Research Scientist - Multi-Agent Systems & AGI Society

Game Companies; Greater London; On-site; GBP 120,000 - 150,000; Full time

Job summary

Google DeepMind is seeking a highly skilled researcher to advance AI and AGI-related societal impact studies. The role involves cross-disciplinary collaboration with social scientists, philosophers, and machine learning researchers to map post-AGI dynamics and evaluate multi-agent systems.

Candidates will design rigorous simulations, stay current with AI safety and governance literature, and contribute to shaping responsible, high-impact AI research for broad societal benefit.

Qualifications

• PhD in a related technical field.
• 2 years of publishing research in core ML venues.

Responsibilities

• Drive research on mapping post-AGI societal dynamics using interdisciplinary methods.
• Collaborate with social scientists, philosophers, and ML researchers to study the impact of AGI on society.
• Design, formalize, simulate, and evaluate multi-agent environments to model societies and large-scale agent collectives.
• Stay current with the latest research across multi-agent AI, LLMs, game theory, AI safety/ethics/governance and related social sciences.

Skills

Publish research

Interdisciplinary research

Multi-agent systems

Game theory

AI safety

Education

PhD in a related technical field

Job description

Google DeepMind is seeking a highly skilled researcher to advance AI and AGI-related societal impact studies. The role involves cross-disciplinary collaboration with social scientists, philosophers, and machine learning researchers to map post-AGI dynamics and evaluate multi-agent systems.

Candidates will design rigorous simulations, stay current with AI safety and governance literature, and contribute to shaping responsible, high-impact AI research for broad societal benefit.