Software Engineer, Communication Safety

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 were 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. Were 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 youll 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 a Software Engineer on our Communication Safety team you will join a high-impact team dedicated to detecting and mitigating unsafe communication at a massive scale. You will work at the intersection of backend infrastructure and machine learning ensuring that our safety systems are not only accurate but also highly performant and reliable.

This is a unique opportunity to solve complex technical challenges in real-time moderation. You will help build the infrastructure that catches abusive or policy-violating behavior before it spreads balancing low-latency execution with the massive scale of our global community.

You Will:

• Design code and test innovative features for our core safety platform navigating the full development lifecycle from initial design to production deployment.
• Improve the performance memory usage and stability of our pipeline across all content types including chat game assets and in game experience.
• Work closely with product design and partner teams to maintain high execution quality and pace.
• Be mentored by senior engineers and actively engaged in architectural discussions and system design for our text safety solutions.

You Have:

• 1-3 years of experience in Software Engineering/Computer Science
• Strong proficiency in C# and Python with a track record of building and maintaining scalable high-availability backend services.
• Familiarity with the lifecycle of machine learning models specifically around model serving experimentation and performance monitoring.
• Experience handling production incidents and a passion for improving observability and recovery times in distributed systems.
• Experience collaborating cross-functionally with Product stakeholders to define requirements and deliver technical solutions.