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. We are open to Zurich, London or Tel Aviv as the location for this role. Key responsibilities:

• Come up with ideas to solve new problems in Generative Media and improve performance and capabilities of existing models, e.g., developing, 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 are looking for the following skills and experience:

• Ph.D. in computer vision, 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, any of the following would be an advantage:

• Experience with controllable image and/or video generation.
• Good understanding of diffusion models & large language models.
• General experience in the computer vision domain.
• 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.

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.

Closing date: Friday, 12th September at 10:00am BST