Research Scientist, Frontier AI, DeepMind

• 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 learn from diverse data modalities, complex environments, and structured datasets.
• Develop and establish benchmarks for evaluating frontier AI systems across diverse capabilities, reasoning tasks, and domains.
• Contribute to the overall research strategy of the team, identifying new research directions and influencing the broader research community through publications and presentations

Minimum qualifications:

• 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).

Preferred qualifications:

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

• 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).