Frontier Safety Mitigations Research Engineer, DeepMind

Overview

In this role you will build advanced classifiers and data pipelines to detect misuse, and own end-to-end evaluation and rapid iteration. You will create cross-context monitoring to identify large-scale attack vectors and deploy data-driven response systems against persistent actors. You will evaluate and secure agentic AI systems through threat modeling and robust mitigations, and advance automated red-teaming and adversarial robustness research. This position sits at the frontier of AI safety and product innovation, with impact across research and production in a mission-driven lab.

Responsibilities

• Build classifiers and data pipelines to detect misuse
• Develop cross-context monitoring and signal aggregation for detecting large-scale attack vectors
• Implement data-driven, semi-automated account-level response systems against malicious actors
• Evaluate and secure agentic AI systems with threat models and testing environments
• Advance red-teaming and adversarial robustness research using multi-turn/agentic attacks

Key requirements

• Bachelor's degree in Computer Science, Machine Learning, or related technical field, or equivalent practical experience
• 5 years of software development experience including Python
• Experience with research-to-deployment pipeline in frontier AI
• Experience working in a software engineering or research team

• collaboration
• architectural judgement
• problem-solving under uncertainty
• Python
• adversarial ML
• threat modeling

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