Sr Machine Learning Engineer - Safety Experience

Roblox Roblox · Consumer · San Mateo, CA · Machine Learning

Senior Machine Learning Engineer focused on implementing ML solutions for safety-related systems at Roblox. The role involves crafting and building large-scale ML models, including multi-modal embedding models for similarity detection, and managing the full ML lifecycle from training to deployment and monitoring. Experience in safety, integrity, or content moderation domains, and large-scale content understanding (text, image, video) is required.

What you'd actually do

  1. Work on implementation of machine learning solutions for safety-related systems
  2. Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
  3. Collaborate with cross-functional teams to execute on ML-based problems
  4. Help to foster a culture of technical excellence and inclusivity
  5. Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement

Skills

Required

  • 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
  • Experience developing and re-training embedding models, including multi-modal models
  • Strong coding skills with proficiency in one or more programming languages
  • Experience with building large-scale systems
  • Experience in the safety, integrity, or content moderation domain
  • Familiarity with large-scale content understanding problems (e.g., text, image, video classification)
  • Experience with cloud-based ML platforms and infrastructure

What the JD emphasized

  • Experience with the full ML lifecycle, including training, deployment, and continuous monitoring
  • Experience with similarity detection and/or digital watermarking
  • developing and re-training embedding models, including multi-modal models
  • experienced in the safety, integrity, or content moderation domain
  • familiar with large-scale content understanding problems (e.g., text, image, video classification)

Other signals

  • building large-scale ML models
  • full ML lifecycle
  • similarity detection
  • embedding models
  • multi-modal models
  • safety-related systems