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About the Role

LG Toronto AI Lab is seeking a Sr. Physical AI Research Scientist to design and develop 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, addressing safety, uncertainty, and reliability.

Responsibilities

• Design and implement safety verification and monitoring modules within the robot agent architecture.
• Develop methods to improve the safety, robustness, and generalization of robotic foundation models, including vision-language-action (VLA) models and world models.
• Build and maintain large-scale simulation frameworks leveraging generative models and domain randomization to enable scalable robot learning.
• Develop safe exploration and continual learning approaches for physical agents to adapt to unstructured environments while respecting strict safety constraints.
• Develop scalable, safety-critical simulation pipelines to rigorously evaluate and stress-test robot agents prior to real-world deployment.
• Quickly turn research concepts into practical, validated implementations.
• Contribute to data collection strategies and training pipelines.
• Develop imitation learning, reinforcement learning, and/or multimodal learning algorithms.
• Fine-tune robotic foundational models, including but not limited to VLMs, VLAs and world models.
• Design safety-aware robotic manipulation solutions.
• Develop methods for Sim-to-real transfer, data-efficient learning, robustness to noise and distribution shift.
• Collaborate with Physical Intelligence, Embodied AI, and Robotics teams to develop prototypes and deploy models on physical robots.
• Support and contribute to R&D collaborations with academic and industry partners.
• Mentor junior team members and contribute to research direction.

Requirements

• PhD in Machine Learning, AI, Robotics, or related fields with 3+ years of post-graduate R&D experience, OR M.Sc. in ML/AI/Robotics with 6+ years of experience.
• Strong publication in top-tier conferences or journals (incl., NeurIPS, ICLR, CVPR, CoRL, ICRA) related to Computer Vision, Continual Learning, Reinforcement Learning, and Robotics.
• Strong foundation in natural language processing (NLP), computer vision, reinforcement learning (RL), and robotics.
• Deep expertise in GenAI foundation models, including but not limited to multimodal large language models (MLLMs), vision-language models (VLMs), diffusion and flow matching models.
• Hands-on experience with constitutional AI, alignment, optimization, and reward modeling/shaping.
• Proven ability to design, execute, and rigorously evaluate experiments in complex ML/AI systems.
• Strong proficiency in PyTorch and/or JAX.
• Experience with robotic manipulation and navigation tasks in simulation and/or real-world settings.
• Expertise in robotic foundation models, including diffusion policies, VLAs, and (latent) world models.
• Pre-training and post-training of robotic foundation models.
• Familiarity with ROS1 and/or ROS2 for robot software development, system integration, and deployment pipelines is a plus.
• Practical experience with simulation platforms such as Isaac Sim, Genesis, and MuJoCo.
• Ability to identify, formulate, and define novel research problems.
• Experience of collaborating with academic and industry partners.
• Proven track record of translating research concepts into production-grade prototypes and deployed systems.
• Strong commitment to mentoring junior researchers and fostering a high-performing R&D culture.
• Highly creative problem-solver with a demonstrated ability to develop novel, real-world solutions.
• Comfortable operating in fast-paced, technically complex, and highly collaborative environments.
• Open to feedback from senior colleagues across the organization and actively incorporates input into work.
• Strong communication skills, with the ability to clearly articulate complex research ideas to both technical and non-technical stakeholders.
• 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.

Skills

• Machine Learning
• Artificial Intelligence
• Robotics
• Computer Vision
• Continual Learning
• Reinforcement Learning
• Natural Language Processing (NLP)
• GenAI foundation models
• Multimodal large language models (MLLMs)
• Vision-language models (VLMs)
• Diffusion models
• Flow matching models
• Constitutional AI
• Alignment
• Optimization
• Reward modeling/shaping
• Transfer learning
• Meta learning
• Contrastive learning
• PyTorch
• JAX
• Robotic manipulation
• Robotic navigation
• Robotic foundation models
• Diffusion policies
• VLAs
• World models
• ROS1
• ROS2
• Isaac Sim
• Genesis
• MuJoCo

Location

• Downtown Toronto

Work Type

• Full-Time
• Permanent
• Hybrid: 3 Days per Week On-Site

Experience Level

• 3+ years of post-graduate R&D experience (with PhD)
• 6+ years of experience (with M.Sc.)

Education Level

• PhD in Machine Learning, AI, Robotics, or related fields
• M.Sc. in ML/AI/Robotics

Salary/Compensations

• $140k - $180k

Benefits

• Competitive salary
• Excellent benefits

About the Company

• At LG, we create Innovation for a Better Life. We design products and services that make life better, easier, and more enjoyable. LG is a global leader in consumer electronics, committed to enriching the lives of our customers and creating 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.

Equal Opportunity

• 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. LG Electronics Canada, Inc., 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.