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

Google DeepMind; 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

• 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.).

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.

About the job

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.