Research Engineer, Game Theory & Multi-Agent Systems

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 works on fundamental challenges at the intersection of AI, economics, and computer science. Our goal is to understand the principles of strategic interaction to build the next generation of safe, beneficial, and scalable multi-agent AI. As a Research Engineer, you will build the state-of-the-art systems that power our ambitious, long-term research agenda.

The Role

As a Research Engineer, you will be designing and implementing novel theories and algorithms in high-performance, scalable code bases.

Key responsibilities:

• Creating novel learning algorithms and complex game-theoretic models, with a primary focus on performance and scalability in JAX.
• Building and maintaining large-scale simulation platforms and end-to-end research pipelines to run experiments on Google DeepMind’s cutting-edge infrastructure, including massive TPU pods.
• Partnering deeply with Research Scientists to transform mathematical concepts and research hypotheses into robust, production-quality code and reproducible experiments.
• Leading the engineering direction for complex research projects, establishing best practices for code quality and maintainability, and mentoring junior engineers on the team.
• Optimizing every part of the research workflow, from data processing and model training to results analysis, to drastically accelerate the pace of discovery.

About You

In order to set you up for success as a Research Engineer at Google DeepMind,  we look for the following skills and experience:

• Master’s degree or PhD in Computer Science or a related technical field.
• 5+ years of software development experience using Python or C++.
• Experience with deep learning frameworks, such as JAX (preferred) or PyTorch. 
• Experience with standard analysis and scientific computing libraries: numpy, pandas, and matplotlib. Familiarity with scipy, sklearn, and altair is considered a plus.

In addition, the following would be an advantage: 

• PhD with a research focus on Machine Learning, Reinforcement Learning, or Multi-Agent Systems.
• Deep expertise building and optimizing complex systems in JAX.
• Experience training large-scale models on accelerators (TPUs, GPUs) in a distributed environment.
• A strong background in algorithmic game theory, multi-agent reinforcement learning, or computational economics.
• A track record of leading complex software projects and a passion for enabling groundbreaking research through world-class engineering.
• Experience working with language models such as designing agentic harnesses, memory retrieval, or fine-tuning.

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.

Closing date: 10th October