NVIDIA
Senior Scientist, Synthetic Data Generation
$168K–$305K
US, CA, Santa Clara +4 · Senior · Full-time · Posted Aug 6, 2026
- Location
- US, CA, Santa Clara
US, CO, Remote
US, CA, Remote
US, NY, New York
US, MA, Remote - Experience
- 3+ years of research in synthetic data generation, generative modeling, multimodal machine learning, or related areas; comparable experience is also considered.
- Education
- PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
About the job
Builds synthetic data generation research and software for training frontier LLMs, including multimodal datasets and open-source tools.
What you'll do
- Build LLM-based synthetic data pipelines and automated quality evaluation for model pre- and post-training.
- Advance multimodal synthetic data generation and design, maintain, and document open-source libraries and SDKs.
- Publish research, drive software excellence, and mentor interns and junior researchers.
What they ask for
- PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
- Deep understanding of LLMs, training data, and inference frameworks such as vLLM or TGI.
- Proven track record 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.
Nice to have
- Open-source contributions in ML or data tooling.
- Experience with multimodal generation or understanding, scalable data pipelines, or data generation for agentic, tool-use, or reinforcement-learning post-training.
Pay
168,000 USD - 264,500 USD base salary; 192,000 USD - 304,750 USD base salary
Tools
NVIDIA NeMo, Nemotron, vLLM, TGI, Git, CI-CD
AI focus
Research and develop synthetic data generation for LLM pre- and post-training, including reasoning, coding, structured output, and multimodal understanding across image, document, video, and audio.
Model-written summary · the original posting is authoritative