NVIDIA is seeking a Senior Scientist to enhance synthetic data generation for training large language models. This role involves contributing to the NVIDIA NeMo ecosystem and collaborating with various teams to advance multimodal data generation. The position combines software engineering with applied research in generative methods. The ideal candidate will have a strong background in machine learning and a passion for open-source development.

• 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.
• Deep technical understanding of LLMs and their training processes.
• Proven track record of developing or maintaining software libraries for a broad developer community.
• Strong publication record at premier machine learning and AI conferences.

• Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation.
• Advance multimodal synthetic data generation 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 architecture.
• Publish original research at top machine learning and AI conferences.
• Mentor interns and junior researchers to foster technical growth within the team.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.