[Remote] Senior Scientist, Synthetic Data and Privacy

Note: The job is a remote job and is open to candidates in USA. NVIDIA is at the forefront of the AI revolution, and they are seeking a Senior Scientist to join their team to advance capabilities in generating synthetic data and privacy-preserving AI. The role involves contributing to open-source libraries within the NVIDIA NeMo ecosystem and combines hands-on software engineering with applied research in LLMs and privacy-enhancing methods.ResponsibilitiesBuild LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal contentOptimize task-specific LLMs for low-latency, high-throughput inference (distillation, quantization), and scale our frameworks to run in real timeDesign and maintain open-source libraries and SDKs with clean APIs and strong documentationDrive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CDPublish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadershipMentor interns and junior researchers to develop technical growth within the teamSkillsPhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experienceA research background of 2+ years in applied LLM/NLP research and engineering, synthetic data generation, anonymization and PII detection, or related areas. Comparable experience is also consideredProven track record of developing or maintaining software libraries used by a broad developer communityStrong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similarActive contributions to open-source projects, particularly in ML, security, or privacy domainsDeep technical understanding of LLMs and inference optimization (quantization, distillation, latency/throughput tuning), with frameworks such as vLLM or TGIAbility to build and optimize scalable data processing pipelines for large-scale modelsFunctional knowledge of global privacy regulations such as GDPR or CCPABenefitsYou will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).Company OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.