Canva
Computer Software
ResearchScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Research Scientist at Canva. Skills: Foundational large-scale models, Generative model architectures, RL algorithms, Synthetic data generation. Advance the future of AI. Experiment with cutting-edge techniques”
What You'll Achieve.
Improve models for real-world quality; Improve models for real-world performance; Bring best AI models to users
Industry & Context.
Translating experimental results into actionable insights
What They're Looking For.
Must Have
Python, PyTorch, Diffusers, Transformers, Megatron, DeepSpeed
Nice to Have
CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR
What You'll Do.
Advance the future of AI
Experiment with cutting-edge techniques
Improve models for quality
Pre-training frontier models
Post-training frontier models
Determine research initiatives
Lead research initiatives
Interpret experimental results
Translate results into insights
Create novel model architectures
Create novel training methodologies
Create novel RL algorithms
Create novel synthetic data pipelines
How You'll Work.
Team & Collaboration
Coordinate with talented individuals; Share knowledge internally; Cross-team collaborations
Communication Scope
Share knowledge internally; Cross-team collaborations; Research papers; Talks
Full Job Description
该岗位现面向所有经验阶段的候选人开放,包括社会招聘、2025年及2026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, 2025 and 2026 graduates, as well as internship opportunities. The role is based in Beijing. We welcome your application and look forward to having you on board! At Canva, we're building a future powered by AI that's as magical as it is impactful. As a Research Scientist 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. About the role: You will be able to reshape the landscape of frontier AI research directions by pre-training/post-training frontier multi-modal generation models with high-end GPUs on large, high-quality datasets. You will be able to coordinate with talented individuals with deep domain expertise and great passion. You will have the opportunity to redefine how AI revolutionizes productivity softwares by bringing the best AI models to hundreds of millions of active users. At the moment, this role is focused on: * Research Direction: Determining and leading research initiatives aligned with the tend of frontier multimodal AI research and product goals * Research and Experimentation: Designing and running experiments to validate hypotheses on the high-end GPUs * Analysis: Interpreting experimental results and translating them into actionable insights * Model Innovation: Creating novel generative model architectures, training methodologies, RL algorithms, novel synthetic data generation pipeline. ## Qualifications You’re probably a match if you have: * Rich experience in the development, training, and iteration of foundational large-scale text-to-image/video/3D generation models (diffusion models or auto-regressive models) based on both internal research and external advancements, such as emerging trends, technologies, and open challenges * Strong academi
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