Polaron

Polaron is an Imperial College London spinout using generative AI to bridge the gap between process (how materials are made) and performance (how materials behave). We’re building a platform that enables materials designers to use these state-of-the-art AI techniques in their day-to-day work. We’re a small, well-funded team, and have just won the UK Government’s inaugural Manchester Prize for AI innovation and public good. As a Software Engineer at Polaron, projects on our roadmap you could work on include: Scaling our canvas-based frontend to handle images with greater than 10k x 10k pixel resolution. Intelligently autoscaling our GPU cluster in response to customer demand. Building a public-facing API, in addition to our web-based interface. As a Machine Learning Engineer at Polaron, projects on our roadmap you could work on include: Optimising efficiency and robustness of our existing algorithms for material characterisation, exploration and optimisation; Adapting cutting edge machine learning methods for material science applications.