We’re constantly working towards making Canva the best place to work, for everyone. We believe deeply that bringing together diversity of thoughts, perspectives and expression is key for building the best product for our equally diverse community all around the world. We celebrate uniqueness and whatever makes you, you and encourage everyone who wants to help us transform the way the world designs, to join us on this journey. We value all different types of experiences. If you don’t think you quite meet all of the qualifications, we’d still love to hear from you.
About Us
At Canva, our mission is to democratise design and empower creativity for anyone and everyone, on every platform. Inspired by a team of talented thinkers, an amazing culture and a remarkable growth trajectory – we’re out to change the world, one design at a time.
Since launch in August 2013, we have grown exponentially, amassing over 60 million monthly active users across 190 different countries who have created more than 6 Billion designs. We are one of the world’s fastest-growing technology companies and we have only achieved about 1% of what we want to do.
Embedded Product Team
The Machine Learning Engineering specialty is engaged in delivering value to Canva’s users, by designing, building and maintaining complex production systems to apply statistics and machine learning at scale. We're building a highly personalised Canva; developing and productionising user modelling that directly drives product features and targeting messaging and marketing; making it easy for users to discover over 100M+ templates, photos, videos and elements; applying ML to label and transform a vast number and variety of images; and leveraging our unique design data to empower users to design.
We're looking to grow the team to continue to scale the impact of machine learning across Canva. You'll be joining a fast moving cross-functional team, rapidly building and shipping machine learning-driven features to users and staff.
Central Platform Team (MLOps / MLInfra)
The ML Engineers working on the platform team are responsible for delivery of machine learning at scale. Our systems, frameworks and processes are used daily by ML Engineers to train, validate, deploy and monitor online inference services. We are building a platform that follows engineering best-practices and shortens the loop between early exploratory work in notebooks and shipping reliable models to production. Our platform is built using the latest technologies and cloud infrastructure.
We're looking to grow the team to continue to scale the impact of machine learning across Canva.
If you're seeking professional growth and enjoy working on large, distributed, cloud-based applications that delight our millions of individual and business users alike - then apply now to be considered for the position!
If you require visa sponsorship, you must ensure you have at least two (2) years of post-University commercial experience as a Software Engineer and meet the mandatory sponsorship requirements laid out by Department of Home Affairs.
We will not accept or review any CVs from external recruitment agencies.
We make hiring decisions based on your experience, skills and passion. If you’re keen to apply and need reasonable adjustments or would like to note which pronouns you use at any point in the application or interview process, please let us know.