AI大模型算法｜LLM/VLM Pre-training

What you’ll do Define and lead research initiatives in LLM / VLM pre-training and multimodal generation, informed by frontier research and product needs. Design and run large-scale training experiments, analyze results, and improve model capabilities, training efficiency, and stability. Explore model architectures, training methods, post-training and reinforcement learning algorithms, and high-quality synthetic data pipelines. Collaborate across teams to bring models into production and share findings through technical documentation, publications, and presentations.

Core pre-training expertise gained on teams such as Qwen, Kimi, GLM, or DeepSeek . Experience with autoregressive or diffusion models for text-to-image, video, or 3D generation. Deep expertise in multimodal architectures, pre-training data, reinforcement learning, or synthetic data.

Join Canva’s Beijing AI team to develop frontier language and multimodal generative models using high-performance GPU clusters and high-quality datasets. You’ll collaborate with research, engineering, and product teams to bring research advances into products that empower hundreds of millions of users.