Machine Learning Engineer

at  Polaron

ABOUT POLARON

Polaron is a spin-out from Imperial College London, founded by Isaac Squires, Dr. Steve Kench, and Dr. Sam Cooper. The founders were united by their desire to harness engineering, artificial intelligence, and materials science to build the materials of the future.
Our mission is to become the world leaders at the interface between AI and materials. Through relentless dedication to innovation and pragmatism, we aim to support the next generation of advanced materials critical to building a more sustainable future.

You’ll be joining a team of four (CEO, CTO, Chief Scientist and Head of Engineering) as the first ML engineer. This role grants you a significant degree of autonomy, and influence over the development and direction of the platform and product.

We’re building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work. Some of the things on our roadmap you’ll work on include:

• Optimising efficiency and robustness of Polaron’s existing algorithms for material characterisation, exploration and optimisation;
• Adapting cutting edge machine learning methods for material science applications.