Research Engineer, Gemini Diffusion
Research Engineer, Gemini Diffusion
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Job Description
Snapshot
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
About Us
Were looking for a Research Engineer to help accelerate our research in Artificial Intelligence as part of our mission to create the next generation of Generative AI technologies. Our team has a unique mandate: to work on speculative longer-horizon research projects that if successful yield step-change improvements in the capabilities of our frontier models. We target paradigm-shifting ideas and are prepared to invest the time and resources necessary to achieve them. Our goal is to ideate research develop validate and integrate these improvements into major Google technologies.
Our primary research focus is Gemini Diffusion our state-of-the-art text diffusion model. We believe that text diffusion has the potential to unlock a new paradigm in generative AI offering unprecedented capabilities and lightning-fast latency. With strong backing from GDM leadership our team is dedicated to thoroughly exploring and advancing this technology.
Our team is a multi-disciplinary group of engineers and scientists that work in close collaboration leveraging our unique skills with a strong focus on building and shipping ground-breaking AI. We are a problem-focused team meaning we are interested in any tool or idea that can solve a concrete problem rather than being tied to a particular set of tools.
The Role
We are looking for a Research Engineer to join our team in London and help us accelerate our mission. As a Research Engineer you will apply your engineering and research skills to advance paradigm-shifting research at a large scale. You will be at the heart of our efforts to deliver step-changes in the capabilities of our frontier models with a significant focus on our Gemini Diffusion project. You will work in a tight-knit and highly collaborative team environment that fosters both engineering and research skills giving you hands-on experience with improving state-of-the-art AI systems. As a team member your work may involve:
Key responsibilities:
- Brainstorming new disruptive ideas that could become the next generation of frontier AI models particularly within the text diffusion space.
- Building and developing these ideas with the rest of the team contributing directly to Gemini Diffusion research.
- Solving key research challenges by designing and executing experimental research on text diffusion models sharing analyses and proposing next steps.
- Rigorously validating the performance impact of our work at large scale.
- Working with other Generative AI teams to move the technologies we develop out of the lab and into production.
- Performance engineering benchmarking and optimisation especially for large-scale diffusion models.
- Bringing engineering expertise into our projects. You will share your skills and knowledge with other engineers and researchers. We take engineering standards seriously and you will be a steward of that ethos.
About You
In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience:
- Degree in computer science electrical engineering science mathematics or equivalent experience.
- Programming experience particularly with Python-based scientific libraries such as Numpy Scipy JAX PyTorch or TensorFlow.
- Familiarity with the machine learning mathematics and statistics needed to follow relevant research papers (linear algebra calculus etc.) and reason about cutting-edge innovations.
- A track record of building software either in open source or as part of a company product or research paper.
- Agile and solution-focused mindset - be prepared to work on anything!
In addition the following would be an advantage:
- Academic research experience in machine learning publications or research experience in related fields.
- Strong communication skills (via discussion presentation technical and research writing whiteboarding etc.).
- Large-scale system design distributed systems.
- Distributed computation for ML especially in the context of accelerators (e.g. sharding multi-host computation).
- C or broader programming experience.
- Data engineering and visualisation.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Applications close on Friday 18th July 2025.
Employment Type
Full Time
