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Staff Research Scientist, Gemini Research

Google DeepMind · Mountain View, CA, USA

Frontier labonsiteStaff$207k–$300k
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At a glance

Highlights

  • Invent new ML architectures, optimizers, and training methods for Gemini.
  • Build systems letting Gemini propose and test its own training changes.
  • Serve as final verifier deciding which AI ideas advance Gemini models.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

An original ML researcher who thrives on inventing algorithms and rigorously separating real advances from hype. You're driven to build AI systems that can improve themselves and shape future Gemini models.

Requirements

  • PhD in Computer Science, a related field, or equivalent practical experience
  • 4 years of experience with research agendas across multiple teams or projects
  • One or more scientific publication submission(s) for conferences, journals, or public repositories
  • Experience working with deep learning frameworks for distributed systems and accelerator clusters

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗

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