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 modern 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 in Markham employer: Huawei Technologies Canada Co., Ltd.
At Huawei Canada, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of optical communications. Our multicultural work environment encourages mentorship and professional growth, providing employees with unique opportunities to engage in cutting-edge projects while developing their skills. With a commitment to employee well-being and a focus on transformative technology, Huawei Canada is the ideal place for those looking to make a meaningful impact in the industry.
Contact Details:
Huawei Technologies Canada Co., Ltd. Recruitment Team
