Research Scientist - Efficient AI (高性能大模型）

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. At the moment, this role is focused on: Designing and advancing state-of-the-art generative AI models across multimodal domains Improving AI efficiency across the stack, including: Kernel and graph optimization Model compilation and systems optimization Model compression techniques (quantization, distillation) Efficient model architecture design Scalable inference systems Collaborating cross-functionally with research, engineering, and product teams to bring innovations into production Translating research breakthroughs into impactful features within Canva’s core products Contributing to the broader AI community through publications at top-tier conferences

You’re probably a match if you have: You have strong expertise in foundation models, particularly in generative AI (e.g., diffusion models, LLMs, VLMs) You bring experience in AI efficiency, such as: Low-level optimization (kernel/graph) Model optimization (quantization, distillation, compression) Efficient architecture design and inference systems You have a strong academic and/or industry track record, including publications in leading conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or meaningful open-source contributions You’re proficient in tools such as Python, PyTorch, Transformers, Diffusers, Megatron, DeepSpeed, and cloud platforms You’re a clear communicator who can collaborate effectively across teams

该岗位现面向所有经验阶段的候选人开放，包括社会招聘、应届毕业生，同时开放实习生岗位。工作地点为北京。欢迎申请，期待你的加入！ Notice: This position is open to candidates at all experience levels, including experienced candidates, graduates, as well as internship opportunities. The role is based in Beijing. We welcome your application and look forward to having you on board!