Relational Foundation Model Engineer, Modern Data Stack — NVIDIA (ufficio Zurich)
NewCHF 73'500 - 111'500
NVIDIA (ufficio Zurich) · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- Yesterday
SalaryCHF 73'500 - 111'500
Role overview
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.
- 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.
Application process
- Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — all powered by one extensible model.
- You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-scale training to post-training optimization and inference acceleration.
- This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack.
- If you’re excited about graph learning, relational reasoning, and building AI systems that go far beyond single-table benchmarks, this is the team for you. What you’ll be doing:
- 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.
Additional details
- If you’re excited about graph learning, relational reasoning, 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 the Relational Foundation Model. What we need to see:
- Practical experience in using Predictive Models in Real World Applications Ways to stand out from the crowd:
Notes and original content
- If you’re excited about graph learning, relational reasoning, 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 the Relational Foundation Model.
- What we need to see:
- Practical experience in using Predictive Models in Real World Applications
- Ways to stand out from the crowd:
