Research Engineer – Multimodal AI & Interaction
Role Overview
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.
Key Skills for This Role
Full Job Posting
Requirements
- 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.
About Huawei Technologies Canada Co., Ltd.
Global provider of ICT infrastructure and smart devices.
Visit company websiteApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Huawei Technologies Canada Co., Ltd.
Researcher - AI Agents & Knowledge Graphs
Ottawa, CAN
Project Specialist
Markham, CAN
IT Product Engineer - HRIS
Markham, CAN
Engineer - Agentic AI
Ottawa, CAN
Associate Office Manager
Markham, CAN
KHRONOS Standard Expert Lead
Vancouver, CAN
Human Resources Business Partner (HRBP)
Markham, CAN
Researcher - Technology Strategist - Physical AI
Markham, CAN