A track record of building software, either in open source or as part of a company product or research papers.
Requirements
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We’re looking for engineers and scientists to help accelerate our research in Artificial Intelligence as part of our mission to create the next generation of Generative AI technologies.
We believe that text diffusion has the potential to unlock a new paradigm in generative AI, offering unprecedented capabilities and lightning-fast latency.
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.
Artificial Intelligence could be one of humanity’s most useful inventions.
At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.
As a Research Scientist, you will apply your deep scientific knowledge and research skills to advance paradigm-shifting research at a large scale.
You will work in a tight-knit and highly collaborative team environment that fosters fundamental research and technical innovation, giving you hands-on
experience with improving state-of-the-art AI systems. As a team member, your work may involve:
Brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space.
Working collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production.
Advancing the fundamental architecture , algorithmic design, and capabilities of large-scale diffusion models.
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
Advanced degree in computer science, electrical engineering, science, mathematics, or equivalent experience. Academic research
experience in machine learning, publications, or research experience in related fields. •
Experience with some or all LLMs, Transformers, Diffusion models, Text diffusion, Large-scale distributed training.
Programming experience, particularly with Python-based scientific libraries such as Numpy, Scipy, JAX, PyTorch, or TensorFlow.
Deep familiarity with the machine learning, mathematics, and statistics needed to follow relevant research papers (linear algebra, calculus, etc.) and reason about cutting-edge innovations.
Distributed computation for ML, especially in the context of accelerators (e.g., sharding, multi-host computation).
C++ or broader programming experience.
Additional details
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 primary research focus is Gemini Diffusion , our state-of-the-art text diffusion model.
With strong backing from GDM leadership, our team is dedicated to thoroughly exploring and advancing this technology.
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. About us
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. The role
We are looking for a Research Scientist to join our team in London and help us accelerate our mission.
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.
Prototyping 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.