Senior Scientist, Synthetic Data Generation

NVIDIA; United States; Remote; USD 168,000 - 305,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Senior Scientist to advance synthetic data generation for frontier models, contributing to the NeMo ecosystem to create datasets across text, code, structured, and multimodal data that feed LLM pre- and post-training. You will build pipelines with LLM-based methods, push multimodal data generation (image, document, video, audio), and design open-source SDKs.

Lead research publications, mentor interns, and contribute to a culture of excellence.

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent experience.
• 3+ years of experience in synthetic data generation, generative modeling, multimodal ML, or related areas.
• Strong understanding of LLMs, data shaping for pre- and post-training, and inference frameworks like vLLM or TGI.
• Proven track record of developing or maintaining software libraries used by a broad developer community.
• Excellent publication record at premier venues (NeurIPS, ICML, ICLR, ACL).

Responsibilities

• Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation.
• Advance multimodal synthetic data generation (image, document, video, audio).
• Design and maintain open-source libraries and SDKs with clean APIs and docs.
• Drive software excellence with modern tooling and CI/CD practices.
• Publish original research at top conferences to maintain technical leadership.
• Mentor interns and junior researchers to grow technically.

Skills

LLMs knowledge

Synthetic data generation

Multimodal machine learning

Software libraries

Education

PhD in Computer Science / ML

Tools

Git/CI-CD

Job description

the company is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in synthetic data generation for training frontier models. You will contribute to open-source libraries within the the company NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data, directly feeding the pre- and post-training of LLMs such as Nemotron. This role combines hands-on software engineering with applied research in generative methods, and you will collaborate with research, engineering, product, and model teams as well as external labs.

What you'll be doing:

• Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron — reasoning, coding, structured output, and multimodal understanding.
• Advance multimodal synthetic data generation — image, document, video, and audio — in partnership with the company's model teams.
• Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
• Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
• Publish original research at top machine learning and AI conferences to maintain the company's technical leadership.
• Mentor interns and junior researchers to develop technical growth within the team.

What we need to see:

• PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
• A research background of 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also considered.
• Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGI.
• Proven track record of 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.

Ways to stand out from the crowd:

• Open-source contributions in ML or data tooling.
• Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).
• Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference).
• Experience generating data for agentic, tool-use, or reinforcement-learning post-training.

the company is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 2026.This posting is for an existing vacancy.the company uses AI tools in its recruiting processes.

the company is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas