[2026] Senior Machine Learning Engineer, Content Suitability - Phd Early Career

Roblox Roblox · Consumer · San Mateo, CA · Early Career Full-Time

Senior Machine Learning Engineer focused on content suitability within Roblox's Safety organization. The role involves managing the end-to-end lifecycle of large-scale ML models for safety-related systems, including data exploration, training, deployment, monitoring, and optimization. Requires expertise in Computer Vision, LLMs, and Deep Learning, with experience in cloud ML platforms and building large-scale systems.

What you'd actually do

  1. Manage the end-to-end lifecycle of key large-scale ML models with billions of parameters—from initial data exploration and training to production deployment, monitoring, and ongoing optimization.
  2. Work on implementation of machine learning solutions for safety-related systems.
  3. Help to foster a culture of technical excellence and inclusivity.
  4. Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement.
  5. Collaborate with backend and ML engineers, and cross-functional teams to ensure deployment of models at a massive scale.

Skills

Required

  • PhD or equivalent in Computer Science, Computer Engineering, Mathematics or a related field
  • Computer Vision
  • Large Language Models (LLMs)
  • Deep Learning
  • cloud-based ML platforms and infrastructure
  • building large-scale systems
  • Python

Nice to have

  • image, video classification

What the JD emphasized

  • large-scale ML models
  • billions of parameters
  • content suitability
  • safety-related systems
  • massive scale

Other signals

  • large-scale ML models
  • content suitability
  • moderation leverage
  • ML models with billions of parameters