Machine Learning and Game Theory Researcher

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Machine Learning and Game Theory Researcher

This is an opportunity to join a team at the cutting edge of artificial intelligence and machine learning. At PROWLER.io we are combining reinforcement learning, multi-agent learning, probabilistic modelling and state of the art computational tools to develop autonomous decision making agents that learn from and rapidly adapt to their environment.

We are looking to hire exceptional researchers to our team of highly talented scientists and engineers. You will be contributing to our research work by developing new solution approaches inspired by mechanism design that combine traditional game theory and machine learning. The aim is to develop new techniques to influence the behaviour of multiple decision makers that interact in stochastic environments. Such techniques would be targeted to address problems related, for example, to logistics, ride-sharing, and smart cities.

Your responsibilities

  • Contribute to multi-agent systems research
  • Write papers to machine learning/(algorithmic) game theory conferences about research results
  • Review documents, write (and review) code and provide constructive feedback
  • Engage with client projects and deliverables
  • Continuously develop your own machine learning and engineering skills and help others to improve theirs

Essential requirements

  • Academic research experience in Machine Learning
  • PhD in relevant area
  • Ability to understand cutting-edge research papers
  • Ability to lead the writing of papers in top Game Theoretic/Machine learning conferences
  • Willingness to work as part of a team and learn new skills
  • Passion to solve challenging problems

Desirable experience or interest:

  • Expert knowledge in (Algorithmic) Game Theory
  • Knowledge of Reinforcement Learning
  • Knowledge of Mechanism Design/Microeconomy
  • Numerical programming (Python/ NumPy, Matlab, R)

What we offer

Competitive salary plus employee stock options, opportunities for professional development, private medical and dental insurance, a vibrant start-up environment, and the ability to make a difference to an early-stage company. Our working environment includes catching up with other team members over a delicious breakfast or free Friday lunch, taking a break with a quick chess match or joining a multi-player game on one of our many consoles. Not energetic enough? Use your free membership at the local gym, or take a walk for inspiration at the nearby Cambridge Botanic Gardens.

About the location

Cambridge, United Kingdom.

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