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Urgent! Senior Software Engineer - Data Engineering - Safety Job Opening In San Mateo – Now Hiring Roblox

Senior Software Engineer Data Engineering Safety



Job description

Senior Software Engineer - Data Engineering - Safety

San Mateo, CA, United StatesEngineeringID: 5244

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.

Why Safety Core Data?


The Safety Core Data team curates high-quality, multimodal data to power advanced generative AI safety systems.

As a Senior Software Engineer, you’ll be pivotal in building foundational data systems that make this data accessible, trustworthy, and actionable—enabling ML teams to develop safer AI at scale.


We’re seeking experienced engineers with a passion for data, a track record of building large-scale distributed systems, and a drive to solve complex, high-impact data challenges with a focus on scalability, reliability, and performance.


You Will

  • Design, build, and own core components of the data infrastructure and tools to clean, transform, and curate multimodal datasets for AI model training and evaluation.

  • Partner with ML Engineers, Data Scientists, and Ops teams to understand evolving data needs, improve workflows, and surface actionable insights that drive improvement in model performance and policy.

  • Develop frameworks to capture, organize, and surface critical data, enabling model teams to rapidly identify performance gaps and retrain on high-value examples.

  • Amplify the impact of other Safety teams by identifying data bottlenecks and building scalable, generalizable solutions.

  • Design high-throughput data storage and retrieval systems that facilitate efficient training and evaluation of large-scale generative models.

  • Implement automated systems for data quality, traceability, and governance to ensure accuracy and auditability throughout the ML lifecycle.
  • You Have

  • 5+ years of experience building production-grade, scalable, and reliable data systems for AI/ML applications.

  • Strong expertise in developing large-scale data pipelines (batch and streaming) with technologies such as Spark, Ray, Kubeflow, or similar.

  • Hands-on experience working with data systems at petabyte scale or beyond.

  • Excellent cross-functional collaboration skills; enjoy building infrastructure and tools that enable and accelerate team productivity.

  • Approach data as a product—prioritizing quality, discoverability, and reusability.

  • Bachelor’s degree or higher in Computer Science or a related technical field.

  • Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).


    Required Skill Profession

    Computer Occupations



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