Senior Scientist, Synthetic Data Generation
$168k - $305k • Remote • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
NVIDIA is seeking a Senior Scientist to advance synthetic data generation for training frontier models. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem, creating synthetic datasets across text, code, structured, and multimodal data to enhance LLM pre- and post-training. This role blends hands-on software engineering with applied research in generative methods, requiring collaboration with research, engineering, product, and model teams, as well as external labs. The position emphasizes driving software excellence through modern tooling and professional Git/CI-CD practices, and publishing original research to maintain technical leadership.
Responsibilities
- Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation for LLM training.
- Advance multimodal synthetic data generation for image, document, video, and audio.
- Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
- Drive software excellence with modern tooling, configuration-based architecture, and professional Git/CI-CD.
- Publish original research at top 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.
- 3+ years of research background in synthetic data generation, generative modeling, or multimodal machine learning.
- Deep technical understanding of LLMs, their training data impact, and inference frameworks like vLLM or TGI.
- Proven track record of developing or maintaining software libraries for a broad developer community.
- Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL, or similar.
Benefits
- Equity
- Benefits