Principal Scientist, Open-Source Synthetic Data for LLMs

NVIDIA Gruppe; Santa Clara (CA); 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 our 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, feeding the pre- and post-training of LLMs such as Nemotron.

The role blends hands-on software engineering with applied research, mentoring teams, publishing at top ML venues, and partnering with

Qualifications

• PhD or equivalent in CS/ML/Stats or related field.
• 15+ years in synthetic data generation, generative modeling, multimodal ML.
• Proven track record of developing or maintaining libraries used by a broad developer community.

Responsibilities

• Build and scale data generation pipelines using LLM-based methods.
• Advance multimodal synthetic data generation across image, document, video, and audio.
• Publish original research at top ML conferences.
• Mentor scientists and engineers on the team.

Skills

Deep technical understanding of LLMs

Proven track record of developing or维护

Education

PhD in Computer Science, Machine Learning, Statistics, or related field

Tools

vLLM

TGI

Job description

NVIDIA is seeking a Principal Scientist to set the technical direction for synthetic data generation across our 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, feeding the pre- and post-training of LLMs such as Nemotron.

The role blends hands-on software engineering with applied research, mentoring teams, publishing at top ML venues, and partnering with