Principal Research Scientist, Synthetic Data Generation
Core
Define technical direction and build open-source libraries for synthetic data generation to feed pre- and post-training of large language models (LLMs) like Nemotron.
Role type
Principal Research Scientist (Synthetic Data Generation)
Builds
Open-source libraries, SDKs, and scalable data generation pipelines for text, code, structured, and multimodal data.
Domain
Artificial Intelligence / Large Language Models / Generative AI
Deliverable
production ML models
Required skills
Generative modeling, LLM training pipelines, automated quality evaluation, privacy-preserving synthesis (differential privacy), open-source library development, distributed inference optimization, academic publishing, technical mentorship
Preferred skills
Multimodal generation (vision-language, video, audio), agentic and tool-use training, reinforcement learning environment design, regulated industry data synthesis
Technologies
LLMs, vLLM, TGI, Git, CI/CD
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 and maintain open-source libraries and SDKs; Publish original research at top conferences; Mentor scientists and engineers
Seniority
Principal, strategy & mentorship
