Machine Learning Engineer Intern 202627
Job Summary
Join the team changing how the world designs - billions of times over.
Hey you. Yes you. Ready to do the best work of your life
Our internship is a 12-week remote friendly program running from early December to late February. Its designed to give you meaningful experience real ownership and a summer that sets you up for whats next. Youll also have the opportunity to join your team in person at our flagship campus in Sydney to experience the magic of Canva.
As an intern you wont be on the sidelines. Youll work on impactful real-life projects from day one alongside your team. Youll be supported by a dedicated Host and Buddy there to help you learn grow and navigate your Canva Internship journey with confidence.
Where and how youll 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.
Whether you prefer to work from home join us in person (if youre nearby) or a mix of both youll have the flexibility to work in a way that supports you and your team.
What youll be working on
As Canva continues to grow change is part of how we move forward. That means the role you step into today will likely evolve right alongside you.
Youll start by focusing 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.
Youll thrive in this role if
You are currently enrolled and completing your studies between 2027 and mid-2028.
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 2026 to late February 2027.
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.
We are welcoming applications for the Machine Learning Engineer Internship until 1st May 2026 only.
Following this advertisement closure date successful applicants will be reached out to directly to proceed to the next step of our Canva Early Talent hiring process.
Here at Canva we endeavour to respond to every applicant regardless of the outcome should you not be successful we will respond to your application within 5 working days after the job closure date.
Meet the team
Machine Learning Engineers deliver value to Canvas users by designing building and maintaining complex systems to apply statistics and machine learning at scale and multiplying manual effort with data intelligence. This includes making it easy for users to discover over 75M templates photos videos and elements; messaging marketing and building engagement with users; and making it easier for users to design.
But dont just take our word for it. Heres some advice from past Intern Veronika Sevastyanova about interning at Canva.
You will make mistakes and thats ok. If you never mess up you wont grow.
Why youll love it here
Were on a mission to empower the world to design and were having fun doing it. Think work that motivates you moments that surprise you and an energy that inspires you to do the best work of your life.
Heres a peek into what we offer:
The opportunity to work on a real-life and impactful project from start to finish
Mentorship from experienced Canvanauts
Budget to bring your own Intern-led social events to life throughout the program
A campus week in Sydney where youll get to meet your team in person and experience the Canva magic
Discover more at we think about AI
AI is an accelerant to our mission to empower the world to design. So were embracing AI to supercharge how we work - harnessing AI as a powerful tool to help us spark ideas streamline work and unlock creativity.
And because were always curious to learn how people are using new technologies to amplify impact you can also expect questions about your experience with and ideas about AI during the interview process.
How we hire
Our hiring process is designed to help us get to know you and for you to get to know us too.
We make hiring decisions based on your skills experience and passion as well as how you can enhance Canva and our culture. So even if you think you dont quite match whats listed above wed still love to hear from you.
When you apply please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
Once applications close well be in touch with shortlisted candidates to progress to the next stage of our Early Talent hiring process. If were not moving forward together this time you can expect to hear from us within 30 working days of applying.
Please note that for Intern roles at Canva youll need full working rights in Australia or New Zealand and that all interviews are conducted virtually.
Remote Work :
Yes
Employment Type :
Full-time
About Company
We're a global online visual communications platform on a mission to empower the world to design. Featuring a simple drag-and-drop user interface and a vast range of templates ranging from presentations, documents, websites, social media graphics, posters, apparel to videos, plus a hu ... View more