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 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.
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...