Position Type: Full-Time, PermanentDepartment: Toronto AI LabWork Arrangement: Hybrid: 3 Days per Week On-SiteAt 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 simple 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 Valuable promise to our customers by creating a better life for people, and a better future for our planet through our smart life solutions. 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. 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 modelsSimulation-to-Reality Transfer: Develop scalable, safety-critical simulation pipelines to rigorously evaluate and stress-test robot agents prior to real-world deploymentQuickly turn research concepts into practical, validated implementationsContribute to data collection strategies and training pipelinesDesign safety-aware robotic manipulation solution via including but not limited to fine-tuning, policy steering, and Best-of-N samplingDevelop methods for Sim-to-real transfer, data-efficient learning (offline RL, self-supervised learning), robustness to noise and distribution shiftCollaborate with Physical Intelligence, Embodied AI, and Robotics teams across the organization to develop prototypes and deploy models on physical robotsSupport and contribute to R&D; collaborations with academic and industry partnersMentor junior team members and contribute to research directionPhD in Machine Learning, AI, Robotics, or related fields with 3+ years of post-graduate R&D; experience, ORSc. in ML/AI/Robotics with 6+ years of experienceStrong publication in top-tier conferences or journals (incl., NeurIPS, ICLR, CVPR, CoRL, ICRA) related to Computer Vision, Continual Learning, Reinforcement Learning, and Robotics General Technical Skills Strong foundation in natural language processing (NLP), computer vision, reinforcement learning (RL), and roboticsDeep expertise in GenAI foundation models, including but not limited to multimodal large language models (MLLMs), vision-language models (VLMs), diffusion and flow matching modelsHands‑on experience with constitutional AI, alignment, optimization, and reward modeling/shapingProven ability to design, execute, and rigorously evaluate experiments in complex ML/AI systemsPreferred Technical Skills Expertise in robotic foundation models,



including diffusion policies, VLAs, and (latent) world modelsPre-training and post-training of robotic foundation models are second nature to youFamiliarity with ROS1 and/or ROS2 for robot software development, system integration, and deployment pipelines is a plusResearch and Collaboration Ability to identify, formulate, and define novel research problemsExperience of collaborating with academic and industry partnersProven track record of translating research concepts into production‑grade prototypes and deployed systemsPersonal Attributes Highly creative problem‑solver with a demonstrated ability to develop novel, real‑world solutionsOpen to feedback from senior colleagues across the organization and actively incorporates input into workStrong communication skills, with the ability to clearly articulate complex research ideas to both technical and non‑technical stakeholders Artificial intelligence will be used in sourcing, reviewing and communicating with candidates for this position.The organization offers an attractive compensation package that encompasses a competitive salary and excellent benefits.It is the candidate’s sole responsibility to obtain any work permits/visas or other authorizations which may be required to legally work in Canada prior to commencing employment.LG Electronics Canada, Inc. is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding work environment which highlights employees’ unique contributions to our company’s success. As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve. will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform LG’s Human Resources staff of the nature of any accommodation(s) that you may require in respect of any materials or processes.

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