Relational Foundation Model Engineer, Modern Data Stack

Responsibilities

• Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
• Gain hands-on experience with high-impact use cases such as forecasting, entity matching, customer retention and fraud detection – all built on top of a single, extensible foundation model.
• Leverage your knowledge in ML and AI to tackle real challenges while contributing to scalable and adaptable solutions that push the boundaries of what’s possible.
• Work may span the full lifecycle of modern ML systems: from architecture design/training to post-training optimization and inference acceleration.
• You will contribute to our next generation of the Relational Foundation Model.
• What we need to see
• MS or PhD in Machine Learning, Computer Science, or equivalent experience
• Proficiency in Python and deep learning frameworks, such as PyTorch
• At least 8 years of research experience in designing ML algorithm solutions
• Practical experience in using Predictive Models in Real World Applications

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