Research Engineer, World Models, DeepMind

Google DeepMind; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google DeepMind seeks a Research Engineer with a proven track record in building and shipping generative models for real-world use. You will work on large-scale diffusion models for real-time video generation, collaborating with modeling, data and eval teams to scale capabilities and interface with product teams to refine deployment scopes.

You will contribute to cross-functional efforts, bridging research ideas with production-ready code, maintaining scalable architectures and driving rapid,

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 (e.g., JAX or PyTorch) 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

Diffusion models

Generative video architectures

Frontier AI research

Education

Bachelor’s degree or equivalent practical experience

PhD in Computer Science, Machine Learning, AI, or related quantitative field

Tools

TPU/GPU custom kernels

JAX

PyTorch

Job description

• 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.

Minimum 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 (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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.