Staff Research Scientist, Gemini Research
Google DeepMind · Mountain View, CA, USA
Frontier labonsitestaff$207k–$300k
At a glance
Highlights
- Invent new ML architectures and training methods for next-generation Gemini models.
- Build systems where Gemini proposes, codes and evaluates changes to its own training.
- Act as final verifier deciding which AI-generated ideas advance to production.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
A deep ML researcher who loves inventing algorithms and proving what truly works. Rigorous, first-principles thinker excited to enable AI to design its successor and land advances in frontier 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
- Experience with deep learning frameworks for distributed systems and accelerator clusters
- One or more scientific publication submissions for conferences, journals, or public repositories
- 2 years of experience coding and leading multiple research efforts and influencing research direction
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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