Senior Software Engineer, Safety Data

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. In doing so, we help keep Roblox safe, civil, and inclusive, fostering positive relationships between people around the world.

Why Safety Data?

As a Senior Engineer you will play a key role in advancing large-scale AI systems that strengthen platform safety and integrity. You’ll leverage cutting-edge large multimodal 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.

In this role, you’ll work closely with cross-functional teams of engineers, product managers, policy experts, and safety specialists to turn complex safety challenges into scalable, impactful solutions. You’ll establish best practices and technical standards that define the next generation of safety AI, ensuring the platform remains secure, inclusive, and resilient. Your contributions will directly empower robust, AI-driven moderation and detection systems that foster a safe and positive experience for all users.

You Will

• Design, build, and own critical components of the AI systems that powers safety data needs, with a focus on usability, reliability, scalability, and performance.
• Implement robust pipelines for curating high-quality multimodal datasets used to train and evaluate ML models and human-in-the-loop systems that enable safe and compliant AI.
• Advance our AI systems infrastructure by developing strong frameworks for data quality, synthetic data generation, and synthetic labeling.
• Partner with cross-functional teams of engineers, product managers, policy experts, and safety specialists to to deliver scalable data and AI solutions to power next-generation safety systems.
• Shape and influence the company’s data culture and best practices, building foundational systems from scratch and driving impact rapidly.
• Stay current with emerging technologies and push forward innovation in data and AI to enhance user and platform safety.

You Have

• 6+ 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.
• Hands-on experience with fine-tuning VLMs, LLMs, or large multimodal models to improve model quality, safety, and performance is a plus.

You Are

• Data & System Oriented: You understand that robust data and systems are the foundation of any production applications, and you design infrastructure for scale, correctness, and reliability.
• Collaborative: You thrive in cross-functional teams, partnering effectively with Product and Engineering to solve complex challenges.
• Curious & Creative: You enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows.
• Impact Driven: You focus on outcomes - prioritizing product impact, reliability, and measurable success over code volume or complexity.