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Senior Applied Researcher – Reinforcement Learning


Excellent + Equity

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

We’re assisting them on the search for an Applied Researcher who has expertise within Reinforcement Learning, to strengthen their already super-talented team of Engineers and ML Researchers.

So what makes you suitable?
This is very much a self-directed, research-heavy position. My client is looking for an in-house expert – 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 current-state and, most importantly, help steer the RL direction of the business.

You will have a strong Applied Research background and it would be a big plus if you have also published at top-tier conferences (although not essential). You will be in the driving seat when it comes to RL in both researching new avenues and implementing them.

You will also have a broad understanding of machine learning, along with experience with leading ML tools and libraries, including TensorFlow, Keras and PyTorch.

Does this sound like the type of challenge you’ve been looking for? If so, I’d love to hear from you. We have a lot more information to share about this awesome company, so please respond to this advert or fire over a resume to [email protected] for a confidential chat.

Contact:
John Stephenson

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