Safety and Civility is Roblox's #1 priority, and our mission is to protect our global community. As a Senior Software Engineer on the Asset Safety team, 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. You will tackle complex engineering challenges across diverse modalities-including 3D content, code, images, and video-operating at platform-wide scale across billions of engagement hours while maintaining efficient, low-frequency high-throughput processing.

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.
• 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.
• Drive technical roadmap decisions, implement robust observability and reliability practices, integrate strict security and compliance standards, and enforce rigorous testing and CI/CD pipelines while mentoring engineering team members.
• Partner closely with Moderation Operations, Product Management, Data Science, and partner engineering teams across Roblox to deliver cohesive safety solutions.

You have:

• 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.

You are:

• Resourceful: Adaptable in fast-moving environments, with a track record of driving solutions through complex challenges.
• Analytical: Driven to investigate large, complex, and ambiguous technical challenges, using data to quantify problem scope and measure solution effectiveness.
• User-Oriented: Committed to prioritizing the needs of platform users and internal technical partners when designing and scaling backend architecture.
• Team-Oriented: Dedicated to elevating engineering peers, serving as an active mentor, and cultivating a high-standard culture of engineering excellence.
• Mission-Oriented: Focused on core organizational goals, bringing strategic foresight and adaptability to balance long-term technical vision with immediate business impact.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$278,530-$328,610 USD

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