Senior Research Scientist, Frontier Ai, Deepmind

Google Google · Big Tech · Toronto, ON +1

Google DeepMind is seeking a Senior Research Scientist in Toronto to advance AI development, focusing on frontier AI research. The role involves publishing research papers, driving project work, identifying new research areas, and collaborating with internal/external partners. Minimum qualifications include a PhD, experience leading research agendas, and expertise in machine learning models, data pipelines, reinforcement learning, multimodal generative modeling, and vision/language/video models.

What you'd actually do

  1. Write research papers to share and generate impact of research results across function and in the research community.
  2. Help in growing research business by sharing research trends and best practices within the community.
  3. 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.
  4. 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.
  5. Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

Skills

Required

  • PhD in Computer Science, a related field, or equivalent practical experience
  • Leading a research agenda
  • Building machine learning models
  • Data pipelines
  • Feature development
  • Reinforcement learning
  • Imitation learning
  • Multimodal generative modeling
  • Training
  • Inference
  • Vision multimodal models
  • Vision-language multimodal models
  • Video multimodal models

Nice to have

  • Coding experience
  • Leading research efforts
  • Influencing other researchers
  • Deploying frontier AI or generative models across large-scale consumer applications
  • JAX
  • TPUs
  • GPUs

What the JD emphasized

  • 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.
  • Experience deploying frontier AI or generative models across large-scale consumer applications.

Other signals

  • pushing the boundaries
  • advancing AI development
  • solve complex global challenges
  • high-quality product innovation
  • widespread public benefit
  • scientific discovery
  • safety and ethics