Head of Toronto AI Center
Position Summary & Responsibilities
Lab Summary:
Samsung Research America (SRA) develops next-generation technologies in software, user experience, and services for future products. Headquartered in Silicon Valley with locations across North America, we partner with industry and academia to translate research and innovation into tangible outcomes. We lead in machine intelligence by building AI that is user-centric and physically grounded—AI that understands not just what users want, but their physical context and environment.
Samsung is uniquely positioned to bring this vision to life through nearly 500 million connected devices we sell annually. Our mission is to holistically integrate AI into connected ecosystems—homes, offices, robotics, and beyond—creating a platform that scales quickly while providing deep contextual understanding and spatial awareness.
The AI Center in Toronto, Canada plays a pivotal role in developing next-generation software, user experiences, and intelligent services that enrich consumers’ lives. This lab actively contributes to the international research community through publications and presentations at major conferences.
Areas of Research:
- Computer Vision
- Contextual/Multi-Modal Modeling
- 3D Perception & Scene Understanding
- Inference and Reasoning
- Machine and Deep Learning
- Human Computer Interaction (HCI)
- Natural Language Processing
Position Summary:
Samsung’s AI research team in Toronto is looking for an outstanding and highly self-motivated leader to head the lab. The candidates should have extensive expertise in deep learning, computer vision and physics-based AI.
The AI research center is a key part of Samsung’s global R&D effort and aims to have direct impact on future Samsung products reaching hundreds of millions of users globally. The candidate will work with a team of research scientists and engineers tackling real-world problems involving Samsung’s Artificial intelligence products. The candidate can also have the opportunity to publish at top-tier conferences in deep learning, computer vision, and language understanding.
Position Responsibilities:
- Build, manage, develop, lead, and support the AI research team, with the outcome of high-impact research insights that influence the produ
Key Role Competencies & Evaluation Highlights
Evaluating deep technical execution paired with the ability to bridge advanced R&D with scalable consumer or enterprise product applications.
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