Probabilistic Modeling Jobs

DataRobot is seeking a Deep Learning Research Engineer Intern to contribute to the development of a multi-target joint probabilistic foundation model. This ambitious project aims to create a single model capable of handling temporal forecasting, unordered tabular regression and classification, missing-data completion, and mixed-modality inputs and outputs, learning coherent joint structures across various dimensions. The primary focus is on generating real-world value, though strong benchmark performance is also expected. This internship offers a unique opportunity to shape the architecture of a probabilistic foundation model, working on encoders, attention mechanisms, sequence architectures, and distributional output heads. The role requires a blend of deep learning expertise, strong engineering habits, and the ability to reason precisely about model capabilities and limitations.