Research Engineer, World Models, DeepMind

Google LLC; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Google DeepMind in London is seeking a Research Engineer focused on World Models to build, test, and deploy diffusion-based generative video architectures. You will collaborate with modeling and eval teams to scale capabilities and interface with product teams to refine deployment scope.

You will lead cross-functional efforts, architect scalable code, and push forward AI-driven code generation and automated review workflows, contributing to high-impact research deployed to real-world users.

Qualifications

• 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 for model serving.

Responsibilities

• 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.

Skills

5 years experience in diffusion models

Generative video architectures

GPU/TPU kernel development

Education

Bachelor’s degree or equivalent practical experience

PhD in CS/ML/AI or related field

Tools

JAX

PyTorch

TPU

Job description

Research Engineer, World Models, DeepMind

Share Research Engineer, World Models, DeepMind

corporate_fare DeepMind place London, UK

• 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.

Preferred qualifications:

• 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.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

We are seeking a Research Engineer with a proven track record of building and shipping generative models in the real world. In this role, you will have strong engineering background in building, testing and deploying diffusion models applied to real-time video generation. You will work with our modeling, data and eval teams to integrate and scale up model capabilities. You will also have the opportunity to interface with the product team to refine the scope of our deployments.

You will drive cross-functional collaboration to establish rapid, iterative feedback loops spanning playtesting, real-time user insights, and rigorous evaluation frameworks. This high impact role requires deep direct technical leadership – architecting and maintaining robust, scalable codebases while pioneering advanced AI-driven code generation and automated code review workflows.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.