NVIDIA
SeniorAppliedDeepLearningScientist-LargeVisionLanguageModels
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“Senior Applied Deep Learning Scientist - Large Vision Language Models at NVIDIA. Skills: Deep Learning, Large Language Models, Multimodal Models. Push boundaries of NVIDIA Nemotron Omni models. Enable powerful downstream applications”
What You'll Achieve.
Deliver tangible impact; Solve real-world problems; Turn research into reality
Industry & Context.
Solving real-world problems
What They're Looking For.
Must Have
M. Sc. or Ph. D., 10+ years of industry experience, understanding of LLMs/VLMs, Solid hands-on coding skills, experience with multi-GPU training, fluency with Docker, Linux systems expertise
Nice to Have
Ph. D. in Computer science, Contributions to open-source LLM systems, Previous AI-related projects, academic track record of publications
What You'll Do.
Push boundaries of NVIDIA Nemotron Omni models
Enable powerful downstream applications
Prepare large-scale multimodal datasets
Train cutting-edge foundation models
Develop robust data processing pipelines
Curate high-quality training data
Augment training data
Synthetically generate labels
Provide infrastructure to load data
Provide infrastructure to serve data
Collaborate globally with team members
Collaborate with researchers
Collaborate with developers
How You'll Work.
Team & Collaboration
Globally with team members; With researchers; With developers; AI startups
Full Job Description
We are looking for a highly motivated Senior Applied Deep Learning Scientist with a passion for multimodal language models. Join our world-class NVIDIA team, spanning Finland, Germany, the Netherlands, and the USA, behind pioneering work such as [_Megatron-Energon_](https://github.com/NVIDIA/Megatron-Energon) , [_Nemotron 3 Nano Omni_](https://developer.nvidia.com/blog/nvidia-nemotron-3-nano-omni-powers-multimodal-agent-reasoning-in-a-single-efficient-open-model/) and our latest [_post-training datasets_](https://huggingface.co/datasets/nvidia/Nemotron-Image-Training-v3)! As a core contributor to NVIDIA’s Nemotron multimodal initiative, we are pushing the frontiers of state-of-the-art open-source multimodal models. We have a unique perspective in that we strive for open models, open weights, open data. Our mission is straightforward: create models that perform exceptionally in real-world applications right out of the box, while empowering and advancing the broader multimodal LLM ecosystem. As an applied research group, we prioritize delivering tangible impact and solving real-world problems. We’re most excited when deep learning moves beyond theory into production at scale. If you share a pragmatic, delivery-focused perspective and care about turning research into reality, this team will feel like the right home! **What you will be doing:** * Push the boundaries of the NVIDIA Nemotron Omni family of models to enable powerful downstream applications, including document intelligence, mathematical reasoning, multi-turn multimodal dialogue systems, and advanced software & agentic assistants. The role spans the full pipeline, from pre-training through post-training. * Help us prepare large-scale multimodal datasets to train cutting-edge foundation models across text, image, audio and video. This includes developing robust data processing pipelines to curate high-quality training data, augmenting it, synthetically generating labels and providing the infrastructure to load
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