
Multimodal Large Language Model Research Specialist
3 days ago
Job Description
We are seeking a highly skilled Research Engineer with expertise in Multimodal Large Language Models (m-LLMs) and Text-to-Speech (TTS) technologies to join our team. This is an exciting opportunity to contribute to pioneering projects that integrate various data modalities and enhance interactive systems.
Key Responsibilities:
- 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.
Required Qualifications:
- Pursuing an advanced degree (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 TensorFlow or PyTorch.
- Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.
Benefits:
- Opportunity to work on cutting-edge research and development projects.
- Collaboration with cross-functional teams, including product, engineering, and data science.
- Engagement in a culture of learning and innovation, contributing to team knowledge sharing on m-LLMs, TTS, and AI agents.
Others:
Ideal candidates should be passionate about AI and NLP, eager to contribute to pioneering projects, and possess strong analytical and problem-solving skills.
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