Senior Reinforcement Learning Scientist

current vacancies

Senior Reinforcement Learning Scientist

We are looking to hire exceptional reinforcement learning scientists that join our constrained MDP and financial applications team. You will be contributing to our research work and to developing reinforcement learning algorithms that are both theoretically rigorous, yet scalable to real-world scenarios (e.g., to portfolio management, asset allocation, and trading).

Your responsibilities

  • Contribute to research work and publications the team is working on
  • Conduct theoretical analysis of proposed algorithmic solutions
  • Develop and run large-scale experiments to identify effective solutions
  • Work closely with other researchers and engineers in an Agile team

Skills and experience

  • PhD in Mathematics, Computer Science, Financial Engineering, or an equivalent degree in a related field
  • Knowledge of constrained MDPs and their solutions
  • Knowledge of risk-averse reinforcement learning
  • Knowledge of information-theoretic principles applied to reinforcement learning
  • Demonstrable interest in financial markets and trading (real-world experience preferred)
  • Strong mathematical background in the fields of optimisation, probability theory, and statistical learning
  • Publication thread in A-level machine learning and computer science conferences and journals, including but not limited to ICML, NIPS, AISTATS, UAI, AAAI, JMLR, JAIR, MLJ
  • Knowledge of numerical programming in a high-level language (Python preferred)

What we offer

Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, opportunities for professional development, a team of exceptionally talented colleagues, a position to shape the future of AI.


Cambridge, United Kingdom.

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