Generative
Founding Machine Learning Research Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Generative's Frontier AI Research Partnership
Generative is thrilled to be partnering with a very early-stage frontier AI research company building foundation models for some of the most challenging problems in extreme physics.
Their work sits at the intersection of machine learning, scientific computing, and real-world engineering, with applications across semiconductors, aerospace, defence, fusion, and advanced energy.
Traditional simulation approaches can be too slow, expensive, or brittle for the complexity of these environments. The team is building ML systems that learn from high-fidelity simulation and experimental data to deliver fast, reliable predictions across complex physical regimes — enabling engineers and scientists to explore far more possibilities than traditional workflows allow.
They’re now looking for a Founding Engineer – ML Systems to own the engineering backbone of their Scientific ML platform.
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.
About the Role
This is a genuinely hands-on founding role. You’ll work directly alongside researchers and engineers, turning research ideas and prototypes into robust, scalable training and evaluation systems, while shaping the underlying ML infrastructure from the ground up.
You’ll work across:
- PyTorch & ML systems engineering
- Multi-GPU / distributed training
- GPU performance, memory & throughput optimisation
- Training, evaluation & experiment infrastructure
- Data pipelines & research workflows
- Profiling, benchmarking & system optimisation
- Reproducible ML infrastructure & developer tooling
- Research-to-production engineering
They’re looking for someone with strong experience across ML systems and deep learning, who has genuinely built, trained, and optimised models at scale.
You could come from a Research Engineering, ML Systems, Deep Learning, Scientific ML, GPU Computing, or large-scale AI background.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Experience with CUDA, Triton, torch.compile, custom kernels, distributed training, or scientific computing would be particularly interesting, but the key requirement is strong engineering depth combined with genuine proximity to ML research.
This is an opportunity to join a small, exceptionally technical founding team, have significant ownership over the ML stack, and help define the engineering culture, architecture, and infrastructure from the beginning.
Location and Compensation
📍 London | Full-time | Founding ML Research Engineer
💰 £120,000–£160,000 + meaningful equity
If you're a senior ML engineer or research engineer who enjoys operating at the intersection of frontier AI, systems engineering, and scientific problems, I’d be very interested in speaking.
“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
Location