Senior Machine Learning Engineer

Summary

Join Canva's Product Enablement Team and redefine how the world experiences design. Based in Sydney with options for remote work, you will focus on evaluating, integrating, and improving local AI models and services in China. Lead the fine-tuning and prompt engineering of models using localized datasets. Build robust data pipelines and model-serving infrastructure. Collaborate with global and local teams to ensure alignment with user needs and regulations. Design and execute evaluation and experimentation strategies. Contribute to roadmap planning and technical decision-making. Mentor engineers and promote best practices in machine learning.

Requirements

• You have solid experience in ML/software engineering, preferably within Product/SaaS
• You possess proven experience in designing and deploying production-ready ML systems, including LLMs, search, recommendation, or generative AI
• You have strong coding and software engineering skills in Python (and optionally Java), with hands-on experience using ML frameworks like PyTorch, TensorFlow, Hugging Face, or similar
• You have a solid understanding of modern ML practices, including fine-tuning, prompt engineering, data curation, model evaluation, and experimentation
• You demonstrate strong communication and collaboration skills, capable of working across global teams, legal and privacy stakeholders, and local vendors

Responsibilities

• Evaluating, integrating, and improving local AI models and services (e.g., LLMs, image/video generation models, Rec System) to align with Canva’s product needs in China
• Leading fine-tuning and prompt engineering of models using localized datasets and usage signals
• Building robust data pipelines and model-serving infrastructure to support scalable deployment of AI systems in a region-compliant environment
• Collaborating with global and local teams across ML, product, infra, legal, and compliance to ensure alignment with user needs and local regulations
• Designing and executing rigorous offline evaluation and online experimentation strategies for model performance and user impact
• Contributing to roadmap planning, prioritization, and technical decision-making within the Product Enablement and broader AI teams
• Mentoring engineers and promoting best practices in machine learning and model operations

Preferred Qualifications

• You have experience with cloud platforms and ML model infrastructure, such as containerization, GPU serving, and monitoring, which is a bonus
• You have a product mindset and an eagerness to solve real user problems with AI solutions
• You are highly preferred if you have experience working with or evaluating Chinese AI models, vendors, or datasets

Benefits

• Equity packages — we want our success to be yours too
• Inclusive parental leave policy that supports all parents & carers
• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
• Flexible leave options that empower you to be a force for good, take time to recharge and support you personally