As a Machine Learning Research Scientist, you will drive the core discovery engine of an autonomous laboratory. You’ll develop novel ML architectures, including GNNs and foundation models, to bridge the gap between simulation and real-world physical experiments. This role offers the unique opportunity to see your research directly accelerate scientific discovery and materials innovation.
Machine Learning Research Scientist at well-funded AI materials discovery startup
Join a well-funded AI startup that is redefining materials science by building an autonomous discovery engine. You’ll work alongside world-class researchers from elite industry labs and prestigious universities to develop novel ML architectures that design and execute their own physical experiments. This is a rare opportunity to bridge the gap between digital intelligence and physical discovery, creating the next generation of materials for clean energy and robotics.
Want to apply for this role?
C
Jack finds you jobs at companies like Confidential company. Talk to Jack to get considered for roles that fit what you're great at.
Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded AI materials discovery startup
What you will do
- Formulate and prototype novel ML architectures like foundation models and GNNs tailored for complex material representations and physics simulations.
- Design active learning and optimization algorithms to autonomously decide which physical experiments the lab should run to maximize discovery.
- Tackle challenges in representation learning using sparse, high-dimensional data generated from real-world physical experiments to sharpen model predictions.
Who this is a fit for
- Holds a PhD in Computer Science, Machine Learning, Physics, or a related field with a strong record of publishing novel research.
- Possesses hands-on expertise in PyTorch or JAX developing modern architectures such as generative models, Bayesian optimization, or foundation models.
- Demonstrates experience applying machine learning to scientific domains or simulations with a deep curiosity for accelerating discovery through autonomous systems.
Why this role is remarkable
- You will work at the intersection of frontier AI and physical labs, creating a closed-loop system for autonomous scientific discovery.
- The company is backed by top-tier VCs and led by world-renowned experts from elite industry labs and prestigious universities.
- Your work will have direct real-world impact by solving fundamental bottlenecks in materials science for EVs, robotics, and clean energy.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.