Senior Machine Learning Engineer - Revenue Fraud Prevention
Job Description
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 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. 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, this role is focused on:
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.
Developing a deep understanding of Canva’s business, and how to exploit it for monetary gain.
Shaping our fraud ML strategy, using a strong product + platform mindset.
Architecting, building, and maintaining ML systems that underpin fraud detection and response.
Mentoring and upskilling engineers and data scientists in the team to support you.
Empathetic and effective advocacy with stakeholders across domains and specialties.
Advocating for ethical AI practices and user trust in our fraud prevention approaches
You're probably a match if:
You’ve built and deployed machine learning models in production environments (preferably for fraud, abuse, or anomaly detection use cases).
You’re comfortable working across the ML lifecycle – from data wrangling to evaluation and model iteration.
You operate strategically—not just building what’s asked, but shaping what should be built.
You’re comfortable navigating ambiguous problem spaces with incomplete data and evolving priorities.
You have strong product sense and empathy for both internal and external users.
You are strong communicator who can align cross-functional teams and drive clarity in chaos.
You have hands-on experience building complex internal tools and user-facing flows at scale.
You enjoy thinking deeply about adversarial scenarios, edge cases, trust, and user intent.
You understands scoring and recommendation systems and how to apply them.
You have a strong grasp of core CS fundamentals, system design, and architecture.
You are fluent in Python and familiar with tools like PyTorch, TensorFlow, or scikit-learn.
Experience in fintech and business process automation is a plus.
About 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.
As a platform team we work with other teams around the company, and help them achieve their crazy big goals and keep 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.
Our team’s systems affect millions of Canva’s users, many of Canva’s products and teams, and every single transaction processed at Canva.
Since fraud is a complex domain, we also take care to be empathetic towards our users, interviewing and exploring how people use Canva, the experience of being involved in fraud, and the effect fraud response can have on people. We invest in making sure Canva’s approach to fraud is coherent, safe, secure, reliable, and leads to meaningful outcomes for everyone involved.
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 support 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.
About the job
Apply for this position
Senior Machine Learning Engineer - Revenue Fraud Prevention
Job Description
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 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. 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, this role is focused on:
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.
Developing a deep understanding of Canva’s business, and how to exploit it for monetary gain.
Shaping our fraud ML strategy, using a strong product + platform mindset.
Architecting, building, and maintaining ML systems that underpin fraud detection and response.
Mentoring and upskilling engineers and data scientists in the team to support you.
Empathetic and effective advocacy with stakeholders across domains and specialties.
Advocating for ethical AI practices and user trust in our fraud prevention approaches
You're probably a match if:
You’ve built and deployed machine learning models in production environments (preferably for fraud, abuse, or anomaly detection use cases).
You’re comfortable working across the ML lifecycle – from data wrangling to evaluation and model iteration.
You operate strategically—not just building what’s asked, but shaping what should be built.
You’re comfortable navigating ambiguous problem spaces with incomplete data and evolving priorities.
You have strong product sense and empathy for both internal and external users.
You are strong communicator who can align cross-functional teams and drive clarity in chaos.
You have hands-on experience building complex internal tools and user-facing flows at scale.
You enjoy thinking deeply about adversarial scenarios, edge cases, trust, and user intent.
You understands scoring and recommendation systems and how to apply them.
You have a strong grasp of core CS fundamentals, system design, and architecture.
You are fluent in Python and familiar with tools like PyTorch, TensorFlow, or scikit-learn.
Experience in fintech and business process automation is a plus.
About 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.
As a platform team we work with other teams around the company, and help them achieve their crazy big goals and keep 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.
Our team’s systems affect millions of Canva’s users, many of Canva’s products and teams, and every single transaction processed at Canva.
Since fraud is a complex domain, we also take care to be empathetic towards our users, interviewing and exploring how people use Canva, the experience of being involved in fraud, and the effect fraud response can have on people. We invest in making sure Canva’s approach to fraud is coherent, safe, secure, reliable, and leads to meaningful outcomes for everyone involved.
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 support 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.