**About the Role**

**About the Role**

**Uber's AI platform (Michelangelo)** , provides end-to-end infrastructure that enables ML engineers and data scientists to build, deploy, and scale machine learning solutions across all critical stages-feature engineering, distributed training, model inference, MLOps, resource management, and monitoring. The platform empowers teams to iterate quickly during development while seamlessly scaling models and data for reliable production deployment.

The ML Training team is a core pillar of Michelangelo, focused on advancing large-scale machine learning and deep learning development. The team builds and operates distributed training systems for multi-GPU/TPU environments, with emphasis on training efficiency, job scheduling, resource management, and performance optimization. Key areas include distributed training frameworks, accelerator optimization, feature transformation, ML system tooling, and MLE solution supports.
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