> Markdown version of [/jobs/ext/2992997-research-scientist-large-geometry-models](https://www.wearedevelopers.com/jobs/ext/2992997-research-scientist-large-geometry-models). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Scientist - Large Geometry Models - **Company:** PhysicsX Ltd - **Location:** London, UK - **Salary:** £42,054.0 - **Contract:** Permanent contract - **Skills:** Nvidia CUDA, Pytorch, Deep Learning - **Published:** September 19, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5890390198 ## About the Role * Relevant experience in industry or a research group of comparable intensity, instrumental in: building models and pipelines in PyTorch/CUDA; bespoke problem settings involving geometric or 3D data; iterating on architecture and inductive bias; combining theoretical reasoning with empirical intuition; running experiment pipelines that produce comparable results. * Ability to scope and deliver projects, with strong problem-solving skills. * Enthusiasm for deep learning and probabilistic methods applied to science and engineering. * Publications at premier conferences: SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR, and relevant journals: TOG, TPAMI, JMLR. * Desirable: operator learning or probabilistic methods for PDEs; self-supervised pretraining for 3D vision and/or physics surrogacy; generative inverse design linking geometry to physics objectives.. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Localized Open Models in Production: What Builders Need to Know](https://www.wearedevelopers.com/videos/100270-localized-open-models-in-production-what-builders-need-to-know) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms)