Senior ML Infra Engineer – Text Safety & Moderation

Roblox

San Mateo (CA)

On-site

USD 260,000 - 313,000

Full time

14 days+
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Benefits offered by this job

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Job summary

Roblox is seeking a Senior Engineer to advance large-scale AI systems that strengthen text safety and integrity across the platform. You will design, build, and own components that ensure high-quality text and robust moderation across Roblox properties, while working with product, policy, and safety teams.

You will push AI infrastructure forward, develop evaluation tooling, and stay ahead of emerging technologies to enhance user safety and platform reliability.

Qualifications

  • 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
  • Graduate degree or equivalent in Computer Science, Engineering, or related technical field.
  • Strong communication skills and a collaborative, solution-oriented approach.

Responsibilities

  • Design, build, and own critical components of AI-based text safety systems.
  • Implement robust AI services to ensure text quality across Roblox properties.
  • Advance AI infrastructure with strong frameworks and APIs for hundreds of clients.
  • Collaborate with cross-functional teams to deliver scalable data and AI solutions.
  • Develop text safety quality metrics and evaluation tooling for ongoing improvement.
  • Stay current with emerging technologies and drive AI safety innovations.

Skills

Large-scale ML design
Production ML deployment
Communication skills

Education

Graduate degree in CS/Engineering or related field

Job description

Roblox is seeking a Senior Engineer to advance large-scale AI systems that strengthen text safety and integrity across the platform. You will design, build, and own components that ensure high-quality text and robust moderation across Roblox properties, while working with product, policy, and safety teams.

You will push AI infrastructure forward, develop evaluation tooling, and stay ahead of emerging technologies to enhance user safety and platform reliability.

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