Machine Learning Engineer - Ecosystem Experiences

Join the team redefining how the world experiences design.
Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!
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.

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work—we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.

What you’d be doing in this role

As Canva scales, change continues to be part of our DNA. But we like to think that’s all part of the fun. So this will give you the flavour of the type of things you’ll be working on when you start, but this will likely evolve.

At the moment, this role is focused on:

• Improving and streamlining the process of reviewing third-party apps through automation and AI-driven solutions
• Developing machine learning systems to analyse source code and UI for compliance with design guidelines, accessibility standards, and security practices
• Leveraging computer vision, screenshot analysis, and HTML parsing to evaluate UI elements and provide actionable UX feedback
• Experimenting with cutting-edge ML, LLM, and NLP techniques to boost the accuracy and effectiveness of automated reviews
• Building intelligent recommendation systems to guide developers in refining their submissions and reducing friction
• Integrating AI solutions into existing review workflows, enhancing internal tools and streamlining the developer submission pipeline
• Collaborating with engineering and UX teams to ensure AI-driven recommendations align with product goals and deliver great user experiences

You’re probably a match if

• You’ve applied machine learning to automate complex review processes, especially involving code, UI, or compliance
• You’re skilled in computer vision and screen analysis, and know how to extract insights from UI layouts
• You have experience using Large Language Models (LLMs) to enhance automation and intelligent systems
• You know how to build recommendation systems that proactively assist developers
• You’re proficient in Python and ML frameworks like PyTorch, TensorFlow, or scikit-learn
• You thrive in cross-functional teams and enjoy collaborating with engineers, UX designers, and PMs
• You love solving real-world challenges by reducing friction and creating smart workflows through automation

About the team

The Ecosystem Supergroup is on a mission to build the world’s richest ecosystem of apps and integrations that supercharge Canva’s ability to meet the diverse needs of a billion users—and drive our MAU growth. With innovations in generative AI and the rise of complex design workflows in large organisations, we’re perfectly placed to become the platform of choice for visual design-related services.

The Ecosystem Experiences group builds our App Marketplace, Developer Portal, and SDKs—including tooling, starter kits, documentation, and more. As a Machine Learning Engineer in this team, you’ll directly shape how developers interact with Canva, leveraging AI to simplify, streamline and elevate their integration journey.

But don’t just take our word for it—Software Engineer Abbie Wade says it best:

“The challenges that I am solving do not have a known solution, which means I get to create and innovate each day.”

What’s in it for you?

Achieving our crazy big goals motivates us to work hard—but you’ll experience lots of moments of magic, connection, and fun woven throughout life at Canva too. We also offer a range of benefits to support your success inside and outside of work:
• Equity packages—we want our success to be yours too
• Inclusive parental leave that supports all parents and carers
• An annual Vibe & Thrive allowance to support your wellbeing, home office, and more
• Flexible leave options that empower you to recharge, give back, or just take a break

Check out lifeatcanva.com for more info.

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 share the pronouns you use and let us know any reasonable adjustments you may need during the interview process.

We celebrate all types of backgrounds and skills at Canva, so even if you don’t feel you tick every box—we’d still love to hear from you!

Please note that interviews are conducted virtually.