
Senior Multimodal AI Engineer
3 days ago
We're seeking a dedicated and innovative Research Engineer with a focus on Multimodal Large Language Models, Text-to-Speech technologies, and agentic workflows.
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:
- Participate in developing, fine-tuning, and evaluating 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.
Our work environment is dynamic and offers opportunities to learn from industry experts and contribute to groundbreaking research projects. If you're passionate about AI and NLP, we encourage you to apply for this exciting opportunity.
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