Senior Machine Learning Engineer - Fraud & Optimization

Roblox is a high-growth, unique product environment. You will be developing anti-fraud and abuse solutions for web, mobile, and 3D environments, as well as personalizing the experience of our payments funnel.This high impact work and your innovation is critical for the well-being of our community and to the future of our company. We aim for our users to have peace of mind that their communities and transactions are protected. Our defenses also protect our company’s rapid expansion and safeguard billions in revenue. Roblox’s virtual marketplace handles over 4 million transactions a day, and enables our top developers to make millions of dollars a year.

Why Economy Fraud & Optimization?

As an Economy Fraud & Optimization engineer, you defend Roblox from all types of fraud, including purchasing and selling virtual items, and payment fraud. Additionally, you will play a key role in optimizing the payments funnel, identifying friction points, and implementing strategies to improve conversion rates and personalize the user experience.

Our team’s challenges are not just regular day-to-day technical challenges. Fraud and abuse approaches need to shift over time, depending on the current behaviors of fraudsters. As an Economy ML engineer, you will be in a data-driven environment developing both classical and novel approaches to detect and prevent this bad behavior.

You Will:

• Build, deploy, maintain and monitor high-scale ML solutions while working closely with product engineers and infra engineers.
• Implement models, improve infrastructure, build visualizations, perform data analysis, forecast fraud scenarios, and assist fraud investigations.
• Optimize and personalize the payments funnel to reduce friction, improve conversion rates, and tune toward user preferences.
• Collaborate with generalist backend engineers, data scientists, product, and operations.
• Build and deliver complex technical projects from the planning stage through execution.
• Ensure that our systems are scalable, reliable, and extensible.

You Have:

• 5+ years of professional experience building and working on end-to-end ML systems, including data analysis, ML modeling and data pipelines.
• Domain experience in fraud, abuse, risk, security, or trust & safety is a plus, but not required.
• Passion for delivering products end-to-end, from ideation through implementation and A/B testing, while being empathetic with cross-functional stakeholders.
• Ownership mindset with proactive, candid communication.
• Bachelor's Degree or above in computer science, engineering, mathematics, machine learning, or some other quantitative field.