Research Scientist - Efficient AI

About the Role

Join our core Generative AI team to invent foundational technologies that power the future of AI-assisted design. You will advance the frontier of efficient, large-scale models and translate research breakthroughs into impactful features used by millions of creators globally.

Responsibilities

• Design and advance state-of-the-art generative AI models across multimodal domains.
• Improve AI efficiency through kernel and graph optimization, model compilation, and systems optimization.
• Implement model compression techniques such as quantization and distillation to enhance performance.
• Collaborate cross-functionally with research, engineering, and product teams to deploy innovations into production.
• Contribute to the broader AI community through publications at top-tier conferences.

Requirements

• Strong expertise in foundation models, specifically in generative AI (e.g., LLMs, VLMs, diffusion models).
• Proven experience in AI efficiency, including low-level optimization, model compression, and efficient architecture design.
• Strong academic or industry track record with publications in leading conferences like NeurIPS, ICML, ICLR, or CVPR.
• Proficiency in Python, PyTorch, and deep learning frameworks such as Transformers, Diffusers, Megatron, or DeepSpeed.
• Excellent communication skills and the ability to collaborate effectively across diverse teams.

About the Team

We are the CORE team within Canva's Generative AI supergroup, responsible for building the technical engine that powers creative intelligence. We work globally to ship research that makes a real-world impact at massive scale, from smart editing to advanced AI video tools.