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Senior security engineer, agentic red team

Zürich
Google DeepMind
Inserat online seit: 22 April
Beschreibung

Snapshot
Artificial Intelligence could be one of humanity’s most useful inventions.
At Google
DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
*About Us**
The Agentic Red Team is a specialized, high-velocity unit within Google DeepMind Security. Our mission is to close the "Agentic Launch Gap"—the critical window where novel AI capabilities outpace traditional security reviews. Unlike traditional red teams that hand off reports and move on, we operate with extreme agility, embedding directly with product teams as both a consulting partner and an exploitation arm. We act as a "special forces" unit capable of jumping into high-priority launches, relying on Google Core for foundational system-level protections so we can focus exclusively on model and agent-layer risks.
The Role
As a Senior Security Engineer on the Agentic Red Team, you will be the primary technical executor of our adversarial engagements. You will work "in the room" with product builders, identifying architectural flaws during the design phase long before formal reviews begin.
Your core focus will be to perform complex, multi-turn attacks on production-level AI models, specifically targeting agentic behaviors like tool usage and reasoning chains. You will not only find vulnerabilities but also help close the loop by contributing to "Auto Red Teaming" frameworks and defensive strategies, ensuring that your findings are codified into reusable guardrails for all Google agent developers.
Key responsibilities
Execute Agile Red Teaming: Conduct rapid, high-impact security assessments on agentic services, focusing on vulnerabilities unique to GenAI such as prompt injection, tool-use escalation, ...

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