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As a Senior Machine Learning Engineer, you will develop and deploy AI solutions for content moderation and collaborate cross-functionally to guide projects at Canva.

As a Senior Machine Learning Engineer, you'll provide solution expertise in ML domains, assist product teams, optimize implementations, and develop strategies to accelerate AI capabilities across Canva.

The Head of Product for Print leads strategy and execution for Canva's Print business, focusing on product development and partnerships to scale operations and enhance user experience.

The Senior Software Engineer will design and operate Kubernetes infrastructure, manage automation for cluster lifecycle, optimize performance, and support infrastructure tooling for Canvas services across cloud providers.

The Senior Software Engineer will build APIs and tools, improve production systems, reduce technical debt, mentor others, and work on both backend and frontend code.

In this role, you'll influence strategic decisions through data, design A/B tests, build models and dashboards, and communicate findings effectively across teams.

As a Senior Software Engineer at Canva, you'll design and develop scalable backend services, collaborate on product features, mentor peers, and ensure system performance and reliability while writing high-quality code.

Create scalable, editable print designs and templates for marketing collateral; prepare print-ready files (bleed, trim, CMYK), perform pre-flight checks, and contribute to print design systems. Use design tools and generative AI to accelerate workflows, collaborate with cross-functional stakeholders, ensure quality and consistency, and publish reusable docs and playbooks.

Lead and define Canva's Production Engineering practice: embed with product teams to solve the hardest reliability problems, shape engagement models, set technical standards, lead complex systems work (sharding, multi-region, JVM performance), grow team capability, influence product readiness, and build measurement for reliability and launch success.

Lead development and delivery of ML-powered ad-generation features: design scalable ML pipelines, collaborate with product and design, run experiments, deploy and monitor models, contribute to shared ML infrastructure and best practices, and apply generative AI techniques at scale.