Sr. Physical AI Research Scientist in Toronto

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. Our home appliances, including kitchen, laundry and lifestyle solutions, media entertainment products, and cutting-edge business solutions in IT, digital signage, and HVAC, are driven by one simple idea: to make Life 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.

Requirements:

• 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.
• Scaling via Simulation: Build and maintain large-scale simulation frameworks leveraging generative models and domain randomization.
• Continual Learning: Develop safe exploration and continual learning approaches that enable physical agents to adapt to unstructured environments.
• Simulation-to-Reality Transfer: Develop scalable, safety-critical simulation pipelines to evaluate and stress-test robot agents.

You will collaborate with researchers and engineers across multiple teams within the organization to build agents that are capable, 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.
• Design safety-aware robotic manipulation solutions.
• Develop methods for Sim-to-real transfer and data-efficient learning.
• Collaborate with 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.

Knowledge, Skills, And Abilities:

• 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 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.
• Hands-on experience with constitutional AI, alignment, optimization, and reward modeling/shaping.
• Proven ability to design, execute, and evaluate experiments in complex ML/AI systems.
• Strong proficiency in PyTorch and/or JAX.

Preferred Technical Skills:

• Experience with robotic manipulation and navigation tasks.
• Expertise in robotic foundation models.
• Familiarity with ROS1 and/or ROS2 for robot software development.
• 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 collaborating with academic and industry partners.
• Proven track record of translating research concepts into production-grade prototypes.
• Strong commitment to mentoring junior researchers.

Personal Attributes:

• Highly creative problem-solver.
• Comfortable operating in fast-paced, technically complex environments.
• Open to feedback from senior colleagues.
• Strong communication skills.

Note: This 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.

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.

Conditions Of Employment: 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.

Equal Opportunity Employer: LG Electronics Canada, Inc. is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding work environment.