Research Scientist, Game Theory & Multi-Agent Systems
Research Scientist, Game Theory & Multi-Agent Systems
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Job Description
Snapshot
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
About Us
The Game Theory Research Team seeks to achieve foundational breakthroughs in our understanding of strategic intelligence cooperation and emergent behaviour in AI systems. We publish our work in premier academic venues to advance the field and to steer the future of AI towards safe and socially beneficial outcomes. We are looking for a pioneering Research Scientist to set and execute an ambitious research agenda at the frontier of multi-agent learning.
The Role
As a Research Scientist you will be working on high-impact research projects that push the boundaries of game theory and AI. You will be responsible for formulating new theories designing novel algorithms and driving the intellectual agenda of the team. Your responsibilities will include:
- Conceiving and leading a long-term research program in areas such as equilibrium computation learning dynamics mechanism design for AI or emergent communication.
- Publishing influential papers in top-tier conferences (e.g. NeurIPS ICML AAAI AAMAS EC) and contributing to the wider scientific community.
- Designing and conducting rigorous experiments to validate theoretical claims collaborating closely with Research Engineers to test hypotheses at an unprecedented scale.
- Prototyping novel algorithms and models primarily using JAX to rapidly test and iterate on new ideas.
- Mentoring junior researchers and interns and acting as a thought leader on the strategic and safety implications of multi-agent AI both within Google and externally.
About You
Minimum Qualifications:
- PhD in Computer Science Economics Statistics or a related field.
- A strong record of influential publications in top-tier machine learning or game theory venues.
- Experience prototyping and evaluating ML models in Python.
Preferred Qualifications:
- Internationally recognized research in algorithmic game theory learning in games mean-field games evolutionary game theory or multi-agent reinforcement learning (MARL).
- Deep mathematical fluency and a track record of proving rigorous theoretical results.
- Hands-on experience prototyping complex research ideas in JAX.
- Experience setting a research agenda and leading long-term multi-person research collaborations.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Application Deadline: 10th October
Required Experience:
Unclear Seniority
Employment Type
Full Time
