Principal Research Scientist, Synthetic Data Generation
Core
Define technical direction and build open-source libraries for synthetic data generation (text, code, structured, multimodal) to feed pre- and post-training of frontier LLMs like Nemotron.
Role type
Principal Research Scientist (Synthetic Data Generation)
Builds
Open-source libraries, SDKs, and scalable data generation pipelines for LLM training.
Domain
Artificial Intelligence / Large Language Models / Generative AI
Deliverable
production ML models
Required skills
LLMs, generative modeling, multimodal machine learning, data pipeline optimization, software library development, reinforcement learning, differential privacy, distributed inference, Git/CI-CD.
Preferred skills
Open-source community contributions, agentic/tool-use data generation, RL environment design, regulated industry data synthesis.
Responsibilities
Build and scale data generation pipelines using LLM-based methods; pioneer data generation for agentic and tool-use training; advance multimodal synthetic data generation; develop privacy-preserving synthesis techniques; develop and maintain open-source libraries and SDKs; publish original research at top conferences; mentor scientists and engineers.
Seniority
Principal, strategy & mentorship
