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 recently 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.
Polaron | Senior ML Engineer, Senior Software Engineer | London, UK | ONSITE | https://polaron.ai/careers.
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.
Polaron is an Imperial College London spinout [1] using generative AI to transform the material design process. We’re leveraging machine learning to bridge the gap between process (how materials are made) and performance (how materials behave). For example, using our image-based generative AI technology, we designed a Li-ion battery cathode with a 10% increased power density compared to the original design.
We’re building a SaaS platform that enables materials designers to use state-of-the-art AI techniques in their day-to-day work. We’ve just closed our first round of Angel/VC funding, and have just been announced as a finalist of the UK Government’s Manchester Prize [2].
We’re a small team with deep expertise in materials science and AI. We’re looking for software engineers excited about building early-stage tech products to join us in productising our world-leading research [3].
Some of the things on our roadmap you’ll work on include:
- Building a robust cloud platform for scheduling the training and serving of bespoke AI models for our customers.
- A rich web-based image manipulation application for pre-processing image data that is used to train ML models.
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 recently 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.
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.
If you’d like any more information, please reach out at: [careers@polaron.ai](mailto:careers@polaron.ai).
[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...