> Markdown version of [/jobs/ext/1469736-principal-machine-learning-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/1469736-principal-machine-learning-infrastructure-engineer). 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). --- # Principal Machine Learning Infrastructure Engineer - **Company:** Roblox - **Location:** San Mateo, CA, United States - **Experience:** Experienced - **Salary:** $293,800.0 - $343,340.0 - **Contract:** Permanent contract - **Skills:** Machine Learning, Azure Machine Learning, Feature Engineering, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** July 28, 2026 - **Apply:** https://careers.roblox.com/jobs/7351202?gh_jid=7351202 ## About the Role * 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. ## 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). * 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. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [What is relational learning and why does it matter?](https://www.wearedevelopers.com/videos/396-what-is-relational-learning-and-why-does-it-matter) - [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) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [How computers learn to see – Applying AI to industry](https://www.wearedevelopers.com/videos/756-how-computers-learn-to-see-applying-ai-to-industry) ## 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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)