Senior Deep Learning Scientist, Multimodal Agentic RL
Core
Develop and deploy large language models and multimodal agents capable of reasoning, planning, and acting across audio-visual modalities for high-impact AI products.
Role type
Senior Deep Learning Scientist (Multimodal Agentic RL)
Builds
Multimodal foundation models (Nemotron Omni, VoiceChat) and agentic systems for complex use cases.
Domain
Artificial Intelligence, Deep Learning, Reinforcement Learning, Multimodal AI
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, Applied mathematics, Python, PyTorch, Transformers, Mixture-of-Experts, Post-training methods (RLHF/RLVR/MOPD), Dataset management, Experiment tracking
Preferred skills
Publications in top-tier AI venues, Large-scale distributed training, Deep reinforcement learning in simulation, Audio/speech AI, Embodied AI systems
