Company Description

About the Group/Team

At Canva, we're building a future powered by AI that's as magical as it is impactful. As a Research Scientist for AI Efficiency at Canva, you'll be responsible for advancing the future of AI by experimenting with cutting-edge techniques, as well as improving models for real-world quality and performance.

Job Description

About the Role

Canva is searching for outstanding AI Researchers to join the AI Efficiency team in Canva. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, for design generation, video generation, and more. We focus on pushing the boundary of creating AI models that are not only powerful, bot also computationally efficient. You will be part of this amazing team that tackles AI efficiency from low-level kernel optimization to high-level model distillations, from novel model architecture exploration to creating efficient inference systems. Your contributions will create real impact to Canva’s core products, used by hundreds of millions of active users.

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

Qualifications

What we're looking for

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

Additional Information

该岗位现面向所有经验阶段的候选人开放，包括社会招聘、2026年及2027年应届毕业生，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, 2026 and 2027 graduates, as well as internship opportunities. The role is based in Beijing. We welcome your application and look forward to having you on board!