Research Engineer, Agentic Security for Gemini AI

DeepMind Technologies Limited

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

29 hours ago
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Job summary

Google DeepMind seeks a research-focused Software Engineer to help build Gemini's security and privacy capabilities, from post-training data tools to integration in the latest Gemini releases. You will coordinate with stakeholders on Gemini's tool use and agentic features, ensure safety gains do not hurt utility, and contribute to reusable libraries, publications, and open source.

This role offers collaboration with diverse teams, impactful research work, and the opportunity to shape responsible

Qualifications

  • Master's degree in Computer Science or related quantitative field.
  • 1 year of experience in training or fine-tuning generative models.
  • Experience in ML safety, security, privacy, or alignment.
  • Experience with JAX or PyTorch.
  • Experience building readable and reusable ML software.

Responsibilities

  • Build post-training data and tools to improve Gemini's security and privacy capabilities; integrating improvements into latest versions of Gemini.
  • Coordinate closely with stakeholders on Gemini's tool use and other capabilities to ensure safety gains do not impact utility.
  • Collaborate to advance adversarial evaluation techniques and out-of-model guardrails.
  • Generalize solutions into reusable libraries and publish knowledge through open source and education.

Skills

Gen models training
ML safety concepts
Readable ML software

Education

Master's degree in Computer Science

Tools

JAX
PyTorch

Job description

Google DeepMind seeks a research-focused Software Engineer to help build Gemini's security and privacy capabilities, from post-training data tools to integration in the latest Gemini releases. You will coordinate with stakeholders on Gemini's tool use and agentic features, ensure safety gains do not hurt utility, and contribute to reusable libraries, publications, and open source.

This role offers collaboration with diverse teams, impactful research work, and the opportunity to shape responsible

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