Senior Research Scientist, Frontier AI, DeepMind
Summary
Research scientist at DeepMind in Toronto designing and publishing AI models, frameworks, and strategies to advance frontier AI systems and their real-world applications.
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.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $185000 - $191000 (CAD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Write research papers to share and generate impact of research results across function and in the research community.
- Help in growing research business by sharing research trends and best practices within the community.
- Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
- Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda.
- Experience with building machine learning models, data pipelines and feature development.
- Experience with reinforcement and imitation learning, multimodal generative modeling, training and inference, and vision/vision-language/video multimodal models.
Preferred qualifications:
- 2 years of coding experience.
- 1 year of experience leading research efforts and influencing other researchers.
- Experience deploying frontier AI or generative models across large-scale consumer applications.
- Experience using JAX, and TPUs or GPUs.