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Staff Machine Learning Engineer — Melbourne CBD, Melbourne
Expired

This is a Staff Machine Learning Engineer role with one of the leading companies in AU right now Canva with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off. More About the Role at Canva 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. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have a choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. What you’d be doing in this role As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. At the moment, in this role you will - Partner with our leadership on developing an AI/ML strategy and roadmap to improve the customer support experience. - Be accountable for the delivery of the primary identified opportunities in UV, partnering with product and engineering teams. - Lead the ML development of a natural language understanding/processing system that integrates seamlessly into the Canva Product. - Collaborate with MLEs across the organisation to tap into existing ML capabilities and/or work on cross-organisation problems and solutions. You're probably a match if - You have more than 5 years of Industry experience in the machine learning/software engineering role with a Product/SaaS company. - You have experience with industry-level high scale Natural Language Systems. - You have experience building and deploying machine learning models, including a strong understanding of end-to-end machine learning pipelines and components. - You have strong coding proficiency in Python (note that interviews will be in Python). - You are familiar with several of the following: TensorFlow, PyTorch, scikit-learn, Langchain and Huggingface. - You have worked with RAG architectures and/or have a good understanding of its application. - You have a strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns. - You have ideally previously worked in Customer Support and/or Business Process automation role. - You have excellent collaboration and communication skills. You enjoy pairing with and mentoring other engineers. - You have a proven ability to set medium to long-term vision for the team in the AI space. If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile. Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like Canva. ✅ Applying here is the first step in the hiring process for this role at Canva. We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.

Applications close Sunday, 24 November 2024
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