Senior Multimodal AI Scientist — LLMs & Agentic Reasoning

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Job summary

NVIDIA seeks a Senior Deep Learning Scientist to advance multimodal AI in the Nemotron LLM team. You will prototype, train, and deploy advanced neural networks for language processing, audio-visual reasoning, and tool usage in agentic systems.

You will work on foundational models, RLHF/RLVR, and benchmarking datasets, collaborating with a world-class team to push state-of-the-art AI that scales across products and platforms.

Qualifications

• Master’s degree (or PhD) in Computer Science, AI or Applied Math with 8+ years of experience.
• Proficient in Python with strong PyTorch foundations.

Responsibilities

• Apply research to develop, train, fine-tune, and deploy neural networks for language processing in agentic systems.
• Advance post-training methods including instruction tuning, RLHF/RLVR for multimodal agents.
• Research agentic reasoning and grounded perception for planning and long-horizon tasks.
• Lead collection and benchmarking of multimodal datasets with high-quality evaluation.

Skills

Python programming

PyTorch

Transformers

Reinforcement learning

Multimodal modeling

Experiment design

Education

Master’s or PhD in CS/AI/Applied Math

Tools

Experiment tracking tools

Dataset versioning tools

Job description

NVIDIA seeks a Senior Deep Learning Scientist to advance multimodal AI in the Nemotron LLM team. You will prototype, train, and deploy advanced neural networks for language processing, audio-visual reasoning, and tool usage in agentic systems.

You will work on foundational models, RLHF/RLVR, and benchmarking datasets, collaborating with a world-class team to push state-of-the-art AI that scales across products and platforms.