About The Position

The Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. We focus on monitoring and influencing user behavior, building efficient and scalable moderation platforms, providing transparency and education for parents and developers, giving users agency in managing their own safety, giving IP owners the ability to manage their creations on Roblox, and providing users fast and accurate support with the Customer Care Chatbot.

Requirements

  • MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field
  • Solid fundamentals in Computer Vision and Deep Learning
  • Experience with the full ML lifecycle, including training, deployment, and continuous monitoring
  • Experience with similarity detection and/or digital watermarking, including developing and re-training embedding models, including multi-modal models
  • Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems

Nice To Haves

  • Experienced in the safety, integrity, or content moderation domain
  • Familiar with large-scale content understanding problems (e.g., text, image, video classification)
  • Experienced with cloud-based ML platforms and infrastructure

Responsibilities

  • Work on implementation of machine learning solutions for safety-related systems
  • Help to foster a culture of technical excellence and inclusivity
  • Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
  • Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
  • Facilitate challenging technical decisions, demonstrating empathy and finding common understanding
  • Collaborate with cross-functional teams to execute on ML-based problems
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