Research Scientist, Frontier AI, DeepMind

At DeepMind (GDM), we’re a team of scientists, engineers, machine learning experts, and more, working together to advance artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, ensuring that safety and ethics are the highest priority.

As a Research Scientist, you will utilize experience in foundational research, to expand the frontiers of artificial intelligence including driving the development of next-generation foundational AI architectures and frontier models. This will involve close collaboration with research scientists and software engineers across the globe, working to create AI models capable of integrating and reasoning across diverse modalities. You will work collaboratively to manage fundamental challenges in machine learning and AI, pushing the boundaries of what's possible.

The team operates within the GDM Frontier AI unit, which is the engine of innovation for DeepMind, pioneering breakthrough research and collaborating across Alphabet to deliver real-world impact.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities:

• 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.