Abstract: A method for feature selection includes (i) obtaining a description of a use case for a machine learning model and metadata relating to a set of source data for the machine learning model, (ii) producing, using a feature engineering model, one or more views of the set of source data for the machine learning model, (iii) creating a plurality of candidate features based at least in part on the one or more views, (iv) assessing relevance of the plurality of candidate features to the use case by a semantic relevance model, and (v) adding one or more features selected from the plurality of candidate features to a feature set for the use case for the machine learning model based on the relevance of the one or more candidate features to the use case as assessed by the semantic relevance model.