Machine Learning Engineer International SG
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
About the Group/Team
Youll join the Product Enablement Team part of the International Supergroup which is focused on accelerating Canvas 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
Were looking for a Senior Machine Learning Engineer (MLE) with strong backend and applied ML experience ideally in generative AI search or recommendation systems. Youll work at the intersection of AI research and product delivery owning the development deployment and iteration of models that shape the user journey. Youll also play a key role in improving the training data pipeline online experimentation and integration with global systems.
What youll do (responsibilities)
- Work with local AI models and services (e.g. LLMs image/video generation models Rec Systems) to support Canvas 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.
Qualifications :
What were looking for
- 13 years of ML or software engineering experience (internships and academic projects count).
- Familiarity with at least one area of production ML such as LLMs search recommendation or generative AI.
- Solid coding skills in Python with hands-on experience using ML frameworks like PyTorch TensorFlow Hugging Face or similar.
- Exposure to or interest in Chinese AI models vendors or datasets is a plus.
- Foundational understanding of modern ML practices including fine-tuning prompt engineering data processing and model evaluation.
- Good communication and collaboration skills comfortable working across distributed teams and asking the right questions.
- Some experience with cloud platforms or ML infrastructure (e.g. containerization GPU serving) is a bonus.
- A product mindset and curiosity about solving real user problems with AI.
Additional Information :
What the candidate will learn and
how will they develop at Canva
- Deepen your experience building agentic conversational AI systems
- Drive high-impact initiatives that directly support Canvas 1B user mission
- Mentor across the ML community and grow your cross-functional influence
- Shape Canvas future in ML-powered user interaction and automation
Remote Work :
No
Employment Type :
Full-time
Key Skills
About Company
We're a global online visual communications platform on a mission to empower the world to design. Featuring a simple drag-and-drop user interface and a vast range of templates ranging from presentations, documents, websites, social media graphics, posters, apparel to videos, plus a hu ... View more
