CuttingEdgeAIResearchEngineer

We seek an experienced Research Engineer to develop cutting-edge AI solutions integrating multimodal data modalities.

This position involves designing, conducting experiments on new algorithms and architectures for text-to-speech applications. You will stay updated with academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.

• Develop state-of-the-art m-LLMs and generative AI models processing multiple data modalities, including text, audio, and visual inputs.
• Design and conduct experiments testing new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
• Stay up-to-date with the latest developments in multimodal large language models, deep learning, NLP, and TTS technologies.
• Participate in developing, fine-tuning, and evaluating AI models for complex NLP tasks, focusing 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.

• Pursuing a Master's or Ph.D. in Computer Science, Machine Learning, NLP, or a closely related field.
• Experience or coursework in large language models, deep learning, NLP, and TTS technologies.
• Proficiency in programming languages such as Python, with experience in frameworks like Tensor Flow or Py Torch.

Skills Requirements