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Snapshot
At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking fundamental research and deployment in Generative Media for images, videos and beyond.
Our team aims to build and improve state of the art generative models for images, videos and other modalities. We are interested in candidates familiar with the latest generative modelling techniques such as diffusion models, generative adversarial models, variational auto-encoders, etc. You will need to be able to understand and work on the promising research directions, and implement them at scale. Therefore, both a strong theoretical background and a hand-on experience with large-scale machine learning is required. You will collaborate closely with other leading researchers, contributing to the development of cutting edge generative models and translating research into products across Google and externally.
About Us
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. 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’re looking for a versatile Research Scientist, at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas.
Key responsibilities:
- Come up with ideas to solve new problems/improve performance of existing models, e.g., improving or evaluating the capabilities of models, or measuring outcomes.
- Develop technical solutions to test these ideas and assess performance.
- Report and present research findings and developments including results clearly and efficiently.
- Contribute to team collaborations to meet ambitious research goals.
- Engage with application and product needs, to inform research decisions.
About You
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
- PhD in machine learning or closely related field.
- A proven track record of publications.
- Hands-on experience with Python and neural network training.
- Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation.
In addition, the following would be an advantage:
- Experience with image and/or video generation.
- Good understanding of diffusion models.
- Hands-on experience with large scale training of models.
- Experience translating research innovations into product applications.
- Understanding of safety and ethical concerns associated with generative models.
Closing date: Thursday, 26th September at 5:00pm BST
Top Skills
What We Do
We’re 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.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
