Design and integrate vision and audio models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs.
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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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
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