Senior Deep Learning Scientist

Job Summary

To advance efforts in streaming and agentic multimodal AI, the full-time Senior Deep Learning Scientist will apply expertise in deep learning and reinforcement learning to develop models for reasoning and acting across diverse modalities, working remotely or onsite in Santa Clara.

Key responsibilities

• Develop, train, fine-tune, and deploy advanced neural networks for language processing in agentic systems
• Advance post-training methods to improve multimodal agents for complex use cases
• Lead the collection and benchmarking of multimodal datasets to evaluate model accuracy and task completion

Required qualifications

• Master's degree or PhD in Computer Science, AI, or Applied Math with 8+ years of relevant experience
• Excellent programming skills in Python and experience with deep learning frameworks like PyTorch
• Strong knowledge of ML/DL techniques and foundation model architectures, including Transformers
• Foundational understanding of reinforcement learning algorithms and implementation
• Hands-on experience with post-training multimodal models for audio-visual reasoning