ML Strategist

1 week ago

Brisbane, Queensland, Australia beBeeMachine Full time $120,000 - $150,000

Join Canva, the online graphic design platform that empowers creativity and brings people together through art and design.

About the Role

In this position, you will work on developing and deploying fraud detection models to prevent revenue leakage across our monetization channels. You will collaborate with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies.

You will gain a deep understanding of our business and learn how to exploit it for monetary gain. You will shape our fraud ML strategy using a strong product + platform mindset. You will architect, build, and maintain ML systems that underpin fraud detection and response.

You will also mentor and upskill engineers and data scientists in the team to support you. You will empathize and effectively advocate with stakeholders across domains and specialties. You will advocate for ethical AI practices and user trust in our fraud prevention approaches.

We are looking for someone who has built and deployed machine learning models in production environments, preferably for fraud, abuse, or anomaly detection use cases. You should be comfortable working across the ML lifecycle - from data wrangling to evaluation and model iteration.

You should operate strategically, not just building what's asked, but shaping what should be built. You should be comfortable navigating ambiguous problem spaces with incomplete data and evolving priorities.

Even if your skills don't exactly match what's listed above, we still want to hear from you.

Please note that interviews are conducted virtually.

About Us

We are a global company with offices in multiple locations. We are a diverse and inclusive team with a passion for innovation and creativity.

What We Offer

We offer a range of benefits to our employees, including equity packages, inclusive parental leave policy, annual Vibe & Thrive allowance, flexible leave options, and more.

We believe in fostering a culture of diversity, equity, and inclusion. We are committed to creating an environment where everyone can thrive and reach their full potential.

How to Apply

If you are passionate about machine learning and excited about the opportunity to join us, please submit your application. We look forward to hearing from you

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