Founding Machine Learning Research Engineer

Generative; Greater London; Presencial; GBP 120.000 - 180.000; Jornada completa

Descripción de la vacante

Generative in London is seeking a senior founding engineer to own the ML systems backbone of its Scientific ML platform. You will work directly with researchers and engineers, turning cutting-edge ideas into robust, scalable training and evaluation systems.

The role demands deep experience in ML systems, CUDA-based optimization, and large-scale training, with a strong engineering depth and proximity to ML research. London-based, full-time, founding team environment.

Formación

• Experience in building end-to-end ML systems and pipelines.
• Strong hands-on coding with deep ML research exposure.
• Proven ability to own architectural decisions and scale training workloads.

Responsabilidades

• Develop robust training and evaluation systems for frontier ML models.
• Own ML stack infrastructure and data pipelines.
• Collaborate with researchers to turn ideas into production-ready systems.
• Shape engineering culture and architecture from the ground up.

Conocimientos

ML systems

Deep Learning

CUDA

Distributed training

Scientific computing

Research engineering

Educación

PhD or MSc in CS/ML

Herramientas

CUDA

Triton

torch.compile

Custom kernels

Distributed training frameworks

Descripción del empleo

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.

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:

• GPU performance, memory & throughput optimisation
• Data pipelines & research workflows

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.

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.

London | Full-time | Founding ML Research Engineer

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.