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 are currently enrolled and completing your studies between 2027 and mid-2028.
You are based in Australia or New Zealand and have working rights.
Excellent Computing and Object-Oriented Programming (OOP) Fundamentals.
Comfortable working in Python.
Ability to conceive and translate statistical or machine learning models to practical, scalable solutions.
Passion to learn and grow as a technologist.
Excited to explore AI tools and use them in smart, helpful ways to boost your workflow.
Ability to commit to the 12-week, full-time summer program from early December 2026 to late February 2027.
Experience building and deploying machine learning models (awesome if you have this).
Experience with data platforms (e.g. Spark and Hadoop) (awesome if you have this).
Experience with machine learning frameworks (e.g. Scikit learn, TensorFlow, PyTorch) (awesome if you have this).
Experience with interactive notebooks for exploration of data and initial prototyping (awesome if you have this).

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 you'll get to meet your team in person and experience the Canva magic

Machine Learning Engineer Intern

Key skills