Research Scientist, Multimodal Generation

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

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 and experienced Research Scientist with strong engineering skills 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 with significant hands-on experience in generative modelling techniques and who are familiar with the computer vision domain. You will need to be able to understand and work on the promising research directions, and implement them at scale. Therefore, both a strong technical background and hands-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.

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.

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.

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.