About The Position

Join the Content Suitability team and play a pivotal role in shaping the future of content on Roblox. Our team is at the forefront of building tools and systems that enable creators to launch diverse, age-appropriate experiences. By helping developers bring content like the 18+ launch to a global audience, we ensure Roblox remains a platform for people of all ages. Our work is deeply rooted in cutting-edge machine learning, where we develop and deploy sophisticated ML models essential for automated content review and policy enforcement. This isn't just about good governance; it's about ensuring our creators can successfully launch their games everywhere. We help them seamlessly adapt content to local customs and regulations, preventing restrictions and ensuring a global reach for their work. Our efforts ensure the Roblox platform remains compliant with evolving regulations across all markets. This safeguards our diverse user base and, critically, prevents the platform from being restricted in key regions. You'll also contribute to our Content Policy Platform, empowering teams across Roblox to add and manage content access policies that are vital to our platform's integrity and safety.

Requirements

  • 8+ years of experience building and operating hyper-scale distributed systems.
  • Deep expertise in distributed systems architecture and tackling related scaling and reliability challenges.
  • Mastery in a modern OOP/Systems language (e.g., Go, Java, C++) with strong design principles.
  • Experience integrating complex ML/Data pipelines into high-throughput production services.
  • Proven ability to lead technical strategy and influence decisions across multiple engineering teams.
  • Excellent communication skills.
  • Bachelor's or Master's in Computer Science or a related technical field.

Responsibilities

  • Define and own the long-term architectural strategy for the Content Policy Platform, ensuring it supports hyper-scale, low-latency, and high reliability.
  • Drive engineering excellence and operational rigor, establishing standards for performance, resilience, and maintainability across the domain.
  • Function as the primary technical leader, providing deep guidance and mentorship to engineers in the team.
  • Architect and oversee the productionization of advanced ML systems for content maturity labeling and real-time policy enforcement, ensuring robust scalability and observability.
  • Identify, mitigate, and resolve significant risks and technical debt, making strategic trade-off decisions.
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