Senior Deep Learning Scientist, Multimodal Agentic RL
NVIDIA· Engineer, Sys SW
Santa Clara, CA$152k - $241.5kFull-timePosted 2w ago
About the role
Senior Deep Learning Scientist role focusing on streaming and agentic multimodal AI. Develops and deploys large language models and multimodal systems for agentic reasoning, planning, and interaction across audio-visual modalities, with emphasis on post-training alignment, multimodal datasets, and evaluation.
Responsibilities
- Apply fundamental and applied research to develop, train, fine-tune, and deploy large language models for agentic systems encompassing audio-visual reasoning, tool usage, and document understanding.
- Advance post-training and alignment methods including instruction tuning, preference optimization, and RLHF/RLVR/MOPD to improve multimodal agents for complex use cases.
- Research and develop agentic reasoning and grounded perception capabilities, focusing on planning, tool execution, and long-horizon task completion across digital and physical environments.
- Lead the collection, development, and benchmarking of multimodal datasets, ensuring high-quality evaluation of model accuracy, safety, and task completion success.
Qualifications
- Master’s degree (or equivalent experience) or PhD in Computer Science, AI, or Applied Math with 5+ years of relevant work experience.
- Excellent programming skills in Python with strong fundamentals in scalable model development and deep learning frameworks like PyTorch.
- Strong knowledge of ML/DL techniques and modern foundation model architectures, including Transformers and mixture-of-experts models.
- Foundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design.
- Hands-on experience in post-training multimodal models for omni-modality (audio-visual) reasoning, full-duplex voice chat, and human-AI interaction.
- Proven ability to manage model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines.
Skills
Required:PythonPyTorchTransformersReinforcement Learning
Nice to have:Mixture-of-Experts
Benefits
- Equity
- Benefits package
Last updated Oct 9, 2026. Interested? Apply on the company site.
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