Senior Machine Learning Engineer

Polaron Ltd.; London; On-site; GBP 85,000 - 130,000; Full time

Job summary

Join a leading company at the forefront of AI and materials science as a Senior ML Engineer. You will play a critical role in developing a SaaS platform that enhances material engineering, utilizing cutting-edge AI techniques. With a competitive salary and a collaborative culture, this position offers autonomy and significant influence on product development.

Benefits

25 holidays a year + 2 festive leave days

Competitive equity in a fast growing company

Gym membership

Flexible working policies

Free barista coffee

Qualifications

• 2+ years experience writing production-level code for computer vision applications with Python ML libraries.
• Proficiency with version control and cloud computing.
• Enthusiasm for complex problem solving.

Responsibilities

• Optimizing efficiency and robustness of Polaron’s existing algorithms.
• Adapting machine learning methods for material science applications.

Skills

Problem Solving

Technical Communication

Machine Learning

Education

Degree in Computer Science, Engineering, AI, Math, or Physics

PhD in STEM subject

Tools

Python

PyTorch

AWS

Azure

Docker

Kubernetes

Terraform

PostgreSQL

TypeScript

React/Next.js

Github

Job description

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!

• 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.

Salary £85,000-130,000 depending on experience.

Even if you don't have 100% of the requirements above, please apply as we're always looking for incredible people with diverse talents to join our team.

Interview structure:

1. Initial Video Call (20 mins):Discuss your experience and interest in the role with a member of the team.
2. Technical Pairing Exercise (1.5 hrs):Collaborative coding session via video call followed by some technical reasoning problems. This is a chance to see how we work on an engineering problem together.
3. Paid Trial Day:If selected as one of our top candidates, this is a chance to spend the day in our office collaborating with the team on a real engineering task.

We're a largely office based company, with typically 4 days a week in office and 1 day WFH.

However, we operate flexible working policies, so depending on a candidates individual needs we can discuss an arrangement that works for you.

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