Senior Researcher - Human-Computer Interaction

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 127,000 - 225,000; Full time

Job summary

Huawei Technologies Canada Co., Ltd. is seeking a Senior Researcher for a 12-month contract to lead research on next-generation intelligent products, focusing on human-AI interactions and multimodal interfaces. Candidates should have a Master's or PhD in relevant fields and at least 3 years of relevant experience.

The role involves defining research plans, conducting mixed-method studies, and collaborating with AI teams to improve user experiences. A commitment to inclusion and accessibility in recruitment is emphasized.

Qualifications

• 3+ years of experience in applied HCI, UX research, or human-AI interaction.
• Strong skills in qualitative and quantitative research methods.
• Ability to evaluate intelligent systems.

Responsibilities

• Lead HCI and human-AI interaction research for intelligent products.
• Conduct mixed-method research including usability testing and market analysis.
• Partner with AI researchers to translate insights into models and prototypes.

Skills

Applied HCI

UX research

Product research

Human-AI interaction research

Qualitative research methods

Quantitative research methods

AI concepts

Storytelling

Stakeholder management

Education

Master's or PhD in relevant fields

Job description

Huawei Canada has an immediate 12-month contract opening for a Senior 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

• Lead HCI and human‑AI interaction research for next‑generation intelligent products, with a focus on agentic AI, multimodal interfaces, and emerging device experiences.
• Frame ambiguous product and technology questions into clear research plans, hypotheses, study designs, success metrics, and actionable recommendations.
• Conduct mixed‑method research, including contextual inquiry, interviews, diary studies, usability testing, concept validation, survey research, log/behavioral analysis, controlled experiments, heuristic evaluation, and competitive/market analysis.
• Evaluate how users understand, trust, control, recover from, and collaborate with AI systems across voice, touch, visual, gesture, and context‑aware interactions.
• Partner with AI researchers, engineers, designers, and product managers to translate user insights into interaction models, product scenarios, prototypes, evaluation rubrics, and product‑ready requirements.
• Design and run studies for AI quality beyond traditional usability, including intent recognition, task completion, explainability, controllability, confidence calibration, latency tolerance, error recovery, privacy expectations, accessibility, and perceived value.
• Prototype and test new human‑AI workflows, including conversational agents, copilots, proactive assistants, multimodal task delegation, cross‑device handoff, and human‑in‑the‑loop decision patterns.
• Synthesize research findings into crisp narratives, frameworks, journey maps, design principles, and prioritization guidance that influence product direction and technical roadmap decisions.
• Stay current with HCI, UX research, human‑centered AI, multimodal interaction, and responsible AI practices; convert external trends into practical research questions, patents, publications, and product opportunities.

The total target annual compensation (based on 2,080 hours per year) ranges from $127,000 - $225,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate

• Master's or PhD degree in Human‑Computer Interaction, Cognitive Science, Psychology, Human Factors, Computer Science, Information Science, Design Research, Interaction Design, or a related field; equivalent industry experience will also be considered.
• 3+ years of applied HCI, UX research, product research, or human‑AI interaction research experience for Intermediate/Researcher level; 6+ years and demonstrated research leadership for Senior level.
• Strong command of qualitative and quantitative research methods, with the judgment to choose pragmatic methods under time, product, and technical constraints.
• Experience researching AI‑powered products, voice assistants, copilots, recommendation systems, multimodal interfaces, AR/VR, mobile/wearable experiences, or other complex interactive systems.
• Ability to evaluate intelligent systems where behavior is probabilistic, evolving, and context‑dependent, and to define research metrics for trust, usefulness, reliability, transparency, and user control.
• Working fluency with AI/ML concepts, including LLMs, multimodal models, agentic workflows, prompt behavior, model limitations, hallucination, personalization, privacy, and evaluation tradeoffs.
• Strong storytelling and stakeholder‑management skills, with the ability to communicate evidence clearly to technical and non‑technical audiences and drive alignment across research, design, engineering, and product.
• Portfolio, publications, patents, or shipped product examples that demonstrate measurable impact on user experience, product strategy, interaction models, or human‑centered AI systems are highly valued.
• Familiarity with accessibility, inclusive research, privacy‑sensitive research practices, research ethics, and responsible AI evaluation is a strong asset.

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.