NVIDIA
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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.
Relational Foundation Model Engineer, Modern Data Stack
đ July 16
đ Germany, United Kingdom, +2 more countries â Remote
â° Full Time
đ Senior
đ´ Lead
đˇđťââď¸ Engineer
đť Ghost score 40%
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NVIDIA
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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.
đ Description
⢠Collaborate with researchers/engineers to enhance Transformer and GNN-based models over relational schemas and heterogeneous graphs ⢠Gain hands-on experience with forecasting, entity matching, customer retention, and fraud detection use cases ⢠Apply ML and AI knowledge to solve real-world challenges and develop scalable, adaptable solutions ⢠Contribute across the ML systems lifecycle, including architecture design, training, post-training optimization, and inference acceleration ⢠Contribute to the next generation of the Relational Foundation Model
đŻ 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
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