Machine Learning Engineer - International SG job opportunity at Canva.

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Date2026-03-25T06:16:10.196Z bot
Canva Machine Learning Engineer - International SG
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Beijing, China
loacation Beijing....China
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Job DescriptionAbout the Group/Team You’ll join the Product Enablement Team, part of the International Supergroup, which is focused on accelerating Canva’s growth and feature adoption in priority international markets. The team partners closely with Global AI, Search, and Recommendations teams to bring cutting-edge capabilities to local markets with the right technical customizations and data insights.In particular, this role will focus on enhancing Search and Recommendation and AI Magic experiences in China, adapting algorithms to local content trends, user behaviors, and regulatory requirements. The team works on local model fine-tuning, data signal enhancements, and experimentation to deliver measurable impact. About the Role/Specialty We’re looking for a Senior Machine Learning Engineer (MLE) with strong backend and applied ML experience, ideally in generative AI, search or recommendation systems. You’ll work at the intersection of AI research and product delivery — owning the development, deployment, and iteration of models that shape the user journey. You’ll also play a key role in improving the training data pipeline, online experimentation, and integration with global systems. What you’ll do (responsibilities)Work with local AI models and services (e.g., LLMs, image/video generation models, Rec Systems) to support Canva's product needs in China, with guidance from senior engineers.Assist in fine-tuning and prompt engineering of models using localized datasets and usage signals.Build and maintain data pipelines and model-serving components that support scalable, region-compliant deployment of AI systems.Collaborate with global and local teams across ML, product, infra, legal, and compliance to deliver on project goals.Run offline evaluations and support online experimentation to measure model performance and user impact.Contribute to technical discussions and share learnings with the Product Enablement and broader AI teams.

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