Research Engineer – Multimodal AI & Interaction
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 · full-time · CA$106,000–CA$156,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build multimodal AI for consumer devices, working across speech, vision, language, touch, gesture and contextual sensing
- Take research projects from choosing a problem through model development, evaluation and product-focused testing
- Train and assess deep learning and foundation models for perception, reasoning, interaction and generation
- Create datasets and evaluation measures, then test how models perform and how interactions feel in practice
- Prototype research ideas and tune models for limits such as latency, memory, power, privacy and robustness
What you bring
- At least three years of relevant research or industry work, including experience gained through graduate research
- A master's or doctorate in a listed technical field, or an exceptional bachelor's background
- Hands-on machine-learning experience with PyTorch, TensorFlow, JAX or a comparable framework
- Strong Python skills and experience taking machine-learning work through data preparation, training, evaluation and deployment
Who this fits
This role suits a mid-level researcher who can turn multimodal AI research into working prototypes and collaborate across teams. It is based on-site in Markham, Canada.
From the employer
Huawei Canada has an immediate permanent 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, design, and build next-generation multimodal AI capabilities for intelligent consumer devices, spanning speech/audio, vision, language, touch, gesture, motion, and contextual sensing
Identify high-impact research problems and own projects from early exploration through model development, evaluation, and product-oriented validation
Design, train, fine-tune, and evaluate deep learning and foundation models for multimodal perception, reasoning, interaction, and generation
Develop new approaches for reasoning across modalities to enable more natural, adaptive human-machine interaction
Rapidly prototype research ideas, reproduce state-of-the-art methods, and evolve promising concepts into robust demonstrations
Build datasets and evaluation methodologies, run rigorous experiments, and establish metrics reflecting both model performance and real interaction quality
Optimize models for real-world constraints (latency, memory, power, privacy, robustness, on-device vs. cloud) and collaborate across research, engineering, and product teams
Contribute reproducible code, documentation, and IP through publications, patents, or open-source projects when appropriate
The total target annual compensation for this position 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, Math, HCI, or related field (exceptional Bachelor's candidates considered)
Strong foundation in ML/deep learning with hands-on experience in PyTorch, TensorFlow, JAX, or similar
Technical depth in multimodal learning, speech/audio, computer vision, NLP, generative AI, or foundation models
Experience with LLMs/VLMs, agentic AI, multi-agent systems, or context-aware intelligent systems is a strong asset
Track record turning research into working systems: prototypes, open-source, patents, publications, or shipped products
End-to-end ML development experience: data prep, training, evaluation, debugging, optimization, deployment
Understanding of practical AI trade-offs (quality, latency, compute, memory, robustness) and on-device/resource-constrained deployment
3+ years relevant research or industry experience (including graduate research), with strong Python (Typescript / Kotlin, C++/Java a plus) and collaboration skills across teams
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.