Applied AI Researcher – Multimodal Intelligence

About the role

Huawei Canada has an immediate 12‑month contract opening for a Researcher. The Huawei Human‑Machine Interaction Lab unites global researchers, engineers, and designers to redefine human‑technology relationships through user‑centered, hands‑on research.

Key responsibilities

• 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.

Required profile

• Master's or PhD in CS, EE/CE, AI, ML, Statistics, HCI, or a 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.

Required skills

• Python
• PyTorch
• TensorFlow
• JAX
• Typescript
• Kotlin
• C++
• Java