NVIDIA
NVIDIA(https://himalayas.app/companies/nvidia) is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Principal Scientist to set the technical direction for synthetic data generation across NVIDIA(https://himalayas.app/companies/nvidia)'s frontier model efforts. You will define and build open-source libraries within the NVIDIA(https://himalayas.app/companies/nvidia) NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data, 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 and scale data generation pipelines using LLM-based methods combined with automated quality evaluation. resulting in datasets to improve both initial training and fine-tuning of LLMs such as Nemotron. These data pipelines cover reasoning, coding, structured output, and multimodal understanding. Pioneer data generation for agentic and tool-use training: synthetic trajectories, multi-turn interactions, function calling, and executable environments for reinforcement learning, including reward modeling and verifiable-reward data Advance multimodal synthetic data generation — image, document, video, and audio — in partnership with NVIDIA(https://himalayas.app/companies/nvidia)'s model teams. Advance privacy-preserving and safe synthesis — differential privacy, anonymization, and de-identification — enabling model training on sensitive data in regulated domains. Develop 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 NVIDIA(https:/ …t…
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