Machine Learning Engineer Intern

Canva

Machine Learning Engineer Intern

To empower everyone in the world to design anything and publish anywhere

Why Canva
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Launched in 2013, Canva is an online design and visual communication platform with a mission to empower everyone in the world to design anything and publish anywhere.

About the role
Job Description

Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! We’re looking for the next generation of Canvanauts!

Canva’s 12-week, remote-friendly program runs from early December to late February, giving you the chance to work on meaningful, real-life projects from start to finish. You’ll also have the opportunity to visit our campus and experience the magic of Canva in person—consider your summer sorted. Throughout the internship, you'll be supported by a dedicated Host and Buddy—your go-to people for guidance, support, and all the inside scoop on life at Canva. You’ll be part of a welcoming and inclusive Early Talent community of peers that take pride in Canva’s culture of being good humans and empowering each other to achieve our big goals. Ready to kickstart your journey with us? We’d love to meet you.

Where and how you can work Our flagship campus is in Sydney, Australia. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. If you call New Zealand home, we have our Auckland co-working space too. But where you work is up to you. Whether you’re keen on office vibes, prefer the comfort of home, or like a bit of both—we support flexible working, so you can do your best work, your way.

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:

• 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.

You're probably a match if

• You are currently enrolled and completing your studies between 2026 and mid-2027.
• You are based in Australia or New Zealand and have working rights. Please note that Canva will not be able to sponsor visas and relocate for Early Talent roles.
• You have excellent Computing and Object-Oriented Programming (OOP) Fundamentals.
• You are comfortable working in Python.
• You have the ability to conceive and translate statistical or machine learning models to practical, scalable solutions.
• You have the passion to learn and grow as a technologist.
• You are excited to explore AI tools and use them in smart, helpful ways to boost your workflow.
• You are able to commit to the 12-week, full-time summer program from early December 2025 to late February 2026.

It would be awesome if you also have:

• Experience building and deploying machine learning models.
• Experience with data platforms (e.g. Spark and Hadoop).
• Experience with machine learning frameworks (e.g. Scikit learn, TensorFlow, PyTorch).
• Experience with interactive notebooks for exploration of data and initial prototyping.

What you'll be responsible for

• 🔦

  Testing and QA

  Ensure high quality work by testing code meets the requirements

• 📦

  Backend application development

  Develop, test, and maintain software applications

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  Frontend Application Development

  Develop, test, and maintain the user-side elements of a website or app

Skills you'll need

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  Collaboration

  Works with others by being open, clear in communication and listening to achieve goals

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  Numerical problem solving

  Works with numerical information and performs mathematical calculations to solve problems

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  Attention to detail

  Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables