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2 weeks ago
Role Overview
We are seeking a highly skilled Research Engineer to join our team and contribute to the development of cutting-edge AI solutions that integrate multiple data modalities.
This role offers a unique opportunity to engage in research and development of Multimodal Large Language Models (m-LLMs), Text-to-Speech (TTS) technologies, and agentic workflows.
Key Responsibilities- Research & Development:
- Design and develop state-of-the-art m-LLMs and generative AI models that process and integrate text, audio, and visual inputs.
- 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.
- Model Design & Optimization:
- Develop, fine-tune, and evaluate AI models for complex NLP tasks, focusing on TTS and multimodal integration.
- Optimize models for scalability, efficiency, and deployment in production systems.
- Experiment with novel methods in model training, domain adaptation, and performance evaluation.
- Collaboration & Learning:
- Work closely with cross-functional teams to translate research insights into tangible products.
- Engage in a culture of learning and innovation, contributing to team knowledge sharing.
- Collaborate with external research communities.
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