Research Engineer in Reinforcement Learning

Research · London, London, City of
Department Research
Employment Type Full-Time
Minimum Experience Experienced

Research Engineer in Reinforcement Learning

Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.

Are you a Research Engineer in Reinforcement Learning? the Research team, focus of a Research Engineer is to contribute to the research effort through the development and implementation of novel ideas, whilst building effective, modular and sustainable software solutions. As a Research Engineer, you will have the opportunity to shape both our engineering and research culture.

If so then keep reading…. 

As a Research Engineer in Reinforcement Learning, you’ll be a part of the research department, The core tasks of a Research Engineer include: developing prototype applications, providing programming support to research projects, implementing software libraries and contributing to InstaDeep’s publication efforts.

The Research Engineer in Reinforcement Learning must accomplish the following:  

  • Implement and develop novel algorithms and research ideas in fields such as machine learning, deep learning and reinforcement learning.
  • Contribute to our publication efforts.
  • Bridge the gap between the research and products by integrating new fundamental research into applied projects.
  • Encourage and support good engineering practices as research is translated into reusable and maintainable code.
  • Design and implement algorithms to leverage modern hardware and distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.).
  • Report and present experimental results and research findings clearly and efficiently, both internally and externally, verbally and in writing. 
  • From time to time, collaborate with the business development team in their pre-sales activities, including presenting the company to prospective clients and representing InstaDeep at conferences/events. 


  • Postgraduate degree in Computer Science, Machine Learning or a related scientific field.
  • Experience in developing and debugging in Python or similar languages.
  • Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Jax.
  • Research and software engineer experience demonstrated via previous experience, and contributions to open source or coding competitions.

Our Diversity, Equity, and Inclusion commitments

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this by other than by joining our team? 

At present we operate in a hybrid way allowing work from home or work from the office as per each individual’s preferences. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work: Please note you will require the legal right to work in the location you are applying for. 

Any further questions please do not hesitate to contact us at:

Thank You

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  • Location
    London, London, City of
  • Department
  • Employment Type
  • Minimum Experience