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:
Rapidly prototype, implement, and reproduce state-of-the-art AI and ML models to support next-generation intelligent products, including smartphones, smart glasses, wearables, and other smart devices.
Explore innovative ideas through literature review, experimentation, and collaboration with internal stakeholders.
Evaluate model performance, optimize implementations, and contribute to advancing product-level AI capabilities.
Present research outcomes and findings to internal teams and collaborate closely with product groups to translate research prototypes into deployable solutions.
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:
PhD or Master graduates in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related field.
Solid understanding of machine learning fundamentals and hands-on experience in deep learning model development.
Proficiency in Python and experience with major deep learning frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers.
Strong implementation and debugging skills, with the ability to quickly reproduce and adapt research models from papers or open-source repositories.
Proven ability to translate research ideas into working prototypes or demonstrable systems.
Knowledge or experience in image, video, speech and audio processing, image/video/speech foundation models, vision-language/audio-language models is an asset.
Track record of research contributions through publications, patents, or open-source projects.
Familiarity with large-scale data processing, model optimization, and evaluation of generative or multimodal AI systems.
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.
Skills Required
- PhD or Master graduates in Computer Science, Electrical Engineering, Machine Learning, AI, or related field
- Solid understanding of machine learning fundamentals
- Hands-on experience in deep learning model development
- Proficiency in Python
- Experience with major deep learning frameworks
- Strong implementation and debugging skills
- Ability to translate research ideas into working prototypes
What We Do
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
