Senior Machine Learning Engineer

Polaron is a spin-out from Imperial College London, founded by Dr 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 our team of nine as a senior 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.

We’re looking for exceptional people who can contribute to a fantastic company culture and help us grow Polaron, so if you feel like you could excel in this role, please get in touch! 

Requirements

• A degree in Computer Science, Engineering, AI, Math, Physics, or similar – or equivalent work experience (PhD in STEM subject desirable)
• 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow
• Proficiency with version control and cloud computing e.g. AWS, Azure
• Enthusiasm for complex problem solving
• Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of the team

Technologies We Use

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

Benefits

• Competitive salary package
• 25 holidays a year + 2 “festive leave” days
• Competitive equity in a fast growing company
• Gym membership
• Flexible working policies
• East London office @ Shoreditch Exchange Hoxton https://www.withoneder.com/shoreditch-exchange/
• Free barista coffee!