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Senior Security Engineer, Agentic Red Team

Google DeepMind · Mountain View, CA, USA · New York, NY, USA · Zürich, Switzerland

Frontier labonsiteSenior$174k–$252k
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At a glance

Highlights

  • Close the Agentic Launch Gap by catching novel AI risks before formal reviews.
  • Execute multi-turn attacks on production AI models to expose reasoning flaws.
  • Codify findings into automated guardrails for all Google agent developers.

What they offer

  • 15% bonus target
  • equity
  • benefits

Ideal candidate

Offensive-minded engineer who thrives in high-velocity teams and partners closely with builders to turn complex AI risks into practical, lasting defenses.

Requirements

  • Bachelor's degree in Computer Science, Information Security, or equivalent practical experience
  • 5 years of experience in Red Teaming, Offensive Security, or Adversarial Machine Learning
  • Experience with LLM architectures, agentic workflows and AI vulnerability classes
  • Experience developing exploits for GenAI models such as prompt injection and training data extraction
  • Experience working with product teams or in a startup-like environment
  • Familiarity with AI safety benchmarks, evaluation frameworks and fuzzing techniques
  • Ability to translate complex probabilistic risks into actionable engineering fixes
  • Excellent coding skills in Python, Go, or C++ with experience building security tools

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗

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