Research Engineer – Multimodal AI & Interaction

Reposted One Month Ago
Be an Early Applicant
Markham, ON, CAN
In-Office
106K-156K Annually
Mid level
Information Technology • Other
The Role
Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.
Summary Generated by Built In

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.

Skills Required

  • PhD, Master’s, or Bachelor’s degree in CS, EE, ML, AI, Statistics, Mathematics, or related field
  • Solid foundation in machine learning, deep learning, and statistical modeling
  • Hands-on experience building and training models with PyTorch, TensorFlow, JAX, or similar frameworks
  • Track record of translating research into working prototypes, systems, or shipped product features
  • Experience in one or more areas: computer vision, natural language processing, speech/audio processing, generative models, multimodal learning, recommendation systems, or model optimization
  • Strong software engineering skills in Python
  • Familiarity with C++, CUDA, or on-device inference frameworks
  • Comfortable with large-scale datasets, distributed training, model evaluation, and MLOps tooling
  • Excellent problem-solving, communication, and collaboration skills in cross-functional environments
  • Research contributions via publications, patents, or open-source projects
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The Company
HQ: Shenzhen
1,770 Employees
Year Founded: 1987

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.

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