Research Scientist, Multi-Agent Systems and Game Theory (Post-AGI Futures)
Google DeepMind · London, UK
Frontier labonsite
At a glance
Highlights
- Map post-AGI societal dynamics using computational and theoretical methods.
- Design multi-agent environments to model societies and agent collectives.
- Study AGI's societal impact with social scientists and philosophers.
Ideal candidate
Interdisciplinary thinker fascinated by AGI and its broader societal impacts who enjoys bridging technical modeling with philosophy and social science to explore collective futures.
Requirements
- PhD in Computer Science, Machine Learning, Cognitive Science, Neuroscience, Economics, Sociology, Anthropology, Philosophy or related technical field
- 2 years of experience publishing research in core machine learning venues (e.g., NeurIPS, ICML, ICLR, JMLR, TMLR)
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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