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LLM Agent Research Scientist 大模型智能体研究科学家

Canva·Worldwide·Beijing, CN·mid
llm
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At Canva, we're building a future powered by AI that's as magical as it is impactful. As an LLM Agent Research Scientist at Canva, you'll advance the frontier of agentic AI—building autonomous systems that can reason, plan, use tools, and act on behalf of hundreds of millions of users. You'll explore the boundaries of what agents can achieve in real-world productivity and creative scenarios, and bring that research into Canva's core product experiences—across design, presentations, documents, spreadsheets, video, and other multimodal creation and collaboration workflows. About the Group/Team We're the CORE team within the Generative AI supergroup. Our mission is to invent foundational technologies that will power the future of AI-assisted design. From large-scale models to groundbreaking research, our team builds the technical core of Canva's creative intelligence engine. We collaborate globally to ship research that makes a real impact—from smart editing to AI video tools—at massive scale. About the Role As an LLM Agent Research Scientist, you'll define and lead research that pushes the limits of what LLM-powered agents can do. You'll design agent architectures, reasoning and planning methods, tool-use and multi-agent frameworks, and the post-training recipes (including RL) that make agents capable and dependable. You'll also train models with high-end GPUs on large, high-quality datasets. You'll sit at the intersection of frontier research and product, directly shaping how LLM agents transform the way people create and get work done in Canva. 作为大模型智能体研究科学家,你将定义并主导不断突破智能体能力上限的研究。你将设计智能体架构、推理与规划方法、工具调用与多智能体框架,以及让智能体更强大、更可靠的后训练方案(包括 RL)。你也会在大规模、高质量的数据集上,用高端 GPU 训练模型。你将处在前沿研究与产品的交汇点,直接影响大模型智能体如何改变人们在 Canva 上创作与工作的方式。 At the moment, this role is focused on Research Direction: Determining and leading agent research initiatives aligned with the frontier of LLM/agent research and Canva's product goals. Model Innovation: Creating novel agent capabilities through post-train

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