Senior Machine Learning Engineering Manager

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

Senior Engineering Manager for Safety AI Systems at Roblox, leading a team to develop innovative AI solutions for multimodal content safety. The role involves overseeing machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance for real-time content understanding and moderation using large vision language models across various data types (avatars, images, videos, audios, text, code/data). The goal is to detect and mitigate abusive behavior at scale to ensure a safe and inclusive platform.

What you'd actually do

  1. Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale.
  2. Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent.
  3. Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step.
  4. Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready.
  5. Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders.

Skills

Required

  • Machine learning systems
  • Multimodal AI
  • Vision language models
  • Foundation models
  • Production ML
  • MLOps
  • Team leadership
  • Technical direction
  • Roadmap development
  • Cross-functional collaboration
  • Product sense
  • Microservice architectures
  • Distributed systems

Nice to have

  • Content moderation
  • Real-time systems
  • Data quality improvement
  • Training pipelines
  • Model performance optimization
  • Policy collaboration
  • Emerging AI/ML trends

What the JD emphasized

  • 5+ years of experience building large-scale machine learning systems in production environments
  • Proven track record of designing, developing, and launching ML models from scratch into production
  • 2+ years of hands-on experience with vision language models or other foundation model technologies
  • Expertise in solving complex ML modeling, data, and infrastructure challenges

Other signals

  • multimodal content safety
  • large vision language models
  • real-time multi-verse content understanding
  • advanced moderation