Senior Software Engineer, Machine Learning (Communication Safety)

Why Safety?

At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically and proactively work to detect, remove, and prevent problematic content and behavior. We seek to influence and shape the product roadmap and prioritization, build safety products, and measure our impact on the community of users and developers.

Why Text Safety?

You will play a key role in advancing large-scale AI systems that strengthen text safety and integrity. You will leverage cutting-edge ML models to build intelligent tools to curate high-quality training and evaluation data to train machine learning models. These systems will continuously refine and enhance model performance, enabling proactive detection and mitigation of safety risks across the platform in real time.

What You Will Do

• Design, build, and own critical components of the AI based text safety components, with a focus on usability, reliability, scalability, and performance.
• Implement robust AI service to ensure text quality on all Roblox properties (Avatar, Game Description etc.).
• Advance our AI systems infrastructure by developing strong frameworks and APIs to support the text filtering needs for hundreds of clients in Roblox.
• Partner with cross-functional teams of engineers, product managers, policy experts, and safety specialists to deliver scalable data and AI solutions to power next-generation safety systems.
• Develop text safety quality metrics and eval tooling to support the continued quality iteration over time.
• Stay current with emerging technologies and push forward innovation in AI space to enhance user and platform safety.

Requirements

• 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
• A graduate degree or equivalent experience in Computer Science, Engineering, or a related technical field.
• Strong communication skills and a collaborative, solution-oriented approach to problem solving.
• Data & System Oriented: Understands that robust data and systems are the foundation of any production applications, and designs infrastructure for scale, correctness, and reliability.
• Collaborative: Thrives in cross-functional teams, partnering effectively with Product and Engineering to solve complex challenges.
• Curious & Creative: Enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows.
• Impact Driven: Focuses on outcomes - prioritizing product impact, reliability, and measurable success over code volume or complexity.