Research Scientist: Multi-Agent Systems & Game Theory

DeepMind Technologies Limited; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

DeepMind Technologies Limited is seeking researchers to drive interdisciplinary investigations into how AGI could shape societal dynamics. The role entails collaborating with social scientists, philosophers, and ML researchers to study AGI's societal impacts and to design, formalize, and simulate multi-agent environments that model large-scale agent collectives.

The ideal candidate holds a PhD in a relevant field and has demonstrated publication experience in core machine learning venues, with

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.).

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.

Skills

Publish research in core ML venues

Interdisciplinary collaboration

Multi-agent research

Education

PhD in Computer Science, Machine Learning, Cognitive Science, Neuroscience, Economics, Sociology, Anthropology, Philosophy or a related technical field

Job description

DeepMind Technologies Limited is seeking researchers to drive interdisciplinary investigations into how AGI could shape societal dynamics. The role entails collaborating with social scientists, philosophers, and ML researchers to study AGI's societal impacts and to design, formalize, and simulate multi-agent environments that model large-scale agent collectives.

The ideal candidate holds a PhD in a relevant field and has demonstrated publication experience in core machine learning venues, with