Research Scientist, Multimodal Modelling, Paris
Research Scientist, Multimodal Modelling, Paris
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Job Description
Snapshot
We are seeking a research scientist to join our team dedicated to investigate the development of core multimodal 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 humanitys most useful inventions. At Google DeepMind were 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. Youll 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 whats 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 were 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.
Employment Type
Full Time
