ironquill.tech/board

$ cat jobs/staff-machine-learning-engineer-visual-suite-platform-au-rem-canva-edac2bfa9375.json

Staff Machine Learning Engineer - Visual Suite Platform (AU remote)

Canva·Worldwide·Remote·senior
mlllm
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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 We're the Productivity group within the Design Experience supergroup. We build the surfaces people use to organise and act on information in Canva: Sheets, Tables, Docs, Whiteboards, Presentations, Websites, and Email. Right now, we're focused on using AI to automate whole user flows, not just bolt on smart features. We want to invent what productivity looks like next, and rethink how the work actually gets done. We move fast and ship often, and we care about the details that make AI feel effortless. Our work touches millions of people every day, so getting it right matters. About the Role/Specialty This role drives AI strategy from a product perspective: identifying where ML and AI create the most value across Productivity's user journeys, and shaping how those AI-enabled experiences get built. A core current focus is toolifying existing Productivity functionality, wrapping it so LLMs and agents can use it to complete real user tasks. You will manage your time between scoping unstructured product and technical problems, setting patterns other engineers build on, partnering with product to shape where ML has impact, and mentoring engineers to raise the technical bar. What you’ll do (responsibilities) Identify and drive where ML/AI creates the most value across Productivity's user journeys

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