Senior Multimodal AI Scientist — Agentic RL, Equity

NVIDIA; California; Presencial; USD 184.000 - 288.000; Jornada completa

Descripción de la vacante

NVIDIA in California is hiring Senior Deep Learning Scientists to advance multimodal AI, agentic reasoning, and scalable model development for Nemotron Omni and VoiceChat platforms. You will apply advanced research to train, fine-tune, and deploy large language models with audio-visual reasoning and tool usage to support planning and task completion across digital and physical environments.

We seek candidates with a Master’s or PhD in CS/AI/applied math and 8+ years of experience, deep learning

Formación

• Master’s degree (or PhD) in CS, AI, or applied math with 8+ years of work experience.
• Excellent Python programming skills and strong PyTorch experience.
• Strong knowledge of ML/DL techniques and foundation models.
• Foundational understanding of RL algorithms (MDPs, policies, rewards).
• Hands-on experience with post-training multimodal models for audio-visual reasoning.
• Experience managing model development lifecycles, datasets, experiments.

Responsabilidades

• Develop, train, fine-tune, and deploy large language models for agentic systems (audio-visual reasoning, tool usage, document understanding).
• Advance post-training and alignment methods (RLHF/RLVR/MOPD) for multimodal agents.
• Research and develop agentic reasoning and grounded perception across digital and physical environments.
• Lead collection, development, and benchmarking of multimodal datasets and evaluation pipelines.

Conocimientos

Python programming

Reinforcement learning

Deep learning

Experiment tracking

Model deployment

Educación

Master’s degree (or PhD) in CS/AI/Applied Math

Herramientas

PyTorch

Transformers

Distributed training

Descripción del empleo

NVIDIA in California is hiring Senior Deep Learning Scientists to advance multimodal AI, agentic reasoning, and scalable model development for Nemotron Omni and VoiceChat platforms. You will apply advanced research to train, fine-tune, and deploy large language models with audio-visual reasoning and tool usage to support planning and task completion across digital and physical environments.

We seek candidates with a Master’s or PhD in CS/AI/applied math and 8+ years of experience, deep learning