Research Engineer, Gemini Omni Data Infrastructure
Google DeepMind · London, UK
Frontier labonsite
At a glance
Highlights
- Advance AI development to solve complex global challenges for billions of users.
- Push boundaries across multiple domains within a pioneering interdisciplinary lab.
- Build systems ensuring safety, ethics and public benefit remain top priority.
Ideal candidate
A research-minded engineer who loves building reliable data infrastructure for large-scale AI and turning research into real-world impact for billions, motivated by safety and scientific discovery.
Requirements
- Bachelor's degree or equivalent practical experience
- 2 years of software development or ML research experience
- Experience conducting research to solve problems in AI or ML
- Experience implementing ML algorithms and using ML frameworks
- Experience designing and operating distributed systems for large-scale AI/ML
- Scientific publication submission(s) for conferences, journals or public repositories
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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