Engineering Manager, Machine Learning Infrastructure, Ads

Roblox Roblox · Consumer · San Mateo, CA · Software Engineering

Roblox is seeking an Engineering Manager for Machine Learning Infrastructure, Ads. This role will lead a team responsible for building and scaling ML infrastructure for their ads business, covering model training, data pipelines, feature engineering, and model inference. The ideal candidate has experience managing ML infrastructure engineers and a strong background in end-to-end ML system development in production.

What you'd actually do

  1. Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference.
  2. Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
  3. Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment.
  4. Recruit, mentor, and grow a high-performing team of ML infrastructure engineers.

Skills

Required

  • 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
  • 2+ years of experience managing ML infrastructure engineers
  • End-to-End Execution: You’ve built ML systems from data ingestion to serving in production.
  • Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.

What the JD emphasized

  • large-scale machine learning systems in production environments
  • End-to-End Execution: You’ve built ML systems from data ingestion to serving in production.

Other signals

  • ML infrastructure
  • large scale ads machine learning infrastructure
  • model training, data pipelines, feature engineering and model inference
  • scalability, reliability, and cost-effectiveness of ML infrastructure