CanvaAI Research Scientist 大模型研究科学家
Canva is hiring an AI Research Scientist 大模型研究科学家 in Beijing, China. Level rates it ; you can apply on Canva.
Level's read on this job
- Level rates this research scientist role Builds AI ●●●●: the job is building AI systems.
- The posting mentions PyTorch, Python and Diffusers among its tools and skills.
- Canva has 96 other open roles on Level.
AI in this role
AI Research Scientist to pre-train and optimize frontier multi-modal generative models at Canva.
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!
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.
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 academic and professional track record, including peer-reviewed publications in top-tier conferences like CVPR/ICCV/ECCV/NeurIPS/ICML/ICLR and open-source contributions
Rich experience in large-scale parallel model pre-training across hundreds of GPUs
Proficiency in Python, PyTorch, Diffusers, Transformers, Megatron, DeepSpeed, and cloud computing platforms, ensuring efficient model training and deployment
Ability to share your knowledge internally through documentation and cross-team collaborations, and externally through research papers or talks where appropriate
Curiosity! Always looking to stay ahead of industry trends by tracking AI literature, competitors, and emerging technologies
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!
How we rate this
AI Research Scientist 大模型研究科学家 at Canva rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in research scientist jobs at this level
Pay
- Typical research scientist job
- $191k
This posting doesn't list pay. Use the typical research scientist figure when pay comes up. See research scientist jobs
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where multimodal models was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where model training was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Deep learning, Multimodal Models, Generative AI, and Model Training. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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