drjobs Senior Machine Learning Engineer - Revenue Fraud Prevention

Senior Machine Learning Engineer - Revenue Fraud Prevention

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1 Vacancy
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Job Location drjobs

Sydney - Australia

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Join the team redefining how the world experiences design.

Hey gday mabuhay kia ora hallo vtejte!
Thanks for stopping by. We know job hunting can be a little time-consuming and youre probably keen to find out whats on offer so well 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 youd be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think thats all part of the fun. So this will give you the flavour of the type of things youll 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 Canvas monetisation channels.
  • Collaborating with backend engineers data scientists and product managers to build and iterate on fraud prevention strategies.
  • Developing a deep understanding of Canvas 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

Youre probably a match if:

  • Youve built and deployed machine learning models in production environments (preferably for fraud abuse or anomaly detection use cases).
  • Youre comfortable working across the ML lifecycle from data wrangling to evaluation and model iteration.
  • You operate strategicallynot just building whats asked but shaping what should be built.
  • Youre 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 Canvas business attracts fraud and finding effective ways to manage fraud that support the companys 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 Canvas 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 teams systems affect millions of Canvas users many of Canvas 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 Canvas approach to fraud is coherent safe secure reliable and leads to meaningful outcomes for everyone involved.

Whats in it for you

Achieving our crazy big goals motivates us to work hard and we do but youll 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.

Heres a taste of whats 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 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 dont feel like your skills quite match whats listed above we still want to hear from you!
Please note that interviews are conducted virtually.


Remote Work :

Yes


Employment Type :

Full-time

Employment Type

Remote

About Company

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