> Markdown version of [/jobs/ext/3124588-engineering-manager-machine-learning-infrastructure-ads-new](https://www.wearedevelopers.com/jobs/ext/3124588-engineering-manager-machine-learning-infrastructure-ads-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, Machine Learning Infrastructure, Ads New - **Company:** Roblox - **Location:** San Mateo, CA, United States - **Experience:** Expert - **Salary:** $295,250.0 - $345,040.0 - **Contract:** Permanent contract - **Skills:** Machine Learning, Azure Machine Learning, Feature Engineering, Data Ingestion, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** September 28, 2026 - **Apply:** https://www.gamesjobsdirect.com/job/roblox/engineering-manager-machine-learning-infrastructure-ads/360285 ## About the Role + 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. + BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience. ## Description * 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). * 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. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [When React Meets Reality: Building a Real-Time Control Room for Autonomous Vehicles](https://www.wearedevelopers.com/videos/2091-when-react-meets-reality-building-a-real-time-control-room-for-autonomous-vehicles) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)