Structured Data Foundation Model Engineer, Modern Data Stack

🔥 1 minute ago

🌐 Germany, France – Remote

🇩🇪 Germany – Remote 🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 11%

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

• Contribute to the next generation of structured data foundation models • Collaborate with researchers and engineers to enhance foundation models over relational schemas, heterogeneous graphs, tabular data, and time series • Design and run benchmarks evaluating generalization across structured data domains • Use benchmark results to drive model improvements • Apply ML and AI knowledge to real-world challenges and contribute to scalable, adaptable solutions • Work across the full lifecycle of modern ML systems, from architecture design and training to post-training optimization and inference acceleration

🎯 Requirements

• 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 • Experience with time series forecasting, tabular, or relational foundation models, including pretraining, fine-tuning, or benchmarking • Familiarity with graph-based machine learning • Publications at venues such as NeurIPS, ICLR, ICML, KDD, or similar