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. SnapshotArtificial 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. About UsAt 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 foundational research in multimodal learning and evaluation with a focus on generative models. Our team aims to push the understanding and application of multimodal generative models; we focus on evaluation and improvement of models particularly at the post-training stage. We are interested in candidates with experience in evaluation and analysis of foundation models and familiar with the latest generative modelling techniques.
You will need to be able to understand and work on the promising research directions, and implement them.
Therefore, both a strong theoretical background and hands-on experience with neural network training is required.
You will collaborate closely with other leading researchers, contributing to the development of cutting edge techniques to evaluate and improve multimodal generative models.
The RoleWe're looking for a versatile Research Scientist, comfortable with both 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.About YouIn order to set you up for success as a Research Scientist at Google DeepMind, we are looking for the following skills and experience:
PhD in natural language processing, machine learning, or closely related field.A proven track record of publications.Hands-on experience with Python, neural network training, and multimodal data.Ability to communicate technical ideas effectively, e.g.
through discussions, whiteboard sessions, written documentation.In addition, any of the following would be an advantage:
Good understanding of multimodal diffusion models.Hands-on experience with large scale training of models.Closing date: Friday 17th December, 9:00am GMT
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