Senior Security Engineer, Agentic Red Team
Google DeepMind · Mountain View, CA, USA · New York, NY, USA · Zürich, Switzerland
Frontier labonsiteSenior$174k–$252k
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)
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