Research Scientist, Multi-Agent Systems and Game Theory (Post-AGI Futures), DeepMind

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

Artificial Intelligence (AI)

2–5 years

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Drive research on mapping post-AGI societal dynamics using interdisciplinary computational and theoretical methods.
• Collaborate with social scientists, philosophers, and machine learning 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 literature and advancements across multi-agent AI research, LLMs, game theory, AI safety/ethics/governance, and other relevant social science or philosophy topics.

Minimum Qualifications

• PhD in Computer Science, Machine Learning, Cognitive Science, Neuroscience, Economics, Sociology, Anthropology, Philosophy or a related technical field.
• 2 years of experience publishing research in core machine learning venues (e.g., NeurIPS, ICML, ICLR, JMLR, TMLR, etc.).

Preferred Qualifications

• Experience constructing and evaluating multi-agent systems, environments, or behavioral research sandboxes.
• Experience with interdisciplinary research on topics that fall outside of those covered by the core machine learning venues (e.g., cognitive science, tech policy and governance, social sciences, etc.).
• Experience writing perspective/review style articles on technical topics.
• Deep understanding and interest in artificial general intelligence and its potential for broader societal impacts.
• Familiarity with institutional analysis frameworks and collective action models.