> Markdown version of [/jobs/ext/2729996-research-engineer-world-models-deepmind](https://www.wearedevelopers.com/jobs/ext/2729996-research-engineer-world-models-deepmind). 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 Engineer, World Models, DeepMind

- **Company:** Google
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Open Source Technology, Pytorch, Generative AI, Information Technology, Machine Learning Operations
- **Published:** September 5, 2026
- **Apply:** https://dejobs.org/x/x/2E93246FAF994E3BA1E9FC88D718A9D1/job/

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 5 years of experience developing, training, and deploying diffusion models and generative video architectures.
 * Experience writing custom GPU/TPU kernels (e.g., JAX or PyTorch) for model serving., * PhD in Computer Science, Machine Learning, AI, or a related quantitative field or equivalent practical experience.
 * Experience in frontier AI research labs within pre-training or post-training teams.
 * Proficiency in writing TPU/GPU custom kernels to optimize model performance and inference.
 * Proven track record of deploying machine learning models to production at scale or publishing widely adopted open-source research.

## Description

* Architect and implement next-generation model architectures in collaboration with research teams to advance frontier world models.
 * Design and iterate on real-world evaluation pipelines to systematically measure and accelerate model capabilities.
 * Engineer high-performance model distillation and optimization techniques to support real-time serving at global scale.
 * Build scalable data ingestion pipelines and automated filtering mechanisms, using rigorous dataset analysis to maximize training quality and drive downstream benchmark gains.


## Related Videos

- [Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen](https://www.wearedevelopers.com/videos/1332-google-gemini-open-source-and-deep-thinking-models-sam-witteveen)
- [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)
- [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)
- [DeepSeek R1 vs ChatGPT o1: How Do They Compare?](https://www.wearedevelopers.com/magazine/542-deepseek-r1-vs-chatgpt-o1-how-do-they-compare)