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, and looking to make first hires to help us. Roles: roles are fluid but we loosely define two areas. scientific machine learning research: Create and implement cutting edge machine learning technology for control of real physics and engineering processes. Relevant topics: Continuous depth neural networks (neural ODEs and related methods); reinforcement learning; model predictive control; physics informed machine learning; bayesian machine learning. software engineering (full-stack): Engineer software solutions that implement cutting edge machine learning models and control algorithms in a demanding industrial environment. Full spectrum of tasks, including: design, development, deployment and maintenance of front and backend software solution. Applicants should be excited by the prospect of hands-on building in a minimal team, with the opportunity to build their team and assume a leadership roles when we grow. Appropriate salary and stock options available. We are open to a range of experience/qualifications, however, all applicants should have evidence of exceptional achievement in a relevant discipline. See the jobs page for more info.