Distinguished Machine Learning Engineer - Safety

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

Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, responsible for driving the technical vision and execution of ML initiatives for user safety and civility. This role involves leading the creation and deployment of large-scale ML models, mentoring engineers, and collaborating with cross-functional teams to ensure a safe and inclusive platform.

What you'd actually do

  1. Own the technical direction and implementation of machine learning solutions for safety-related systems
  2. Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity
  3. Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
  4. Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
  5. Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding

Skills

Required

  • 10+ years of experience delivering and improving large-scale machine learning systems
  • Proven expertise in creating and launching machine learning models from scratch
  • Ability to handle data problems, train models with large datasets, and ensure system reliability at scale
  • Experience with distributed systems, data architecture, and model extraction
  • Strong programming skills and willingness to be hands-on as necessary
  • Prior experience in a leadership role with a technical focus, including mentoring engineering teams
  • Knowledgeable about cutting-edge ML technologies, including LLMs

Nice to have

  • Experienced in NLP or computer vision (preferred)
  • Familiar with maintaining and evolving safety systems at scale (preferred)

What the JD emphasized

  • 10+ years of experience delivering and improving large-scale machine learning systems
  • Proven expertise in creating and launching machine learning models from scratch
  • Ability to handle data problems, train models with large datasets, and ensure system reliability at scale
  • Experience with distributed systems, data architecture, and model extraction
  • Familiar with maintaining and evolving safety systems at scale (preferred)

Other signals

  • Drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users.
  • Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
  • 10+ years of experience delivering and improving large-scale machine learning systems
  • Proven expertise in creating and launching machine learning models from scratch