Senior Scientist in Synthetic Data

Job Summary

To advance capabilities in synthetic data generation for training frontier models, the full-time Senior Scientist in Synthetic Data will build pipelines using LLM-based methods, collaborate with various teams, and contribute to open-source libraries in a remote or onsite environment.

Key responsibilities

• Build synthetic data generation pipelines to enhance the training of LLMs, focusing on reasoning, coding, and multimodal understanding
• Advance multimodal synthetic data generation in collaboration with NVIDIA's model teams
• Design and maintain open-source libraries and SDKs, ensuring clean APIs and comprehensive documentation

Required qualifications

• PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience
• 3+ years of research experience in synthetic data generation, generative modeling, or multimodal machine learning
• Deep technical understanding of LLMs and their data requirements for training and inference
• Proven track record of developing or maintaining widely-used software libraries
• Strong publication record at major machine learning and AI conferences