Relational Foundation Model Engineer, Modern Data Stack
RemoteMunich, Bavaria, Germany or Germany
Munich, Bavaria, Germany or GermanyRemoteFull TimeSenior LevelDoctorate Or Professional DegreeEnterprise
Full TimeSenior LevelDoctorate Or Professional DegreeEnterprise
Job Summary
Design and experiment with novel Transformer and GNN architectures that generalize across diverse relational schemas. Collaborate with researchers and engineers to enhance these models for seamless operation over any relational schema and heterogeneous graph. Gain hands-on experience with high-impact use cases including forecasting, entity matching, customer retention, and fraud detection built on a single, extensible foundation model. Contribute to scalable solutions spanning the full ML lifecycle from architecture design and large-scale training to post-training optimization and inference acceleration.
Required Qualifications
- MS or PhD in Machine Learning, Computer Science, or equivalent program
- 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
Desired Qualifications
- Familiarity with graph-based machine learning
- Publications at venues such as NeurIPS, ICLR, ICML, or similar
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