Senior Machine Learning Developer

2 weeks ago

Brisbane, Queensland, Australia beBeeMachine Full time $200,000 - $250,000
Job Overview

We're looking for a seasoned expert to join our Revenue Fraud Prevention team.

This is an opportunity to make a significant impact on our business by developing and deploying fraud detection models.

Key Responsibilities:
  • Develop and deploy machine learning models to prevent revenue leakage across various monetisation channels.
  • Collaborate with backend engineers, data scientists and product managers to build and iterate on fraud prevention strategies.
  • Develop a deep understanding of the business, and how to exploit it for monetary gain.
  • Shaping the 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.
Required Skills and Qualifications:
  • 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.
  • Navigating ambiguous problem spaces with incomplete data and evolving priorities.
  • Strong product sense and empathy for both internal and external users.
  • Strong communicator who can align cross-functional teams and drive clarity in chaos.
  • Hands-on experience building complex internal tools and user-facing flows at scale.
  • 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 responsible for understanding how our business attracts fraud, and finding effective ways to manage fraud that supports long-term growth.

As a platform team we work with other teams around the company, helping them achieve their ambitious goals and maintain business integrity.

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 users, many products and teams, and every single transaction processed.

Since fraud is a complex domain, we also take care to be empathetic towards our users, interviewing and exploring how people use our services, the experience of being involved in fraud, and the effect fraud response can have on individuals.

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