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Research Engineer, Agentic Security for Gemini, DeepMind

Google
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RemotePosted 2w ago

About the role

Research-focused Software Engineer role at Google DeepMind, embedded within the company to design and evaluate agentic security and privacy capabilities for Gemini, with opportunities to publish and contribute to reusable libraries and frameworks.

Responsibilities

  • Build post-training data and tools to improve Gemini's security & privacy capabilities across coding, personal assistant, and other agentic capabilities; integrating improvements into latest versions of Gemini.
  • Coordinate closely with stakeholders working on Gemini's tool use, coding and other agentic capabilities to ensure security & privacy gains in the model do not impact Gemini's utility.
  • Collaborate with other team members to improve our adversarial evaluation (auto-red teaming) techniques and out-of-model guardrails.
  • Amplify the impact by generalizing solutions into reusable libraries and frameworks for protecting agents and models across Google, and by sharing knowledge through publications, open source, and education.

Qualifications

  • Master's degree in Computer Science or related quantitative field.
  • 1 year of experience in training or fine-tuning generative models to improve capabilities.
  • Experience in one of the machine learning safety, security, privacy, or alignment fields.
  • Experience in one machine learning framework such as JAX or PyTorch.
  • Experience building readable and reusable ML software.

Skills

Required:Mastery of ML frameworks (JAX or PyTorch)ML software engineeringSecurity and privacy in ML

Benefits

  • Learn more about benefits at Google (link provided in job description).
Last updated Oct 23, 2026. Interested? Apply on the company site.

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