Associate Applied AI - Deep Learning/Time Series

The Associate Applied AI - Deep Learning/Time Series role at Goldman Sachs involves designing, training, and evaluating deep learning models for financial time series data. This individual contributor position requires expertise in modern deep learning architectures, time series specialization, and large-scale model training. The role focuses on advancing sequence modeling and probabilistic forecasting for financial data, delivering research as a firmwide platform for quantitative researchers and engineering teams.