Senior Scientist, Synthetic Data Generation

Details

NVIDIA is seeking a Senior Scientist to advance synthetic data generation for training frontier models. The role combines hands-on software engineering with applied research in generative methods. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem, generating synthetic datasets across text, code, structured, and multimodal data for the pre- and post-training of large language models such as Nemotron. You will collaborate with research, engineering, product, and model teams, as well as external labs.

Responsibilities

• Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation for reasoning, coding, structured output, and multimodal understanding.
• Advance multimodal synthetic data generation for images, documents, video, and audio in partnership with NVIDIA's model teams.
• Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
• Drive software excellence through modern tooling, configuration-based architecture, and professional Git and CI/CD practices.
• Publish original research at leading machine learning and AI conferences.
• Mentor interns and junior researchers.

Requirements

• PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
• At least 3 years of research experience in synthetic data generation, generative modeling, multimodal machine learning, or related areas; comparable experience is also considered.
• Deep technical understanding of LLMs, the role of data in pre-training and post-training, and inference frameworks such as vLLM or TGI.
• Proven experience developing or maintaining software libraries used by a broad developer community.
• Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL, or similar.

Preferred Qualifications

• Open-source contributions in machine learning or data tooling.
• Experience with multimodal generation or understanding, including vision-language, document AI, video, or audio.
• Experience building and optimizing scalable data pipelines for large-scale model training, including throughput and distributed inference optimization.
• Experience generating data for agentic systems, tool use, or reinforcement-learning post-training.

Benefits

• Equity and benefits are provided.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until August 10, 2026. The posting is for an existing vacancy.