Principal Research Scientist-Synthetic Data & LLM Pipelines

NVIDIA AI

New York (NY)

On-site

USD 272,000 - 431,000

Full time

42 hours ago
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Job summary

NVIDIA is seeking a Principal Scientist to set the technical direction for synthetic data generation across its frontier model efforts. You will define and build open-source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets for text, code, structured, and multimodal data, feeding pre- and post-training of LLMs such as Nemotron.

You will lead hands-on software engineering and applied research, collaborating with research, engineering, product, and model teams as well as

Qualifications

  • PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent experience.
  • 15+ years of engineering and research in synthetic data generation, generative modeling, multimodal ML, or related areas.
  • Deep technical understanding of LLMs and data shaping pre-training, post-training, and RL stages.
  • 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.
  • Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.

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 and RL environments.
  • Advance multimodal synthetic data generation across image, document, video, and audio.
  • Advance privacy-preserving and safe synthesis for regulated domains.
  • Develop and maintain open-source libraries and SDKs with clean APIs and documentation.
  • Drive software excellence with modern tooling and CI/CD practices.
  • Publish original research at top conferences to maintain NVIDIA's leadership.
  • Mentor scientists and engineers to raise technical bar.

Skills

LLM understanding
Pipeline development
Multimodal ML
Publication track record
Mentoring
Open-source

Education

PhD or equivalent

Tools

vLLM
TGI
NeMo

Job description

NVIDIA is seeking a Principal Scientist to set the technical direction for synthetic data generation across its frontier model efforts. You will define and build open-source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets for text, code, structured, and multimodal data, feeding pre- and post-training of LLMs such as Nemotron.

You will lead hands-on software engineering and applied research, collaborating with research, engineering, product, and model teams as well as

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