[Remote] Senior Scientist, Synthetic Data Generation

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 advance capabilities in synthetic data generation for training frontier models. The role involves building synthetic data generation pipelines, advancing multimodal synthetic data generation, and collaborating with various teams to contribute to open-source libraries within the NVIDIA NeMo ecosystem.ResponsibilitiesBuild synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron — reasoning, coding, structured output, and multimodal understandingAdvance multimodal synthetic data generation — image, document, video, and audio — in partnership with NVIDIA's model teamsDesign 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 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also consideredDeep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGIProven 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 similarOpen-source contributions in ML or data toolingExperience with multimodal generation or understanding (vision-language, document AI, video, or audio)Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference)Experience generating data for agentic, tool-use, or reinforcement-learning post-trainingBenefitsYou 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.