AI Multimodal Model Researcher

Research Engineer Opportunity

This position offers a chance to engage in cutting-edge research and development of AI solutions that integrate various data modalities and enhance interactive systems.

• Key Responsibilities :
• Develop state-of-the-art large language models 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 advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
• Model Development & 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 & Knowledge Sharing :
• 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.

Requirements

Preferred Qualifications