At LG, we create Innovation for a Better Life.We design products and services that make life better, easier, and more enjoyable. Whether it’s through smart functionality, design, or innovative technology, our home appliances, including kitchen, laundry and lifestyle solutions, media entertainment products including televisions, sound bars, projectors, computer monitors and laptops, to cutting-edge business solutions in IT, digital signage, and HVAC, we’re driven by one straightforward idea: to make Life Good.As a global leader in consumer electronics, LG is committed not only to enriching the lives of our customers, but also to create rewarding experiences for our employees. We offer meaningful challenges, continuous learning opportunities, and a workplace culture that recognizes collaboration and rewards excellence.Across our global network, LG employees share a common mission: to bring the Life’s Good promise to our customers by creating a better life for people, and a better future for our planet through our smart life solutions. Our relentless drive for innovation, combined with our culture of challenge and change, enables us to lead in today’s dynamic market.At LG, Life’s Good.LG Toronto AI Lab is looking for a Sr. Physical AI Research Scientist who will contribute to designing and developing robot agents that operate safely and robustly in the real world.



This role focuses on advancing physical intelligence agents that perceive, reason, and act under real-world constraints, while explicitly addressing safety, uncertainty, and reliability, which are key priorities for LG Electronics as a leading global corporation in the design and development of robotics systems (from industrial and home robots to humanoids).Our mission is to develop safe robotic agents that robustly align their actions with high-level intent, environmental constraints, and safety requirements, even under uncertainty in open-world settings. In this role, you will contribute to:Robot Safety Architecture: Design and implement safety verification and monitoring modules within the robot agent architectureSafety and Generalization: Develop methods to improve the safety, robustness, and generalization of robotic foundation models, including vision-language-action (VLA) models and world modelsScaling via Simulation: Build and maintain large-scale simulation frameworks leveraging generative models and domain randomization to enable scalable robot learningContinual Learning: Develop safe exploration and continual learning approaches that enable physical agents to adapt to unstructured environments while respecting strict safety constraintsSimulation-to-Reality

📌 Sr. Physical Ai Research Scientist (Toronto)
🏢 LG Electronics Canada
📍 Toronto