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For Companies At a Glance
- Tasks: Lead groundbreaking research in game theory and AI, pushing the boundaries of strategic intelligence.
- Company: Join Google DeepMind, a leader in AI innovation for public benefit.
- Benefits: Competitive salary, diverse team, and opportunities for impactful research.
- Why this job: Make a real difference in AI safety and ethics while advancing your career.
- Qualifications: PhD in relevant field and strong publication record in machine learning or game theory.
- Other info: Collaborative environment with mentorship opportunities and a focus on diversity.
The predicted salary is between 36000 - 60000 £ per year.
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
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Research Scientist, Game Theory & Multi-Agent Systems employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Game Theory & Multi-Agent Systems
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend conferences, and join relevant online communities. You never know who might have a lead on your dream job or can introduce you to someone at Google DeepMind.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research, publications, and any projects you've worked on. This will help you stand out when you’re chatting with potential employers or during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your game theory concepts and be ready to discuss your past research in detail. Practising common interview questions can also give you the confidence boost you need.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Google DeepMind.
We think you need these skills to ace Research Scientist, Game Theory & Multi-Agent Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Research Scientist. Highlight your publications, research projects, and any relevant experience in game theory or multi-agent systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention specific projects or theories you’re excited to explore.
Showcase Your Research Impact: When detailing your past work, focus on the impact of your research. Mention any influential papers you've published and how they contributed to the field. We love seeing how your work has made waves in the academic community!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Google DeepMind!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Game Theory Inside Out
Make sure you brush up on your game theory concepts and recent advancements in the field. Be prepared to discuss your previous research and how it relates to the role, especially any influential publications you've contributed to.
✨Showcase Your Prototyping Skills
Since prototyping algorithms is a key part of the job, be ready to talk about your experience with JAX and Python. Bring examples of past projects where you designed and tested models, and explain your thought process behind them.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of equilibrium computation and learning dynamics. Practise explaining complex theories in simple terms, as this will demonstrate your depth of knowledge and ability to communicate effectively.
✨Demonstrate Leadership and Collaboration
As a potential thought leader, highlight your experience mentoring others and leading research collaborations. Share specific examples of how you've guided junior researchers or worked in teams to achieve significant outcomes in your projects.