Relational Foundation Model Engineer, Modern Data Stack

🕒 July 16

🌐 Germany, United Kingdom, +2 more countries – Remote

🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote 🇨🇭 Switzerland – Remote 🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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. • You will contribute to our next generation of the Relational Foundation Model.

🎯 Requirements

• MS or PhD in Machine Learning, Computer Science, or equivalent program • Proficiency in Python and deep learning frameworks, such as PyTorch • At least 8 years of research experience in designing ML algorithm solutions • Practical experience in using Predictive Models in Real World Applications • Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, ICML, or similar

🏖️ Benefits

• Health insurance • Flexible working hours • Professional development opportunities