$ cat jobs/staff-machine-learning-engineer-recommendations-au-remote-canva-db3dce2364a6.json
Staff Machine Learning Engineer - Recommendations (AU remote)
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, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that's from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia , so you can choose the setup that empowers you and your team to do your best work. About the Group/Team: Canva is full of AI-powered magic, but our ML-powered Recommendations is one of the highest-traffic machine-learning system at Canva. Serving over two hundred million users every month, our recommendations help Canva users to find exactly what they’re looking for before they even know it. We are always working with cutting-edge technology, reading new research papers, and running dramatic experiments to improve our recommender systems. The Recommendations team is a great fit for someone looking to make a huge impact on Canva users by employing the latest in Machine Learning Research. A few of the Recommender Systems that we own: Recommending Canva templates to users to get them started with their design, helping them jump-start their creative process. “Magic Recommendations” for images, graphics, video and audio, enabling users to automatically find the perfect content to enhance their designs. Design-aware recommendations for images, graphics inside the Canva Editor. Recommendations for Canva Creators you might like to follow. Recommendations for Fonts you might like to use. And many more! About the Role/Specialty: At Canva, our Recommendations team is at the forefront of crafting personalized experiences that delight our users. As a Staff Machine Learning Engineer, you'll set the techni
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