
AI Research Scientist
2 days ago
This is a unique opportunity to engage in cutting-edge research and development of AI solutions that integrate various data modalities.
- Key Responsibilities:
- Develop state-of-the-art m-LLMs and generative AI models for processing and integrating 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.
- Required Skills and Qualifications:
- Familiarity with deep learning frameworks and programming languages, such as TensorFlow or PyTorch.
- Strong understanding of NLP, computer vision, and multimodal integration.
- Experience with model design, training, and evaluation, particularly for complex NLP tasks.
- 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.
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