Senior Scientist - Synthetic Data & Multimodal AI (Remote)

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 192,000 - 305,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation 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 that generate synthetic datasets across text, code, structured, and multimodal data, feeding pre- and post-training of LLMs such as Nemotron.

The role blends hands-on software engineering with applied research, collaborating with research, engineering, product, model teams and external labs.

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
• 3+ years experience in synthetic data generation, generative modeling, multimodal ML, or related areas.
• Deep technical understanding of LLMs, data shaping for pre- and post-training, 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.
• Open-source contributions in ML or data tooling.

Responsibilities

• Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation.
• Advance multimodal synthetic data generation—image, document, video, and audio—in partnership with NVIDIA's model teams.
• Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
• Drive software excellence with modern tooling and CI/CD pipelines.
• Publish original research at top ML/AI conferences to maintain NVIDIA's technical leadership.
• Mentor interns and junior researchers to develop technical growth within the team.

Skills

LLMs knowledge

Generative modeling

Multimodal ML

Publications

Open-source contributions

Software libraries

Education

PhD in CS or related field

Tools

vLLM

TGI

Job description

NVIDIA Corporation 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 that generate synthetic datasets across text, code, structured, and multimodal data, feeding pre- and post-training of LLMs such as Nemotron.

The role blends hands-on software engineering with applied research, collaborating with research, engineering, product, model teams and external labs.