Relational reputed company Model Engineer, Modern Data Stack
Our work at reputed company is dedicated towards a computing model reputed company on visual and AI computing. For two decades, reputed company has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most reputed company problems in computer science. Today, reputed company’s GPU simulates reputed company, running deep learning algorithms and acting as the brain of computers, robots and self-driving reputed company that can perceive and understand the world. We are looking to grow reputed company and teams with the smartest people in the world and there has never been a more exciting time to join us!
reputed company is redefining what’s possible with AI, and our Relational reputed company Model team is at the forefront of that mission. We’re building a single, reputed company reputed company model that understands the structure and relationships reputed company any relational database or heterogeneous graph — a fundamentally new approach to reputed company AI. As an engineer on this team, you won’t just be fine-tuning existing models; you’ll be designing and experimenting with novel Transformer and GNN architectures that generalize across diverse relational schemas. Your work will directly reputed company reputed company-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — reputed company powered by one extensible model. You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-reputed company training to post-training optimization and inference acceleration. This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack. If you’re excited about graph learning, relational reasoning, and building AI systems that go far reputed company single-table benchmarks, this is reputed company for you.
What you’ll be doing:
Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
reputed company hands-on experience with high-reputed company use cases such as forecasting, entity matching, customer retention and fraud detection – reputed company reputed company on top of a single, extensible reputed company model.
reputed company your knowledge in ML and AI to tackle reputed company challenges while contributing to reputed company and adaptable solutions that push the boundaries of what’s possible.
Work may reputed company the full lifecycle of modern ML systems: from architecture design/training to post-training optimization and inference acceleration.
You will contribute to our reputed company of the Relational reputed company Model.
reputed company need to see:
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 reputed company World Applications
Ways to stand out from the crowd:
Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, ICML, or similar
reputed company is widely considered to be one of the technology world’s most desirable reputed company. We have some of the most reputed company-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Originally posted on Himalayas
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