Jack & Jill
Machine Learning Research Scientist at well-funded AI materials discovery startup
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title
Machine Learning Research Scientist
Salary
Not Disclosed
Company Description
Well-funded AI materials discovery startup
Job Description
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.
Location
London, UK
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.
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The ideal candidate
- 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.
Who are Jack & Jill?
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
How does this work?
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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location