Closely collaborate with research scientists to turn new research ideas into well-engineered experiments, ensuring efficiency and reproducibility. Improve model training pipelines by debugging distributed training and optimizing data loading. Optimize performance by profiling and accelerating existing training and inference code. Integrate models into production environments, working directly with platform and product teams. Incorporate state-of-the-art research and maintain a high-quality codebase.