails
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Go
- C++
Benefits
Bonuses & Incentives
- Bonus
Competitive Pay
- Equity
Other Benefits
- Disability accommodation
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Senior Security Engineer, Agentic Red Team(m/w/x)
Red teaming agentic services and production AI models for scientific discovery, engineering exploits. Experience developing exploits for GenAI models required. Focus on state-of-the-art AI security challenges.
Requirements
- Bachelor's degree in Computer Science, Information Security, or equivalent practical experience
- Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning
- Strong coding skills (Python, Go, C++) and security tool/automation experience
- Technical understanding of LLM architectures, agentic workflows, and AI vulnerability classes
- Hands-on experience developing GenAI model exploits
- Consulting experience with product teams or startup-like environment
- Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing
- Translation of complex probabilistic risks to engineering fixes
Tasks
- Conduct rapid security assessments on agentic services
- Identify GenAI vulnerabilities (e.g., prompt injection)
- Uncover tool-use escalation and lateral movement flaws
- Engineer and execute complex attack sequences
- Exploit non-deterministic model behaviors
- Exploit agentic logic errors and data poisoning
- Develop automated regression testing frameworks
- Transform manual discoveries into Auto Red Teaming
- Prevent regression in future model versions
- Partner with developers during design and build
- Provide immediate feedback to product teams
- Shorten feedback loops for defensive engineering
- Maintain and expand a library of attack patterns
- Curate agent-specific exploit primitives
- Establish robust release criteria for new models
- Codify findings into reusable guardrails
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Go
- C++
Benefits
Bonuses & Incentives
- Bonus
Competitive Pay
- Equity
Other Benefits
- Disability accommodation
About the Company
DeepMind
Industry
Science
Description
The company advances the state of the art in artificial intelligence for public benefit and scientific discovery.
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