Sr. Physical Ai Research Scientist

Position Type: Full-Time, Permanent
Department: Toronto AI Lab
Work Location: Downtown Toronto
Work Arrangement: Hybrid: 3 Days per Week On-Site
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 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 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 architecture
Safety and Generalization:
Develop methods to improve the safety, robustness, and generalization of robotic foundation models, including vision-language-action (VLA) models and world models
Scaling via Simulation:
Build and maintain large-scale simulation frameworks leveraging generative models and domain randomization to enable scalable robot learning
Continual Learning:
Develop safe exploration and continual learning approaches that enable physical agents to adapt to unstructured environments while respecting strict safety constraints
Simulation-to-Reality Transfer:
Develop scalable, safety-critical simulation pipelines to rigorously evaluate and stress-test robot agents prior to real-world deployment
You will collaborate with researchers and engineers across multiple teams within the organization to build agents that are not only capable, but also safe, reliable, and robust in real-world environments.
PRINCIPAL RESPONSIBILITIES
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 solution via including but not limited to fine-tuning, policy steering, and Best-of-N sampling
Develop methods for Sim-to-real transfer, data-efficient learning (offline RL, self-supervised learning), robustness to noise and distribution shift
Collaborate with Physical Intelligence, Embodied AI, and Robotics teams across the organization 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
Additional duties as assigned
KNOWLEDGE, SKILLS, AND ABILITIES
Education and Professional Experience
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
General Technical Skills
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
Knowledge of transfer learning, meta learning, and contrastive learning is a plus
Proven ability to design, execute, and rigorously evaluate experiments in complex ML/AI systems
Strong proficiency in PyTorch and/or JAX
Preferred Technical Skills
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 are second nature to you
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
Research and Collaboration
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
Personal Attributes
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
NoteThis posting is for an existing vacancy. The expected base salary range for this position is $140k - $180k. Actual total compensation may include variable incentive pay. The determination of an applicant's base salary is based on the applicant's skills, competencies, location, and unique qualifications.
Artificial intelligence will be used in sourcing, reviewing and communicating with candidates for this position.
This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
The organization offers an attractive compensation package that encompasses a competitive salary and excellent benefits.
Conditions of EmploymentIt 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.
Equal Opportunity EmployerLG 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.
LG Electronics Canada, Inc. thanks all candidates for their interest, however, only those selected to continue in the process will be contacted.
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