Advance diffusion-based language models at Huawei Canada as a Senior Researcher, developing generative modeling methods for text and possibly multimodal applications.
Within Huawei Canada’s Noah’s Ark lab, this permanent position advances artificial intelligence through impactful research and product-focused innovation. You will investigate non-autoregressive architectures, diffusion objectives, hybrid transformer-diffusion models, and scalable large language model systems. The work also covers controllability, efficiency, evaluation, and post-training.
Key Responsibilities: Propose novel diffusion language model research ideas
Design non-autoregressive and hybrid diffusion architectures
Run experiments and debug large-scale training pipelines




Analyze results and communicate findings clearly
Publish research and contribute to open-source projects
Requirements: Ph.D. in a relevant quantitative or computing field
First-author publications in top-tier machine learning venues
Deep understanding of diffusion and generative modeling
Python and PyTorch expertise with distributed training
Experience with up-to-date LLM and diffusion stacks
Use diffusion modeling, LLM architectures, and large-scale experimentation to advance Huawei Canada’s artificial intelligence research.

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📌 Senior Diffusion Language Model Researcher (Ontario)
🏢 Huawei Technologies Canada Co.
📍 Ontario