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

Google

Greater London

Vor Ort

GBP 110.000 - 160.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

DeepMind is seeking a Research Scientist in London to advance multi-agent systems and game theory within the Post-AGI Futures program. You will work with interdisciplinary teams across social sciences, philosophy, and ML to map societal dynamics and model large-scale agent collectives.

The role emphasizes publishing impactful research in core ML venues and contributing to discussions on AGI safety, governance, and societal implications.

Qualifikationen

  • PhD in Computer Science or related technical field.
  • 2 years of experience publishing research in core machine learning venues (e.g., NeurIPS, ICML, ICLR, JMLR, TMLR, etc.).

Aufgaben

  • 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 across multi-agent AI research, LLMs, game theory, AI safety/ethics/governance, and related social science or philosophy topics.

Kenntnisse

Publications in ML venues
Interdisciplinary collaboration

Ausbildung

PhD in Computer Science

Jobbeschreibung

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

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

corporate_fare DeepMind place London, UK

  • 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.

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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