Senior Research Scientist, Frontier AI, DeepMind – Toronto, ON
Location: Toronto, ON | Company: Google
Google DeepMind is hiring a Senior Research Scientist, Frontier AI in Toronto, Ontario. This senior artificial intelligence research role focuses on advancing frontier machine learning systems across reinforcement learning, imitation learning, multimodal generative modeling and vision-language-video models.
The successful candidate will lead research initiatives, develop machine learning models and data pipelines, define experimental frameworks and help identify new research directions with the potential to influence both scientific progress and large-scale AI products.
About This Frontier AI Research Role
Google DeepMind develops advanced artificial intelligence technologies designed to address complex scientific and real-world challenges. The Senior Research Scientist will contribute to frontier AI research while helping translate new ideas into practical systems and research outcomes.
The position combines hands-on machine learning research with research leadership. Candidates will help define technical approaches, evaluation methods, data structures and project plans while collaborating with researchers and other technical stakeholders.
Key Areas of Responsibility
The role combines frontier AI research, machine learning development, scientific publishing and long-term research strategy.
Frontier AI Research
Lead and contribute to research involving advanced machine learning models, reinforcement learning, imitation learning and multimodal generative systems.
Research Publications
Write research papers that communicate findings and increase the impact of research across Google DeepMind and the broader scientific community.
Research Project Design
Define data structures, research frameworks, system designs and evaluation metrics required to develop and assess new research solutions.
Machine Learning Systems
Build and evaluate machine learning models, data pipelines and features while contributing to training and inference workflows.
Research Strategy
Identify emerging research areas and collaborate with internal and external researchers to help shape long-term research plans.
Technical Leadership
Identify gaps in existing technologies, engage relevant stakeholders and influence research efforts aimed at solving important technical problems.
Frontier AI and Multimodal Machine Learning
The position requires experience with reinforcement and imitation learning, multimodal generative modeling, model training and inference, and vision, vision-language or video multimodal models.
Preferred candidates may also have experience deploying frontier AI or generative models within large-scale consumer applications. Familiarity with JAX and accelerator technologies such as TPUs or GPUs is also valuable for this research environment.
Who We’re Looking For
This opportunity may suit an experienced AI researcher who combines deep machine learning expertise with the ability to lead research agendas, collaborate across teams and turn experimental ideas into impactful scientific results.
At least two years of experience leading a research agenda and helping define technical direction for complex research initiatives.
Experience building machine learning models, data pipelines and features for advanced AI systems.
Experience with multimodal generative modeling, model training and inference across advanced AI workloads.
Hands-on experience with reinforcement learning and imitation learning methods.
Experience developing or researching vision, vision-language or video multimodal models.
Availability
This position is based in Toronto, Ontario, Canada. Google DeepMind requires English proficiency to support effective collaboration and communication across its global teams.
Physical Requirements
The official job posting does not specify particular physical requirements for this position.
Why You’ll Love Working Here
This role provides the opportunity to contribute to frontier artificial intelligence research at Google DeepMind while collaborating with interdisciplinary teams working on technologies intended to advance science and create useful AI systems at global scale.
Google lists a Canadian base salary range of $185,000 to $191,000 CAD per year, plus a 15% target bonus, equity and benefits. Individual compensation is determined by factors including relevant skills, experience, education and training.
How to Apply
Interested candidates should apply through the official Google Careers website. Application materials should highlight frontier AI research, machine learning model development, reinforcement or imitation learning, multimodal generative models, research leadership and relevant scientific publications.
The official posting identifies this position as a new vacancy but does not provide a specific application deadline. Candidates should apply while the role remains active. Joblyz does not collect applications or participate in Google DeepMind’s hiring decisions.