Machine Learning Researcher (Gaussian Processes, Modelling)
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Machine Learning Researcher (Gaussian Processes, Modelling)
We are seeking a Machine Learning Researcher (Gaussian Processes, Modelling) for our globally acting company; we are currently looking to build a Team of Researchers with experience in Bayesian Inference or Probabilistic Programming. We are a best known for revolutionising the Gaming Industry and developing virtual worlds.
As a Machine Learning Researcher you will join a newly formed team of Learning Researchers with the aim of bringing a Research product to a niche market. Our long term goal is a general purpose probabilistic model. As a Machine Learning Researcher you will be working within Bayesian Inference, Probabilistic Programming, Probabilistic Programming Libraries, Big Data Analysis and Bayesian Nets.
We are looking for someone who is passionate and motivated to work on our mission. You don't have to have a background in Machine Learning for this position as a Machine Learning Researcher, but you should be ambitious, motivated and able to think out the box.
What we can offer a Machine Learning Researcher (Gaussian Processes, Modelling):
* A chance to be a part of some exciting work whilst being part of a company with more job security than a startup.
* A relaxed and informal working environment with very little bureaucracy.
* The chance of publishing your work at leading conferences worldwide (NIPS, ICRA, ICML etc.)
* A role really close to academia, with strong links to top universities.
Key Skills Include: Machine Learning Engineer / Machine Learning Researcher, Researcher, Research, PhD, Publications, Times-Series Forecasting, Gaussian Mixture Models, Machine Learning, ML, AI, Deep Learning, Deep Neural Nets, Natural Language Processing, NLP, Bayesian inference, Bayesian Data, Probabilistic Modelling, Complex Data, Matlab, Python, C++, R, SQL, Mathematics, Statistics, Engineering, Computer Science, Physics, Machine Learning Engineer, Software Engineer
