3 machine learning jobs found in Santa Clara, CA

NVIDIA is looking for a dedicated Machine Learning Engineer specializing in LLM training datasets engineering. This is a highly technical role requiring deep expertise in machine learning, data science and data engineering to develop innovative solutions that address the unique challenges of training foundation models. This role involves addressing innovative machine learning challenges through building and improving our data ecosystem. What you'll be doing: Develop datasets for LLM pre-training and post training (fine-tuning and reinforcement learning), optimize models and evaluate performance. Design and implement data strategies for model training and evaluation that includes data collection, cleaning, labeling, augmentation, RL verifier datasets to improve model performance. Actively identify and manage data issues such as outliers, noise, and biases. Generate high-quality synthetic data to augment existing datasets, especially for...

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? Our team is building an innovative Data Platform that employs advanced analytics, including prescriptive modeling and constrained optimization, for real-time routing and scheduling at scale. This platform encompasses data collection, processing, visualization, analysis, anomaly detection, root cause identification, and predictive modeling. Our data includes GPU...

NVIDIA needs a Senior Product Manager to drive NVIDIA's data strategy for generative AI, with a focus on synthetic and curated data for large language and visual models. In this role, you will craft the future of how data is built, refined, and deployed to advance frontier AI models. Working at the intersection of product, research, and engineering, you will craft and lead end-to-end data pipelines that are critical to safe, effective, and scalable GenAI systems. NVIDIA is committed to public data release, where your work will be prominently featured. This is a high-impact position that requires a rare mix of deep technical understanding, product intuition, and cross-functional leadership. What you’ll be doing: Lead the generative data roadmap—define and evolve our strategy for synthetic, curated, and real-world data used to train, fine-tune, and evaluate large-scale AI systems for a specific modality or model type. Craft and lead data pipelines...