Senior Scientist, Synthetic Data and Privacy

Job description

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in generating synthetic datasets and privacy-preserving AI. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that enable high-quality synthetic data generation at scale while ensuring data privacy. This role combines hands-on software engineering with research in privacy-enhancing methods, and you will collaborate with research, engineering, product teams, and external labs. What you'll be doing: Build and implement advanced pipelines for generating synthetic datasets using innovative LLM-based methodologies and automated quality evaluation frameworks. Research and implement privacy-preserving techniques such as differentially private training (DP-SGD), identifying and replacing sensitive information via NER models, and membership inference protection. Design and maintain open-source software libraries and SDKs with clean APIs and developer-facing documentation, applying robust software design patterns. Drive software excellence through modern developmen...