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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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Go
- C++
Benefits
Boni & Prämien
- Bonus
Attraktive Vergütung
- Equity
Sonstige Vorteile
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Go
- C++
Benefits
Boni & Prämien
- Bonus
Attraktive Vergütung
- Equity
Sonstige Vorteile
- Disability accommodation
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
DeepMind
Branche
Science
Beschreibung
The company advances the state of the art in artificial intelligence for public benefit and scientific discovery.
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