Structured Data Foundation Model Engineer, Modern Data Stack

NVIDIA Corporation; France; On-site; EUR 110,000 - 170,000; Full time

Job summary

NVIDIA Corporation in France is seeking a seasoned ML researcher to contribute to the next generation of structured data foundation models. You will collaborate with researchers and engineers to advance models over relational schemas, graphs, tabular data and time series, and design benchmarks to evaluate generalization and drive improvements.

This role covers the full ML lifecycle from architecture design and training to post-training optimization and inference acceleration, with a focus on

Qualifications

• MS or PhD in ML, CS 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.

Responsibilities

• Contribute to our next generation of structured data foundation models.
• Collaborate with researchers/engineers to enhance foundation models over relational schemas, heterogeneous graphs, tabular data, and time series.
• Design and run benchmarks that evaluate generalization across structured data domains, driving model improvements.
• Leverage ML/AI knowledge to tackle real challenges with scalable and adaptable solutions.
• Work across the full lifecycle of modern ML systems: architecture design/training to post-training optimization and inference acceleration.

Skills

Python

PyTorch

ML research

Time series forecasting

Education

MS or PhD in Machine Learning or Computer Science

Tools

Chronos

TimesFM

TabICL

TabPFN

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us!

If you're excited about relational learning, tabular modeling, time series, and building AI systems that go far beyond single-table benchmarks, this is the team for you.

What You'll Be Doing

• You will contribute to our next generation of structured data foundation models.
• Collaborate with researchers/engineers to enhance our foundation models to operate over relational schemas, heterogeneous graphs, tabular data, and time series.
• Design and run benchmarks that evaluate generalization across structured data domains, and use the results to drive model improvements.
• 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.

What We Need To See

• 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

Ways To Stand Out From The Crowd

• Experience with time series forecasting, tabular, or relational foundation models (e.g., Chronos, TimesFM, TabICL, TabPFN, or similar), including pretraining, fine-tuning, or benchmarking
• Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, ICML, KDD, or similar

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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