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Frontier Safety Mitigations Research Engineer, DeepMind

Google
London, GBR
Mid · 5+ years experience
Onsite
Discovered 3 weeks ago
jaxpython

Full Job Posting

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.

Minimum 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.

Preferred qualifications:

  • Experience with cybersecurity detection and response, building classifiers and anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems.
  • Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning.
  • Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX.
  • Background in adversarial machine learning, automated red-teaming, or model interpretability and probes.
  • Knowledge of AI control, chain-of-thought monitoring, faithfulness, monitorability, and related frontier safety research.

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