Research Scientist, Game Theory & Multi-Agent Systems at DeepMind

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

0.0

Posted On

27 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Game Theory, Multi-Agent Systems, Machine Learning, Algorithm Design, Research Publication, Statistical Analysis, Python, JAX, Mentoring, Theoretical Research, Collaboration, Experimentation, Emergent Communication, Mechanism Design, Equilibrium Computation, Learning Dynamics

Industry

Research Services

Description

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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

Responsibilities

As a Research Scientist, you will lead high-impact research projects in game theory and AI, formulating new theories and designing novel algorithms. You will also mentor junior researchers and contribute to the scientific community through publications in top-tier conferences.