
Multimodal AI Model Developer
6 days ago
Job Overview
We are seeking a Research Engineer to develop innovative AI solutions that integrate various data modalities and enhance interactive systems.
Key Responsibilities:
- Research & Development:
- Develop state-of-the-art m-LLMs and generative AI models that process and integrate multiple data modalities, including text, audio, and visual inputs.
- Design and conduct experiments to test new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
- Stay updated with the latest academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
- Model Design & Optimization:
- Develop, fine-tune, and evaluate AI models for complex NLP tasks, with a focus on TTS and multimodal integration.
- Optimize models for scalability, efficiency, and deployment in real-world production systems, ensuring seamless interaction between components in agentic workflows.
- Experiment with novel methods in model training, domain adaptation, and performance evaluation to enhance the naturalness and responsiveness of TTS systems.
- Collaboration & Learning:
- Work closely with cross-functional teams to translate research insights into tangible products that utilize m-LLMs and TTS technologies within agentic workflows.
- Engage in a culture of learning and innovation, contributing to team knowledge sharing on m-LLMs, TTS, and AI agents.
- Collaborate with external research communities, potentially contributing to conferences and publications in the fields of m-LLMs, TTS, and agentic AI systems.
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