← All roles

Frontier Safety Mitigations Research Engineer

Google· DeepMind
Apply on company site
LondonFull-timePosted 2w ago

About the role

Frontier Safety Mitigations Research Engineer at DeepMind, London. Focus on building classifiers, data pipelines, monitoring systems, and mitigations to detect and counter frontier AI misuse and attacks, with emphasis on automated red-teaming and adversarial robustness in a frontier AI environment.

Responsibilities

  • Build advanced classifiers and data pipelines to detect misuse, and own the end-to-end process from automated evaluation to rapid model iteration.
  • Build cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors.
  • Implement data-driven, semi-automated account-level response systems to detect, track, and apply strikes against persistent malicious actors using rich signals from production traffic.
  • Evaluate and secure agentic AI systems by developing threat models, creating testing environments, and deploying robust mitigations against frontier-level agentic hacking and long-horizon attacks.
  • Advance research in automated red-teaming and adversarial robustness, leveraging multi-turn/agentic attacks to systematically test for and uncover misuse vulnerabilities.

Qualifications

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

Skills

Required:PythonSoftware engineeringResearch-to-deployment pipeline
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Google

Google Search homepage

llmtext-to-speechvoice-ai-stack
Company profileWebsite

More open roles at Google