Position Type: Full-Time, Permanent

Department: Emerging Tech

Work Location: Toronto, ON

Work Arrangement: Hybrid: 3 Days per Week On-Site

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 fast-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-context reasoning, planning, and skill retention
• Experience tuning and optimizing large multimodal or foundation models and building robust evaluation pipelines

Research Leadership & Collaboration

• Strong publication record in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL) related to agentic AI, continual learning, or personalized AI systems
• Demonstrated ability to define and lead focused research roadmaps under resource or capacity constraints
• Experience leading or significantly contributing to academic collaborations, including co-authoring papers and managing university partnerships
• Track record of successfully transitioning research concepts into production-grade prototypes or systems
• Passion for mentoring and developing junior researchers and fostering a strong research culture

Personal Attributes

• Strategic thinker with the ability to balance long-term research vision and near-term practical impact
• Highly creative problem solver with a demonstrated ability to generate novel, real-world solutions
• Comfortable working in a fast-paced, technically complex, and collaborative environment
• Strong communication skills, with the ability to clearly explain complex research ideas to both technical and non-technical stakeholders

Note: This posting is for an existing vacancy. The expected base salary range for this position is $175k - $225k. 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 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.