
Multimodal AI Researcher
3 days ago
Job Title: Multimodal AI Researcher
We are seeking a skilled and innovative researcher to contribute to cutting-edge projects in Multimodal Large Language Models (m-LLMs) and Text-to-Speech (TTS) technologies.
- 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 advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
- Participate in developing, fine-tuning, and evaluating AI models for complex NLP tasks, with a focus on TTS and multimodal integration.
- Optimize models for scalability, efficiency, and deployment in real-world production systems.
- 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.
- Advanced Research Experience:
- Progress toward a Ph.D. in a relevant discipline with a record of publications or patents.
- Experience in pioneering research in AI, with familiarity in m-LLM frameworks and toolkits (e.g., Hugging Face Transformers).
- Specialized Skills:
- Experience with TTS systems, including speech synthesis and voice conversion technologies.
- Familiarity with agentic workflows and the integration of AI agents in interactive systems.
- Experience with distributed systems and scalable model deployment in cloud environments.
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