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Salary: USD 278,530 - 328,610 / annual
Roblox is seeking a Senior Software Engineer to join the Asset Safety team, which is responsible for protecting the platform's global community. In this role, you will serve as a hands-on technical leader building resilient, highly scalable systems to ensure millions of daily user-generated assets remain safe and civil across diverse modalities including 3D content, code, images, and video.
You will architect, build, and optimize end-to-end ML-based safety moderation systems to detect and mitigate problematic content using scalable distributed architectures and event-driven, asynchronous workflows. You will deliver production-grade, AI-driven safety products end-to-end in a dynamic environment, driving execution from initial ideation to deployment while aligning key cross-functional stakeholders.
Key responsibilities include driving technical roadmap decisions, implementing robust observability and reliability practices, integrating strict security and compliance standards, and enforcing rigorous testing and CI/CD pipelines. You will also mentor engineering team members and partner closely with Moderation Operations, Product Management, Data Science, and partner engineering teams across Roblox to deliver cohesive safety solutions.
The role operates at platform-wide scale across billions of engagement hours while maintaining efficient, low-frequency high-throughput processing. You will tackle complex engineering challenges and help shape the future of human interaction on the platform.
Roblox offers a hybrid work arrangement with required presence Tuesday, Wednesday, and Thursday at the San Mateo headquarters, with optional presence on Monday and Friday.
REQUIREMENTS:
- 5+ years of professional software engineering experience designing, building, and deploying large-scale ML infrastructure and distributed production systems
- Deep backend engineering expertise in high-capacity microservices, advanced distributed architecture, scalable data storage and management, and event-driven asynchronous processing
- Proven technical leadership with a track record of architecting, building, and deploying low-latency, distributed ML services to production end-to-end
- Practical experience with streaming and messaging platforms (e.g., Apache Kafka, Apache Flink), end-to-end testing, CI/CD pipelines, security compliance, and comprehensive system observability
- Hands-on experience with computer vision techniques and multi-modal architectures spanning image, audio, video, and 3D content modeling
- Experience fine-tuning large Vision-Language Models (VLMs) is a plus
- Resourcefulness and adaptability in fast-moving environments
- Strong analytical skills with ability to investigate complex technical challenges and use data to measure solution effectiveness
- User-oriented mindset prioritizing platform users and internal technical partners
- Team-oriented approach with commitment to mentoring and cultivating engineering excellence
- Mission-oriented focus on core organizational goals with strategic foresight
