Software Engineer

Polaron, a spin-out from Imperial College London, is seeking a Software Engineer to join their innovative team. Founded by Isaac Squires, Dr. Steve Kench, and Dr. Sam Cooper, Polaron aims to harness engineering, artificial intelligence, and materials science to build the materials of the future.

As the first software engineer on the team, you'll work alongside the CEO, CTO, Chief Scientist, and Head of Engineering. This role offers significant autonomy and influence over the development and direction of the platform and product. You'll be instrumental in building a SaaS product that allows materials engineers to leverage cutting-edge AI in their work.

Key responsibilities include:

1. Building a robust cloud platform for scheduling the training and serving of bespoke AI models for customers.
2. Developing a rich web-based image manipulation application for pre-processing image data used to train machine learning models.

The ideal candidate should have:

• 3+ years of experience as a product-focused software engineer
• Experience with statically typed programming languages (TypeScript, Go, Java/Scala, etc.)
• A product-oriented mindset and comfort in engaging with customers
• Ability to work across the entire technology stack

Polaron uses a variety of technologies, including:

• Frontend/Backend: TypeScript with React/Next.js and Express/Prisma
• Machine Learning: Python
• Infrastructure: Docker, Kubernetes, Terraform (AWS)
• Database: PostgreSQL
• CI/CD: Github, Github Actions

This is primarily an in-person role based in the East London office, with the team working at least four days a week on-site. The salary range is £60,000-£75,000 GBP, with 0.1-0.5% equity, depending on experience.

Polaron is committed to building a diverse and inclusive team and encourages applications from all backgrounds. The interview process includes an initial video call, a technical pairing exercise, a behavioral interview, and a paid trial day.

Join Polaron in their mission to become world leaders at the interface between AI and materials, supporting the next generation of advanced materials critical to building a more sustainable future.