Senior ML Infra Engineer – Asset Safety

Roblox Corporation

San Mateo (CA)

On-site

USD 279,000 - 329,000

Full time

3 days ago
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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

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