Senior Machine Learning Engineer - Ml Platform

Details of the offer

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 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 also ensuring consistency and traceability from dev through to production. Working closely with other teams to understand how we can improve our existing services and platforms, or introduce new ones, in order to optimize their efficiency. Modernizing our underlying AWS serving infrastructure by migrating to EKS, as well as uplifting our account structure to expose new regions and services. Working to "platformize" new or immature existing capabilities such as model observability. Continue exploring opportunities for our platform teams to better leverage each other in order 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 is essential, 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 which support ML and AI initiatives, from early ideation and prototyping, through 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 which 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.
What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.
Here's a taste of what's on offer: Equity packages - we want our success to be yours too. Inclusive parental leave policy that supports all parents & carers. An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more. Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally. Check out lifeatcanva.com for more info.
Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you!
Please note that interviews are conducted virtually.
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