At a Glance
- Tasks: Drive research on post-AGI societal dynamics and collaborate with diverse experts.
- Company: Join Google DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Work in a dynamic environment with opportunities for interdisciplinary learning and career growth.
- Other info: Collaborate with top minds in AI, philosophy, and social sciences.
- Why this job: Make a real impact on society through cutting-edge AI research and innovation.
- Qualifications: PhD in relevant fields and experience in machine learning research required.
The predicted salary is between 63000 - 77000 £ per year.
Minimum qualifications
- Ph D 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., Neur IPS, 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 Deep Mind, 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.
Research Scientist, Multi-Agent Systems and Game Theory (Post-AGI Futures), DeepMind in London employer: Google
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StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Multi-Agent Systems and Game Theory (Post-AGI Futures), DeepMind in London
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We think you need these skills to ace Research Scientist, Multi-Agent Systems and Game Theory (Post-AGI Futures), DeepMind in London
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