Why This Role Stands Out
This exciting role offers you the chance to architect cutting-edge multimodal AI systems, directly impacting the future of voice-to-voice interactions and information retrieval. If you are an experienced AI engineer with a passion for integrating vision and audio models and optimizing complex systems, you will thrive in this innovative environment. Apply now to leverage your expertise and contribute to groundbreaking AI advancements.
Quick Overview
Job Description
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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