Applied AI Researcher – Multimodal Intelligence
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Mid-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · contract · CA$106,000–CA$156,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Explore and test AI/ML methods for interaction through speech, vision, language, touch, gesture, motion, and device sensors
- Rebuild promising methods from papers and open-source work, then check whether they suit real product settings
- Create models and test systems for multimodal perception, combining inputs, understanding context, and intelligent interaction
- Train or adapt machine learning and foundation models, then prototype their capabilities on devices
- Measure model quality, failure cases, robustness, speed, memory use, and other product trade-offs in structured experiments
What you bring
- A master's or doctoral degree in a relevant area such as computer science, engineering, AI, statistics, or HCI
- At least two years in relevant research or industry, with graduate research counting where applicable
- Practical skill with a deep learning framework such as PyTorch, TensorFlow, or JAX, plus strong Python for research prototypes
- Research accomplishments through graduate work, R&D, papers, patents, or open-source contributions, and hands-on work in a relevant AI area
- You can reproduce current research, build meaningful tests, interpret results critically, and turn unclear technical ideas into prototypes
Who this fits
This mid-level, 12-month contract suits a researcher who can move between experiments and practical prototypes for multimodal interaction. The role is onsite in Markham, Canada.
From the employer
Huawei Canada has an immediate 12-month contract 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:
Research, prototype, and evaluate new AI/ML technologies for multimodal human-machine interaction across speech/audio, vision, language, touch, gesture, motion, and other device sensors
Rapidly reproduce and extend promising approaches from research papers, open-source projects, and emerging AI technologies, assessing applicability to real product scenarios
Design and implement models and experimental systems for multimodal perception, cross-modal fusion, context understanding, and intelligent interaction
Train, fine-tune, adapt, or integrate ML and foundation models, and build practical prototypes that demonstrate capabilities on real devices
Design rigorous experiments to evaluate model quality, failure modes, robustness, latency, memory usage, and other product-relevant trade-offs
Collaborate with researchers, engineers, designers, and product teams to translate research results into compelling demonstrations and product solutions
Communicate findings through technical presentations, documentation, and experimental results, and contribute to patents or publications when appropriate
The total target annual compensation (based on 2,080 hours per year) ranges from $106,000 - $156,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Master's or PhD in CS, EE/CE, AI, ML, Statistics, HCI, or related field
At least 2 years of relevant research or industry experience, including graduate research where applicable
Strong foundation in ML/deep learning with hands-on experience in PyTorch, TensorFlow, JAX, or similar frameworks
Demonstrated research ability through graduate research, industry R&D, publications, patents, or open-source contributions
Hands-on experience in at least one relevant area: speech/audio, computer vision, multimodal learning, NLP, generative AI, foundation models, HCI, or sensor-based interaction
Strong Python skills, able to independently develop and debug non-trivial research prototypes (Typescript / Kotlin, C++/Java a plus)
Ability to reproduce recent research, design meaningful experiments, and critically analyze results rather than relying only on existing APIs
Strong analytical skills and ability to turn ambiguous technical ideas into working prototypes in a fast-moving environment
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.