Research Scientist, Multimodal Modelling, Paris

Snapshot

We are seeking a research scientist to join our team dedicated to investigate the development of core multimodal models. In this role, you will engage in cutting-edge research into vital technologies underpinning next-generation multimodal models, while simultaneously contributing to the exploration of various applications.

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, ensuring that safety and ethics are the highest priority.

The Role

We are seeking a highly motivated Research Scientist with robust engineering skills and a background in foundation research. You'll partner with research scientists and software engineers globally to develop and deploy AI models for multimodal integration and reasoning. Your responsibilities will include designing evaluation and training datasets, with a focus on transformative domains, such as healthcare. At Google DeepMind, our Research Scientists work collaboratively to tackle fundamental challenges in machine learning and AI, pushing the boundaries of what's possible.

Key Responsibilities

• Conduct cutting-edge research and develop novel technologies.
• Design and implement innovative model architectures that effectively integrate diverse datasets, particularly across image and text modalities.
• Develop and establish benchmarks for evaluating multimodal models across a wide range of tasks and domains.
• Clearly communicate research findings and collaborate with teams across Google to maximize impact.
• Contribute effectively within a collaborative environment to achieve ambitious research goals.

About You

To thrive as a Research Scientist at Google DeepMind, we're looking for individuals with the following qualifications and experience:

• A PhD in machine learning, computer science, statistics or a closely related field
• A strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV) and/or leading journals (e.g. Nature).
• A proven track record of deep learning and experience with Python and neural network training (publications, open-source projects, relevant work experience, …).
• Significant experience in training, evaluating, and interpreting large multimodal models and large language models.
• Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation
• Proven ability to design and execute independent research projects

In addition, the following would be an advantage:

• A solid understanding of computer vision.

Application deadline: 1st August

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 opportunities 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.