Australia
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.
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