Description
NVIDIA is hiring an engineer for its Relational Foundation Model team to design and experiment with Transformer and GNN architectures that generalize across relational schemas and heterogeneous graphs. The role involves collaborating with researchers and engineers across the machine learning lifecycle, from architecture exploration and large-scale training through post-training optimization and inference acceleration, and applying the foundation model to applications such as forecasting, entity matching, customer retention, and fraud detection. Candidates need a master’s or PhD in machine learning, computer science, or an equivalent program, Python and deep learning framework proficiency, at least eight years of research experience designing machine learning algorithm solutions, and practical experience with predictive models in real-world applications.
