Multimodal AI Researcher

Job Description :

We are seeking a researcher to spearhead the development of cutting-edge AI solutions integrating various data modalities. The ideal candidate will join our pioneering team and contribute to state-of-the-art large language models.

• Research & Development :
• Develop novel algorithms, architectures, and fine-tuning techniques for text-to-speech applications and agentic workflows.
• Design experiments to inform ongoing projects and stay updated on the latest advancements in large language models, TTS, and AI agents.
• Model Design & Optimization :
• Participate in developing, fine-tuning, and evaluating AI models for complex NLP tasks, focusing on text-to-speech and multimodal integration.
• Optimize models for scalability, efficiency, and deployment in real-world systems, ensuring seamless interaction between components in agentic workflows.

Required Skills :

We seek candidates with strong technical expertise in deep learning, NLP, and text-to-speech technologies. Required qualifications include :

Benefits :

Candidates will have the opportunity to engage in a culture of learning and innovation, contributing to team knowledge sharing on AI solutions and collaborating with external research communities.

Preferred Qualifications :

Advanced research experience is preferred, including a record of publications or patents. Familiarity with text-to-speech systems, including speech synthesis and voice conversion technologies, is also desired.