Principal Scientist: Synthetic Data for Multimodal LLMs

NVIDIA; California (MO); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Principal Scientist to set the technical direction for synthetic data generation across frontier model efforts. You will define and build open‑source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data to feed LLM pretraining and fine‑tuning.

This role combines hands‑on software engineering with applied research in generative methods.

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent experience.
• 15+ years of engineering and research experience in synthetic data generation, generative modeling, multimodal ML, or related areas.
• Deep technical understanding of LLMs, data shaping pre-/post-training and RL stages, and inference frameworks such as vLLM or TGI.
• Proven track record of developing or maintaining software libraries used by a broad developer community.
• Experience building and optimizing scalable data pipelines for large-scale model training - throughput, distributed inference, and cost at cluster scale.
• Strong publication record at premier venues (NeurIPS, ICML, ICLR, ACL).

Responsibilities

• Build and scale data generation pipelines using LLM-based methods with automated quality evaluation.
• Pioneer data generation for agentic and tool-use training: synthetic trajectories, multi-turn interactions, function calling, RL environments.
• Advance multimodal synthetic data generation across image, document, video, and audio.
• Advance privacy-preserving and safe synthesis—differential privacy, anonymization, de-identification.
• Develop and maintain open-source libraries and SDKs with clean APIs and documentation.
• Drive software excellence with modern tooling and Git/CI-CD.
• Publish original research at top ML/AI conferences.
• Mentor scientists and engineers across the team.

Skills

LLM understanding

Data pipelines

Open-source libraries

Publications

Mentoring

Education

PhD in CS/ML

Tools

vLLM

TGI

Git/CI‑CD

Job description

NVIDIA is seeking a Principal Scientist to set the technical direction for synthetic data generation across frontier model efforts. You will define and build open‑source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data to feed LLM pretraining and fine‑tuning.

This role combines hands‑on software engineering with applied research in generative methods.