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Research Engineer, Frontier Safety Mitigations, DeepMind

Google
San Francisco, USA
Mid · 5+ years experience
Onsite
USD 174000-252000 / year
Discovered 2 weeks ago

Full Job Posting

Responsibilities

  • Build advanced classifiers and data pipelines to detect misuse, owning 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 or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience in Large Language Model (LLM) development, fine-tuning, or safety evaluation methodologies.
  • Experience taking research from concept to product.
  • Experience in areas such as Safety and Alignment.

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