Pinterest has enhanced its machine learning (ML) infrastructure by extending the capabilities of Ray beyond just training and inference. By addressing challenges such as slow data pipelines and inefficient compute usage, Pinterest implemented a Ray-native ML infrastructure that improves feature development, sampling, and labeling, leading to faster, more scalable ML iteration.