Deep Learning Research Engineer Intern

DataRobot is seeking a Deep Learning Research Engineer Intern to contribute to the development of a novel multi-target joint probabilistic foundation model. This role involves designing, implementing, and evaluating advanced neural network architectures for diverse data types and prediction tasks, with a focus on real-world impact.

• Design and implement core probabilistic foundation model architectures
• Develop PyTorch models for temporal forecasting, tabular data, and mixed modalities
• Conduct controlled experiments and analyze model performance
• Strong PyTorch and deep learning expertise required
• Experience with probabilistic modeling and Transformers preferred
• Ability to connect research ideas to production-quality code