
AI and Multimodal Model Specialist
5 days ago
We are seeking a highly skilled Research Engineer to join our team in developing cutting-edge AI solutions that integrate various data modalities and enhance interactive systems.
The ideal candidate will be passionate about AI and Natural Language Processing (NLP) and have the ability to develop and deploy machine learning models in practical environments, with a focus on Text-to-Speech (TTS) applications and agentic workflows.
- Research & Development:
- Develop state-of-the-art m-LLMs 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 academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
- Educational Background:
- Pursuing an advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, NLP, or a closely related field.
- Technical Expertise:
- 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 TensorFlow or PyTorch.
- Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.
- Collaboration Opportunities:
- Work closely with cross-functional teams to translate research insights into tangible products that utilize m-LLMs and TTS technologies within agentic workflows.
- Professional Growth:
- Engage in a culture of learning and innovation, contributing to team knowledge sharing on m-LLMs, TTS, and AI agents.
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