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 [2] 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.
Tech Stack: TypeScript (React / Next.js / Express / Prisma), Python (PyTorch), PostgreSQL, Docker, Kubernetes, AWS, Terraform.
Apply via our jobs page: https://apply.workable.com/polaron.
[1]: https://www.imperial.ac.uk/news/250657/ai-spinout-polaron-ac... [2]: https://www.gov.uk/government/news/british-start-up-wins-1-m...