Senior Software Engineer - Fraud

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As an Economy Fraud engineer, you defend Roblox from all types of fraud, including theft, scams, money laundering, and payment fraud.

Roblox is a high-growth, unique product environment. You will be developing anti-fraud and abuse solutions for web, mobile, and 3D environments. 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.

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 Fraud engineer, you will be in a data-driven environment developing both classical and novel approaches to detect and prevent this bad behavior.

You Have: 4+ years of professional experience working with scalable, distributed systems Strong experience in large-scale, data-driven architecture, API design, data modeling, and SQL / NoSQL data storage. Experience in risk prevention, machine learning, or analytical work. Risk prevention may include but is not limited to anti-Fraud, anti-Abuse, or Trust Safety.

Analytical work may include but is not limited to Data Analysis, Scientific Computing, Statistical Modeling, or Research. Passion for delivering products end-to-end, from ideation through implementation and A/B testing, while being empathetic with cross-functional stakeholders. Strong ownership with proactive, candid communication, and an ability to handle high complexity Bachelor's Degree or above in Computer Science or another quantitative field You Will: Develop backend services, fraud platform components, and pipelines to implement product logic, encourage eng efficiency, and produce features for ML models.

Be a Tech Lead that contributes to our Technical Roadmap and Risk Defense strategy. Up-level our data mining and data-driven approaches. Occasionally perform data analysis to understand our Fraud Abuse domain.

Occasionally bridge communication between generalist backend engineers, and data scientists and ML engineers. Help recruit future talent for the team For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand.

Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.

Compensation

and for

Benefits

as described on this page . Annual Salary Range $196,750 $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).