Position Type: Full-Time, Permanent

Department: Emerging Tech

Work Location: Toronto, ON

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.

Position Summary Toronto’s AI Lab is seeking a Lead Agentic AI Researcher to drive the development and application of agentic AI systems across LG Electronics’ global product portfolio. This role will lead research efforts focused on enabling self-learning, autonomous, and personalized AI agents that power next-generation LG products, including smart home platforms, connected appliances, and future intelligent devices.





As a technical leader, you will define research direction and architecture for agentic AI capabilities such as lifelong learning, hierarchical memory, autonomous planning, and personalized inference. You will work at the intersection of advanced research and real-world deployment, ensuring that novel agentic AI concepts are designed with scalability, reliability, and product impact in mind.

In close collaboration with engineers, product teams, and external research partners, you will translate research breakthroughs into production-grade prototypes and scalable systems. Your work will help establish agentic AI as a core intelligence layer across LG’s product ecosystem, ultimately shaping how millions of users interact with intelligent devices worldwide.

Principal Responsibilities

Lead research on continual learning agents with explicit skill libraries/tools and curriculum/goal discovery.

Thrive in a rapid-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.

Design self-learning agent systems for lifelong skill acquisition/evolution; establish novel reward functions for agentic task completion quality and long-horizon consistency.





Develop personalized inference control via activation steering or persona vectors; research dynamic persona alignment ensuring user compatibility and enterprise safety.

Architect unified Agent–User–Memory frameworks integrating memory agents, user modeling (probabilistic embeddings, belief states), and orchestration layers for proactive personalization.

Lead university collaborations, co-author papers targeting A* conferences.

Translate research into production-grade prototypes.

Establish research baselines and evaluation protocols for long-context reasoning, test-time planning, memory utility, and skill retention; harden against overfitting and distribution shift.

Enjoy tuning and optimizing large multimodal models and have experience building evaluations to measure their performance.

Knowledge, Skills, And Abilities Education & Experience

PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related field with 3+ years of post graduate research experience, OR

Master’s degree in ML/AI or related field with 6+ years of relevant post graduate experience

Proven research experience in areas such as agentic AI systems, reinforcement learning, continual learning, hierarchical memory, multi agent systems, or large language models

Technical Skills

Deep expertise in agentic AI architectures, including autonomous planning, skill libraries, lifelong learning, and memory augmented systems

Strong hands on experience using PyTorch and/or JAX for large scale model training

Experience with distributed training frameworks (e.g., FSDP, Megatron, or similar)

Hands on experience designing RL reward functions for long horizon tasks, agent evaluation, and memory management

Strong ability to establish research baselines, evaluation protocols, and metrics for long con

📌 Lead Agentic AI Researcher (Toronto)
🏢 LG electronics
📍 Toronto