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.

📌 Senior Diffusion Language Model Researcher (Markham)
🏢 Huawei Canada
📍 Markham