Research Engineer, Multi-Agent Learning
Google DeepMind · London, UK
Frontier labonsite
At a glance
Highlights
- Create novel multi-agent learning algorithms to solve complex real-world problems.
- Build simulation platforms and research pipelines to accelerate pace of discovery.
- Advance AI innovation for billions of users while prioritizing safety and ethics.
Ideal candidate
A collaborative researcher at heart who loves turning ambitious ideas into real systems and guiding others, driven to advance AI for public benefit.
Requirements
- Experience in multidisciplinary research, guiding and mentoring
- Machine Learning experience
- PhD in Computer Science with strong publication history (preferred)
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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