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Senior Research Scientist – Reinforcement Learning

DOE + equity

We are currently engaged with a super exciting, well-funded organization that is paving the way with Machine Learning and Human-in-the-loop training and they are on a mission to make AI and human interaction ubiquitous. They are in pursuit of how they can make acquiring skills and expertise easier through the aid of AI.

We’re assisting them in the search for a Senior Research Scientist with expertise in Reinforcement Learning, to strengthen their already super-talented team of Engineers and Researchers.

So what makes you suitable?

This is a self-directed, research-heavy position as they are looking for an in-house expert. This would be someone who lives and breathes Reinforcement Learning has their finger on the pulse and knows where Reinforcement Learning is heading.

You will be able to understand the current state and, most importantly, help steer the RL direction of the business, this would be perfect for those who dream big and want to put cutting-edge ideas into practice.


  • Ph.D. in Computer Science/Engineering, Reinforcement Learning, Machine Learning, or a related field.
  • 7+ years of research and development experience within Deep Learning or statistical modeling.
  • Experience with Reinforcement Learning
  • Experience with Deep Learning Models (e.g. RNN/LSTM, CNN, VAE, GAN, etc.)
  • Published research papers in relevant conferences such as NeurIPS, ICML, ICCV, and ICRA….
  • Exceptional knowledge and development experience with Deep Learning frameworks such as Tensorflow & PyTorch.
  • Excellent software programming skills in Python and C++.
  • A vested interest in intensive research that has real-world impacts.
  • With strong communication skills, you need to be organized and self-motivated.

John Stephenson

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