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Co-op Researcher - Agentic Interaction Engineering

Job in Markham, Ontario, Canada
Listing for: Huawei Technologies Canada Co., Ltd.
Apprenticeship/Internship position
Listed on 2026-06-04
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 58000 - 104000 CAD Yearly CAD 58000.00 104000.00 YEAR
Job Description & How to Apply Below

Job description

Huawei Canada has an immediate co-op opening for a Researcher.

About the team:

The Huawei Human-Machine Interaction Lab unites global researchers, engineers, and designers to redefine human technology relationships through user centered, hands on research. We focus on agentic AI and multimodal interaction (voice, touch, vision, gesture) across smartphones, wearables, and emerging devices—advancing agentic workflows, multi-agent orchestration, and intuitive human-AI interfaces. By tightly integrating sensing, algorithms, and systems, our prototype driven work ships directly to products, enabling seamless task delegation and human AI collaboration at scale.

About the job:

  • Implementation
    :
    Assist in the design and implementation of agentic applications that allow AI to dynamically interact with external tools, APIs, and computer environments, enabling proactive, goal‑driven, and context‑aware behaviors.

  • Innovative Solutions
    :
    Experiment with and implement novel harness engineering techniques to enhance task execution, leveraging the latest advancements in Large Language Models (LLMs) and autonomous agent systems, where intelligent agents can initiate actions, make decisions, and collaborate with users (e.g., task automation, just‑in‑time assistance, cross‑application reasoning).

  • Collaboration
    :
    Work closely with senior engineers, AI researchers, and UX/UI designers on projects exploring novel human-AI interactions.

  • Problem Solving
    :
    Apply strong problem-solving skills to develop efficient solutions for complex technical challenges, including agent reliability, context-window management, and error recovery. Tackle challenges in agent memory, planning, tool use, and on‑device inference to create efficient, trustworthy agentic experiences.

  • Optimization
    :
    Help in evaluating and improving the performance, token efficiency, and reasoning latency of agentic interactions, ensuring they meet strict performance standards and user needs.

  • Research
    :
    Stay informed about the latest trends and advancements in autonomous agents, agent self-improvement, multi-agent systems, and human-AI teaming, and suggest innovative ideas for future projects.

  • The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

    Job requirements

    About the ideal candidate:

  • Currently pursuing a Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field, and registered with the school’s co-op program.

  • Strong programming skills in high-level languages essential for AI development (e.g., Python, TypeScript, C++).

  • Familiarity with algorithms, data structures, LLM APIs, and prompt engineering.

  • Excellent analytical skills and the ability to learn quickly and adapt to the rapidly evolving landscape of AI technologies.

  • Passion for artificial intelligence, autonomous systems, and creating next-generation interfaces designed specifically for human-AI collaboration.

  • Basic understanding of agentic frameworks, function calling/tool use, Model Context Protocol (MCP) integrations, or experience managing agent gateways in Linux environments is an asset.

  • Additional Information:

    Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

    All applications for this position are reviewed directly by our hiring team,
    we do not use artificial intelligence tools to screen or select candidates.

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