AI大模型算法｜LLM/VLM Pre-training
Summary
Canva is seeking an AI researcher to lead LLM/VLM pre-training and multimodal generation initiatives. This role involves designing and running large-scale training experiments, exploring model architectures, and bringing models into production.
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.