Foresight Data Machines

Certain essential industrial processes use large amounts of power. We create predictive control software that massively increases the efficiency these processes. Our solution uses cutting edge machine learning combined with physics principles. Our customers include one of the world's largest industrial companies. We are turning our proof of concept into a scalable product. We are mainly looking for somebody with a strong background in machine learning research/engineering. The role will involve creating and implementing cutting edge machine learning technology for control of real physics and engineering processes. Relevant topics: Continuous depth neural networks (neural ODEs and related methods); model predictive control; physics informed machine learning; bayesian machine learning. Applicants should be excited by the prospect of hands-on building in a minimal team. Software development skills are a big plus. We are open to a range of experience/qualifications, however, all applicants should have evidence of exceptional achievement in a relevant discipline.