Staff Research Scientist, Gemini Research
Google DeepMind · Mountain View, CA, USA
Frontier labonsiteStaff$207k–$300k
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)
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