San Francisco Bay Area, USA
We are seeking a talented Multimodal AI Systems Architect to develop and optimize AI systems that seamlessly integrate vision and audio models. This role focuses on enhancing our voice-to-voice interactions and multimodal retrieval capabilities, ensuring our systems are efficient and innovative.
Responsibilities
Integrate vision encoders and audio-native models into core agent reasoning loops.
Optimize streaming latency for voice-to-voice AI interactions.
Architect multimodal RAG systems capable of retrieving insights from videos and PDFs.
Qualifications
Experience with Whisper, CLIP, and multimodal LLM integration.
Knowledge of streaming architectures and WebRTC.
Expertise in cross-modal alignment.