Research Scientist, Frontier AI, Google DeepMind

Requirements:

• PhD in Machine Learning, Computer Science, Statistics or a related field, or equivalent practical experience.
• 15 years of experience leading a research agenda.
• Experience in deep learning and experience with Python and neural network training.
• Experience training, evaluating, and interpreting large multimodal models and large language models.
• A publication record in machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

Nice to haves:

• Experience in research leadership across organizations.
• Experience leading a diverse set of research scientists, research engineers, and software engineers.

What you'll be doing:

• Define and lead ambitious research projects, setting the technical direction and ensuring the successful execution of the research agenda.
• 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.
• Contribute to the overall research strategy of the Health team, identifying new research directions and influencing the broader research community through publications and presentations.

Perks and Benefits:

• Opportunity to work at Google DeepMind on cutting-edge AI research.
• Collaborate with global teams and work on diverse projects.
• Pioneering AI lab with exceptional interdisciplinary teams focused on solving complex global challenges.
• Commitment to safety, ethics, and creating public benefit through AI innovation.