Roblox
Engineering Manager, Machine Learning Infrastructure, Ads
$295K–$345K
San Mateo, CA, United States · Manager · Full-time · Posted Jul 28, 2026
- Experience
- 5+ years in large-scale production ML systems; 2+ years managing ML infrastructure engineers.
- Education
- BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.
- Visa sponsorship
- For US-based roles, Roblox may not be able to employ candidates whose work authorization relates to certain U.S. visa categories, or support future H-1B sponsorship at this time.
About the job
Leads a team building and operating scalable machine learning infrastructure for Roblox’s performance ads, including systems for training, data pipelines, feature engineering, and inference.
What you'll do
- Set strategy and execute roadmaps for production ML systems and infrastructure.
- Own ML infrastructure architecture and engineering practices for scalability, reliability, and cost-effectiveness; collaborate with partner teams to build and operate ML platforms.
- Recruit, mentor, and grow a team of ML infrastructure engineers.
What they ask for
- 5+ years designing, building, and deploying large-scale machine learning systems in production.
- 2+ years managing ML infrastructure engineers.
- Experience building ML systems end-to-end, from data ingestion through production serving.
- BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.
Pay
$295,250 — $345,040 USD (base salary)
AI focus
Build infrastructure for ML systems powering performance ads, spanning model training, data pipelines, feature engineering, and model inference.
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