Staff Machine Learning Engineer - User Voice (Remote across Australia & New Zealand)
Job details
Job Description Please note this role is open to candidates willing to relocate to Australia or New Zealand 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 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. 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 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.
- 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 support you personally
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