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Research Engineer, Agentic Security for Gemini, DeepMind

Google
San Francisco, USA
Junior · 1+ years experience
Onsite
USD 174000-252000 / year
Discovered 2 weeks ago
jaxpythonpytorch

Full Job Posting

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.

Minimum 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 readabl and reusable ML software.

Preferred qualifications:

  • Experience with JAX, PyTorch, or similar machine learning platforms.
  • Experience in Python through strong artifacts in building readable, scalable, reusable ML software.

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