Relational Foundation AI Engineer: Graph & Transformer Innovator

NVIDIA; Schweiz; Vor Ort; EUR 105.087 - 175.146; Vollzeit

Zusammenfassung

NVIDIA's Relational Foundation Model team is seeking an experienced ML researcher to design and experiment with Transformer and GNN architectures that work over relational schemas and heterogeneous graphs. You will push the core modeling capabilities from research to production, collaborating with researchers and engineers across the ML lifecycle.

Ideal candidates hold an MS or PhD in ML or CS, have strong Python and PyTorch skills, and at least 8 years of research experience applying predictive

Qualifikationen

• MS or PhD in Machine Learning, Computer Science, or equivalent program.
• Proficiency in Python and PyTorch.
• At least 8 years of research experience in ML algorithm design.
• Practical experience applying predictive models to real-world problems.

Aufgaben

• Design Transformer and GNN models that operate on relational schemas and graphs.
• Collaborate with researchers and engineers across the ML lifecycle.
• Prototype, train, and evaluate models on real-world use cases.
• Work toward production deployment and inference acceleration.

Kenntnisse

Python

PyTorch

Machine Learning

Research experience

Ausbildung

MS or PhD in ML/CS

Jobbeschreibung

NVIDIA's Relational Foundation Model team is seeking an experienced ML researcher to design and experiment with Transformer and GNN architectures that work over relational schemas and heterogeneous graphs. You will push the core modeling capabilities from research to production, collaborating with researchers and engineers across the ML lifecycle.

Ideal candidates hold an MS or PhD in ML or CS, have strong Python and PyTorch skills, and at least 8 years of research experience applying predictive