Principal Machine Learning Engineer, Content Safety
Core
Define the future of proactive content moderation and set the 3-5 year technical strategy for massive-scale ML systems that mitigate violative user-generated content on Roblox.
Role type
Principal Machine Learning Engineer (Content Safety)
Builds
Massive-scale ML inference services, auto-labeling pipelines, and production systems for content moderation.
Domain
Internet platform safety, Computer Vision, Vision-Language Models
Deliverable
production ML models
Required skills
Advanced ML architectures (CV, VLMs), scalable real-time inference, robust data pipeline design, transfer-learning, self-supervised learning, quantization, LoRA, distillation, backend integration, cross-functional leadership
Preferred skills
Strategic planning, executive communication, ethical AI principles, building consensus among stakeholders
Technologies
Modern AI coding tools (e.g., Cursor), transfer-learning, self-supervised learning, quantization, LoRA, distillation
Responsibilities
Define and lead multi-year technical vision and architectural strategy for ML solutions; collaborate with executive-level leaders to prioritize the ML roadmap; oversee adoption and deployment of innovative ML techniques; construct datasets from scratch and build auto-labeling pipelines; integrate ML work into the production stack (30-40% of time).
Seniority
Principal, strategy & mentorship
