Join the team redefining how the world experiences design.
Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.
What you’d be doing in this role
* Improve and streamline the process of reviewing third-party apps through automation and AI-driven solutions.
* Develop machine learning automation to analyse source code and UI, ensuring submissions adhere to design guidelines, accessibility standards, and security practices.
* Leverage computer vision, screenshot analysis, and HTML parsing to evaluate UI elements and provide actionable feedback on UX best practices.
* Experiment with cutting-edge ML, LLM, and NLP techniques to improve the accuracy and effectiveness of automated reviews.
* Build intelligent recommendation systems that guide developers in refining their submissions, reducing friction in the review process.
* Optimise and integrate AI solutions into existing review workflows, enhancing internal tools and the developer submission pipeline.
* Collaborate closely with engineering and UX teams to ensure AI-driven recommendations align with product goals and user experience standards.
You're probably a match if
* You have experience applying machine learning to automate complex review processes—especially in areas like code analysis, UI evaluation, or security compliance.
* You’re skilled in computer vision and screen analysis—you know how to extract meaningful insights from UI layouts and interfaces.
* You have experience working with Large Language Models (LLMs)—whether through external APIs or open-source models—to enhance automation, recommendations, or intelligent feedback systems.
* You can build intelligent recommendation systems—helping developers proactively improve their submissions and streamline the review process.
* You’re proficient in Python and familiar with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
* You thrive in cross-functional teams—collaborating with engineers, UX designers, and product managers to shape AI-powered workflows.
* You enjoy solving real-world challenges—optimizing review processes and reducing developer friction through automation.
About the team
We aim to build the world’s richest Ecosystem of apps and integrations for visual design and communications that supercharge Canva’s ability to meet the diverse needs of a billion users and drive Canva’s MAU growth.
As the first Senior Machine Learning Engineer in the Supergroup, you’ll play a vital role in driving our engineering strategy—ensuring we deliver secure and reliable products while managing trade-offs on the path to achieving our goals. This group's customers are developers, which means you will have the ability to bring your insights and an engineering mindset into our product roadmap.
Other stuff to know
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
We celebrate all types of skills and backgrounds at Canva, so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!
Please note that interviews are conducted virtually.
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