Expert Fraud Detection Specialist

10 hours ago

Melbourne, Victoria, Australia beBeeMachine Full time $130,000 - $180,000

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Canva.

About the Role

As a key member of our Revenue Fraud Prevention team, you will be responsible for developing and deploying fraud detection models to prevent revenue leakage across Canva's monetisation channels.

You will collaborate with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies. Your expertise in machine learning will help shape our fraud ML strategy, using a strong product + platform mindset.

  • Developing and deploying fraud detection models to prevent revenue leakage across Canva's monetisation channels.
  • Collaborating with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies.
  • Shaping our fraud ML strategy, using a strong product + platform mindset.

Key Responsibilities:

  • Architecting, building, and maintaining ML systems that underpin fraud detection and response.
  • Mentoring and upskilling engineers and data scientists in the team.
  • Empathetic and effective advocacy with stakeholders across domains and specialties.
The Team

The Revenue Fraud Prevention team is a platform team responsible for understanding how Canva's business attracts fraud, and finding effective ways to manage fraud that support the company's long term growth.

We work with other teams around the company, helping them achieve their crazy big goals and keeping up the integrity of Canva's business. Our platform support takes many forms, including consultation on new product launches, modelling known and emerging fraud vectors, and engineering automated systems to identify, prevent, and remediate fraud at scale.

Your Skills And Experience
  • Built and deployed machine learning models in production environments (preferably for fraud, abuse, or anomaly detection use cases).
  • Comfortable working across the ML lifecycle – from data wrangling to evaluation and model iteration.
  • Operate strategically—not just building what's asked, but shaping what should be built.
  • Strong product sense and empathy for both internal and external users.
  • Fluent in Python and familiar with tools like PyTorch, TensorFlow, or scikit-learn.

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

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