Structured Data Foundation Model Engineer, Modern Data Stack
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Job Description
Structured Data Foundation Model Engineer developing unified AI models for databases, graphs, tabular data, and time series at NVIDIA. Advancing architectures, benchmarks, training, and inference for real-world applications.
Responsibilities:
- Contribute to the next generation of structured data foundation models
- Collaborate with researchers and engineers to enhance foundation models over relational schemas, heterogeneous graphs, tabular data, and time series
- Design and run benchmarks evaluating generalization across structured data domains
- Use benchmark results to drive model improvements
- Apply ML and AI knowledge to real-world challenges and contribute to scalable, adaptable solutions
- Work across the full lifecycle of modern ML systems, from architecture design and training to post-training optimization and inference acceleration
Requirements:
- MS or PhD in Machine Learning, Computer Science, or equivalent program
- Proficiency in Python and PyTorch
- At least 5 years of research experience in designing ML algorithm solutions
- Practical experience in using Predictive Models in Real World Applications
- Experience with time series forecasting, tabular, or relational foundation models, including pretraining, fine-tuning, or benchmarking
- Familiarity with graph-based machine learning
- Publications at venues such as NeurIPS, ICLR, ICML, KDD, or similar
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