Machine Learning Engineer - ML Platform

Job Description

Job Description Join the team redefining how the world experiences design. 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. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth, and Adelaide. But you have choice in where and how you work; we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. What you’d be doing in this role As Canva scales, change continues to be part of our DNA. This will give you the flavor of the type of things you'll be working on when you start, but this will likely evolve. At the moment, this role is focused on: Leading ML platform projects end-to-end from ideation to delivery. Implementing changes to our build process for model servers, improving developer experience while ensuring consistency and traceability from dev through to production. Working closely with other teams to improve our existing services and platforms or introduce new ones to optimize their efficiency. Modernizing our underlying AWS serving infrastructure by migrating to EKS and uplifting our account structure to expose new regions and services. Working to "platformize" new (or immature existing) capabilities such as model observability. Exploring opportunities for our platform teams to better leverage each other to optimize for delivery of both product and R&D teams. You're probably a match if Proven track record of delivering wide changes and acquiring buy-in from multiple stakeholders. Passionate about engineering excellence, systems architecture, and meeting non-functional requirements. Background in integrating and scaling ML within engineering systems. Understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns. Excellent collaboration, communication, and stakeholder management skills. It would be preferable if you have: Deep expertise in Python development, with experience in modern development tools such as Bazel or Nix being a plus. Experience with containerization, Terraform, and GitOps principles for automation and deployment is a plus. Familiarity with the AWS ecosystem: ECS, EKS, ECR, Kinesis. About the team Canva's GenAI Platform Group is responsible for the delivery of capabilities that support ML and AI initiatives, from early ideation and prototyping to scaling to meet the needs of millions of Canva users in production. We empower thousands of engineers and product managers to deliver amazing product features that harness the power of cutting-edge technologies. The Production ML team develops tools, services, and processes to enable the deployment and serving of various teams’ models to our production environments. The team also owns and drives change in several engineering areas related to our Python and model/server environments. #J-18808-Ljbffr