Job Details
Fundamental Research Scientist
Operations
Job Description
Job Title: Fundamental Research Scientist
Company: Canva
Location: Beijing, China (Hybrid)
Type: Full-time (Also open to 2025/2026 graduates & internships)
About the Role
Canva is building the future of design with powerful AI. As a Fundamental Research Scientist, you will work on advanced AI research to improve generative models in areas like images, video, and 3D. You’ll experiment with cutting-edge techniques and help turn research into real features used by millions of Canva users.
This role is open to all experience levels — including experienced professionals, upcoming graduates (2025/2026), and interns.
Key Responsibilities
- Research Direction: Lead and define research plans focused on the latest multimodal AI developments.
- Experimentation: Design and run experiments using high-end GPUs to test ideas.
- Data & Analysis: Analyze results to improve model performance and quality.
- Model Development: Create and train new generative model architectures (e.g., diffusion, autoregressive), reinforcement learning techniques, and synthetic data pipelines.
You’re a Strong Candidate If You Have
- Experience building and training large-scale text-to-image, video, or 3D generation models (e.g., diffusion or autoregressive models).
- A strong academic or research background with publications in top conferences like CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR.
- Hands-on experience with large-scale distributed training across hundreds of GPUs.
- Expertise in Python, PyTorch, Diffusers, Transformers, Megatron, DeepSpeed, and cloud computing platforms.
- Ability to share knowledge internally and externally through documentation, collaboration, papers, or talks.
- Passion and curiosity for AI trends and emerging technologies.
Why Join Canva?
- You’ll work with top-tier AI researchers using world-class tools.
- Your work will directly impact hundreds of millions of users.
- You'll be part of a growing, global team with access to high-end compute resources.
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