Senior ML Infra Engineer – Asset Safety

Roblox Corporation; San Mateo (CA); On-site; USD 279,000 - 329,000; Full time

Job summary

Roblox Corporation is seeking a Senior Software Engineer for ML Infrastructure in Asset Safety. The role focuses on building scalable ML-driven safety systems across multimedia content, aiming to keep millions of assets safe and civil while maintaining high performance.

You will lead architecture, drive end-to-end development, and collaborate with product and data science teams. You will apply expertise in large-scale ML infrastructure, microservices, streaming platforms, and rigorous testing to

Qualifications

• 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, distributed architecture, scalable storage and event-driven processing.
• Proven leadership with architecting and deploying low-latency, distributed ML services to production.
• Hands-on experience with streaming and messaging platforms (Kafka, Flink) and CI/CD pipelines; strong observability and security practices.

Responsibilities

• Architect, build, and optimize end-to-end ML-based safety moderation systems using scalable distributed architectures and asynchronous workflows.
• Deliver production-grade AI-driven safety products from ideation to deployment with cross-functional alignment.
• Drive technical roadmap decisions, enforce testing, CI/CD, and security standards; mentor engineers.

Skills

Backend engineering

Distributed systems

ML infrastructure

Team leadership

Observability

CI/CD

Security compliance

Vision-Language Models

Tools

Apache Kafka

Apache Flink

Job description

Roblox Corporation is seeking a Senior Software Engineer for ML Infrastructure in Asset Safety. The role focuses on building scalable ML-driven safety systems across multimedia content, aiming to keep millions of assets safe and civil while maintaining high performance.

You will lead architecture, drive end-to-end development, and collaborate with product and data science teams. You will apply expertise in large-scale ML infrastructure, microservices, streaming platforms, and rigorous testing to