Senior Researcher - Diffusion-Based Large Language Models
fulltime_permanent experiencedJob Overview
Huawei Canada has an immediate permanent opening for a Senior Researcher.
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Propose and develop novel research ideas to advance the state of the art in diffusion-based language models and generative modeling for text (and possibly multimodal).
Design and study non-autoregressive and diffusion-style architectures for LLMs, including discrete/continuous diffusion, denoising objectives, and hybrid transformer–diffusion models.
Participate in applied research projects focused on: scaling diffusion LLMs to long context, improving sample quality and controllability, and reducing inference latency and compute costs.
Deliver end-to-end projects: design and run experiments, implement and debug large-scale training pipelines, analyze results, and clearly communicate findings to both technical and non-technical stakeholders.
Collaborate with data and infra teams on data curation, evaluation, and post-training for diffusion LLMs (e.g., fine-tuning, RLHF/feedback, safety, and robustness).
Publish research in top-tier machine learning and NLP venues and contribute to open-source libraries, benchmarks, or model releases where appropriate.
(If Senior) Supervise and mentor a small group of researchers and engineers to deliver projects and publish conference papers.
Track advances across diffusion models, LLMs, and the broader AI ecosystem, and translate new developments into actionable research directions for the team.
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