Principal Machine Learning Infrastructure Engineer, Ads

Roblox • San Mateo, CA

14d

About The Position

With Roblox Ads business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users, and more business values to our advertisers. As a Principal TLM, you’ll lead the Ads ML Infra team, build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You will: Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference. Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). Mentor and grow a team of machine learning infrastructure engineers, setting strong technical standards and fostering a culture of collaboration and learning. 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. Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices.

Requirements

• 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
• 3+ years of experience tech leading ML infrastructure engineers
• Strong communication skills and a collaborative approach to problem solving.
• BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.

Responsibilities

• Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference.
• Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
• Mentor and grow a team of machine learning infrastructure engineers, setting strong technical standards and fostering a culture of collaboration and learning.
• 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.
• Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees