Lead agentic AI research at LG’s Toronto AI Lab, advancing autonomous planning and lifelong learning for intelligent products worldwide. This technical leadership role directs agentic AI research across LG Electronics’ global product portfolio. You will define architectures spanning hierarchical memory, personalized inference, and autonomous planning. The work connects advanced research with production-grade prototypes, scalable systems, and product impact. Key Responsibilities:

Lead research on continual learning agents and skill libraries Design lifelong learning systems and long-horizon reward functions Architect Agent–User–Memory frameworks for proactive personalization Establish evaluation protocols for reasoning, planning,



and skill retention Translate research breakthroughs into production-grade prototypes Requirements:

PhD with three-plus years postgraduate research experience, or equivalent master’s pathway Research experience in agentic AI, reinforcement learning, or continual learning Expertise in autonomous planning, memory systems, and lifelong learning Hands-on PyTorch or JAX experience for large-scale training Solid publication and academic collaboration record Shape LG’s intelligent product ecosystem through agentic AI research, scalable architectures, personalized inference, and rigorous evaluation.

📌 Lead Agentic AI Research Scientist (Toronto)
🏢 LG Electronics Canada
📍 Toronto