ML workflows

You build the pipeline that takes the firm's machine learning models from research into daily use, tracking the data, training runs and versions at each step. Machine learning is a way of writing software that learns patterns from data rather than following rules set by hand.

The firm's quantitative researchers build such models to forecast markets. The ML Workflows team builds the shared machinery they use to train, store, release and watch those models. Where ready made tools fall short, you write your own.