Engineering Manager, Machine Learning Infrastructure, Ads

Overview

Lead a team of ML infrastructure engineers to build scalable, reliable, high-performance infrastructure powering machine learning systems for Roblox Ads.

What you'll do

• 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 and establish engineering best practices for scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
• 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.
• Recruit, mentor, and grow a high-performing team of ML infrastructure engineers.

What you'll need

• 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 have 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.
• BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.

Details

• Location: San Mateo, CA, United States (headquarters).
• Roles based in the office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
• Annual base salary range: $295,250 – $345,040 USD. Actual base pay depends on factors such as professional background, training, work experience, location, business needs and market demand. All full-time employees are also eligible for equity compensation and benefits.
• For US-based roles only: the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.