Agentic AI Researcher – Toronto, ON | Visa + Salary Insights

📍 Location: ca

🏷 Type: Full-time

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Job Overview

This role sits within LG Electronics Canada’s Toronto AI Lab, focusing on next-generation agentic AI systems for intelligent consumer and enterprise products. The position targets advanced research in autonomous agents, lifelong learning, and memory-augmented architectures that can operate across long-horizon tasks. The ideal candidate is a highly technical ML researcher with strong grounding in reinforcement learning, LLMs, and multi-agent systems. You will collaborate with senior researchers and engineers to transform cutting-edge AI theory into deployable prototypes embedded across LG’s smart home, media, and connected device ecosystem.

📅 Job Timeline & Status

This role is in an active mid-cycle hiring phase with ongoing candidate review. Given its niche focus on agentic AI research and limited lab positions, competition is expected to be high. Applicants with strong research portfolios in LLMs, reinforcement learning, or memory-augmented systems should apply immediately, as similar roles often close without fixed deadlines.

🌍 Work Eligibility & Location

This is a Hybrid research role anchored in Toronto. International applicants may be considered, but work authorization is required prior to start. Visa sponsorship is not explicitly guaranteed but is commonly supported for high-impact ML research hires in global AI labs.

💰 Salary Intelligence

This compensation sits in the competitive mid-to-senior AI research band for industry labs in Canada. The package is strong for applied research roles, particularly given the focus on agentic systems and production-scale deployment pathways across LG’s global product ecosystem.

📊 Role Breakdown

This position focuses on advancing agentic AI systems that combine reasoning, memory, and autonomous decision-making. Around 30% of your time will involve designing reinforcement learning environments and reward functions for long-horizon task completion. Another 25% centers on building memory-augmented architectures, including hierarchical memory systems and persistent user modeling. Approximately 20% is dedicated to experimentation with LLM-based agents, evaluating planning robustness and tool-use efficiency. The remaining 25% involves research prototyping, paper drafting, and collaboration with academic partners.

You will actively work with PyTorch and optionally JAX, designing scalable experiments for continual learning agents. A key focus is developing systems that exhibit lifelong adaptation, including dynamic skill acquisition, curriculum learning, and self-improving inference pipelines. The role also includes designing evaluation metrics for agent consistency, memory utility, and task generalization across long temporal horizons.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly selective research role requiring deep expertise in agentic AI and scalable learning systems. Candidates are typically evaluated on publication history, system design ability, and practical implementation of RL-based architectures. Expect a highly competitive pool, particularly from PhD-level researchers.

🚀 Career Impact

This role offers strong long-term career acceleration in applied AI research. Exposure to production-scale agent systems and collaboration with global research teams provides direct pathways into senior research scientist and AI architect roles across top AI labs and tech companies.

📋 Key Responsibilities

You will design agentic AI systems capable of lifelong learning and autonomous adaptation across LG’s ecosystem. Responsibilities include developing reinforcement learning frameworks, building memory systems for persistent context retention, and engineering evaluation pipelines for long-context reasoning. You will prototype LLM-based agents capable of tool use, planning, and multi-step reasoning under uncertainty.

Additional duties include optimizing multimodal models, analyzing experimental results, and contributing to academic publications. You will also collaborate with cross-functional teams to transition research prototypes into scalable production systems deployed across smart home and connected devices.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

Hiring momentum is currently strong with continuous intake of candidates since early May 2026. Given the high competition and niche research scope, response times may vary between 2–6 weeks. Because no fixed deadline is listed, applications may close without notice. Candidates with strong agentic AI or RL backgrounds are likely to receive faster screening, especially if they demonstrate publication-level research or production system experience.

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✅ Job Source & Verification

This job post is derived from an official LG Electronics Canada AI Lab listing, last verified on June 7, 2026. The source is highly credible as it originates from a corporate Dayforce HCM recruitment system used for enterprise hiring. Information reflects the latest publicly available posting and internal role structure at time of extraction.