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Machine Learning Specialist

3 weeks ago

Melbourne, Victoria, Australia beBeeMachineLearning Full time $120,000 - $180,000
Senior Machine Learning Engineer

Experience the transformative power of artificial intelligence in a challenging and rewarding role.


We are seeking an experienced Senior Machine Learning Engineer to join our Revenue Fraud Prevention team. As a key member of this team, you will play a critical role in developing and deploying machine learning models to prevent revenue leakage across various monetization channels.


This is a unique opportunity for a skilled machine learning engineer who is passionate about working on complex problems and collaborating with cross-functional teams to drive business outcomes.


  • Developing and deploying fraud detection models to prevent revenue leakage across multiple monetization channels.
  • Collaborating with backend engineers, data scientists and product managers to build and iterate on fraud prevention strategies.
  • Developing a deep understanding of our business and how to leverage 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

Key Requirements:


  • 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.
  • Comfortable navigating ambiguous problem spaces with incomplete data and evolving priorities.
  • Strong product sense and empathy for both internal and external users.
  • Strong communication skills to align cross-functional teams and drive clarity in chaos.
  • Hands-on experience building complex internal tools and user-facing flows at scale.
  • Enjoy thinking deeply about adversarial scenarios edge cases trust and user intent.
  • Understand scoring and recommendation systems and how to apply them.
  • Grasp core CS fundamentals system design and architecture.
  • Fluent in Python and familiar with tools like PyTorch TensorFlow or scikit-learn.
  • Experience in fintech and business process automation a plus.