
AI Multimodal Model Developer
2 days ago
**Job Title:** Research Engineer in Multimodal AI
This is an exciting opportunity to contribute to cutting-edge research and development of AI solutions that integrate various data modalities and enhance interactive systems.
- Key Responsibilities:
- Develop state-of-the-art multimodal large language models 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.
Required Qualifications:
- Educational Background:
- Currently 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.
Benefits:
- Collaborate 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.
- Collaborate with external research communities, potentially contributing to conferences and publications in the fields of m-LLMs, TTS, and agentic AI systems.
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