• Collaborating with your assigned team to design, develop, test and maintain your intern project • Developing and maintaining documentation for software development processes, procedures, and guidelines • Developing your craft with some of the most talented engineers • Interacting with a wide variety of stakeholders from both inside and outside your team to deliver high-quality work in a fast-paced environment.

• Research, develop and deploy AI based solutions to automate content moderation and review of Canva’s content • Work with diverse stakeholders to guide the technical vision while being responsible for break-down and delivery of large projects • Design, develop and deploy solutions and hands-on software development – working closely with leads, designers, and product managers • Foster an impactful and healthy team via a healthy code review culture, knowledge sharing, design showcases, and process improvements • Promote a safe and healthy culture with a focus on collaboration and open communication while advocating for engineering needs to non-technical stakeholders within the group • Staying updated on industry trends and best practices to innovate and improve the domain owned by the team.

• You’ll design and build scalable evaluation systems for machine learning models, including generative AI • You’ll collaborate with cross-functional teams to integrate evaluation into the ML lifecycle • You’ll improve experimentation velocity by enabling reliable and automated evaluation workflows • You’ll contribute to technical design discussions and help shape the team’s direction • You’ll identify opportunities to improve systems, tooling, and processes across the AI Platform • You’ll mentor peers and contribute to a strong engineering culture

• Owning the end-to-end ML lifecycle from problem framing through to production deployment and iteration • Work closely with product managers, product designers, backend engineers, and platform teams to build ML-powered features that make Brand Templates more discoverable, more relevant, and more intelligent • Developing ranking and recommendation models that identify high-performing team designs and suggest them as candidates for conversion into Brand Templates • Building brandification pipelines at scale — automatically transforming marketplace templates to conform to an organisation's brand guidelines (colours, fonts, logos, imagery style) • Building layout extraction and understanding systems that parse Canva's design format (CDF) to identify structural patterns, element relationships, and design intent — enabling downstream on-brand design generation • Designing and productionising LLM-based pipelines for generating structured metadata (intent descriptions, content classifications) across large volumes of brand templates • Running experiments (offline and online) to validate model effectiveness and measure impact on user outcomes • Collaborating with the Templates Platform team and cross-functional partners to define data contracts, APIs, and integration patterns for ML features • Contributing to the broader Brand System AI vision — exploring how ML can reason about brand guidelines, design constraints, and content structure to assist enterprise users • Establishing ML best practices within the team: experiment tracking, model evaluation frameworks, monitoring, and documentation