Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is seeking a machine learning engineer to design and optimize Transformer and Graph Neural Network architectures for a unified foundation model that reasons about relationships in relational databases and heterogeneous graphs. This role suits researchers and practitioners with strong foundations in ML who want to work on both cutting-edge architectures and real-world production systems spanning fraud detection, forecasting, and recommendation applications.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- MS or PhD in Machine Learning, Computer Science, or equivalent
- Proficiency in Python and deep learning frameworks like PyTorch
- At least 8 years of research experience designing ML algorithm solutions
- Practical experience applying predictive models to real-world applications
Nice to have
- Familiarity with graph-based machine learning
- Publications at top ML venues such as NeurIPS, ICLR, ICML or similar