Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures for a unified relational foundation model that understands relationships in any relational database or heterogeneous graph. Collaborate across the ML lifecycle—from architecture exploration and large-scale training to post-training optimization and inference acceleration—supporting production use cases like forecasting, entity matching, fraud detection, and predictive maintenance.