Senior Research Scientist - Google, Toronto, ON

AI Summary

As a Senior Research Scientist at Google DeepMind in Toronto, ON, you will drive frontier AI development. This role involves leading research projects, identifying new areas, and publishing impactful research papers. Key requirements include a PhD in Computer Science or equivalent practical experience, alongside at least two years of experience leading a research agenda and building machine learning models.

About Google DeepMind and the Role

Google DeepMind is at the forefront of artificial intelligence, dedicated to advancing AI development to address complex global challenges and accelerate high-quality product innovation for billions of users. This pioneering AI lab, with its exceptional interdisciplinary teams, prioritises safety and ethics in all its technological applications for widespread public benefit and scientific discovery. As a Senior Research Scientist, you will contribute significantly to this mission, pushing the boundaries across multiple domains. This role offers diverse learning opportunities and varied career pathways for individuals driven to achieve exceptional results through collective effort within the Google ecosystem.

Key Responsibilities and Impact

In this pivotal Senior Research Scientist role, you will be instrumental in shaping the future of frontier AI research. A core responsibility involves writing impactful research papers to share and generate the influence of research results across various functions and within the broader research community. You will help grow the research business by sharing current research trends and best practices, fostering a collaborative environment. Furthermore, you will drive project work by meticulously defining the data structure, framework, design, and evaluation metrics essential for robust research solution development and implementation. This includes the crucial task to identify timelines and secure the necessary resources. A key aspect of this position is to identify new and upcoming research areas through active interaction with potential external and internal collaborators, helping to develop long-term research strategy and plans to expand the impact of Google research. You will also identify defined problems or gaps in existing technology and engage with stakeholders and leaders to address these challenges effectively, leveraging your extensive experience.

Required Expertise and Qualifications

To excel in this Senior Research Scientist position, candidates must possess a PhD in Computer Science, a related field, or demonstrate equivalent practical experience. A minimum of two years of experience leading a research agenda is essential, showcasing your capability to guide significant research initiatives. Furthermore, candidates should have proven experience with building sophisticated machine learning models, developing robust data pipelines, and implementing effective feature development strategies. Specific expertise in reinforcement and imitation learning, multimodal generative modeling, training and inference, and vision/vision-language/video multimodal models is also required. Preferred qualifications include at least two years of coding experience and one year of experience leading research efforts and influencing other researchers. Ideal candidates will also have experience deploying frontier AI or generative models across large-scale consumer applications, along with practical experience using JAX, and TPUs or GPUs, further enhancing their ability to contribute to cutting-edge learning advancements at Google.