
Advanced AI Researcher
1 day ago
AI LLM Researcher Opportunity
">We are seeking a dedicated and innovative researcher to focus on Multimodal Large Language Models (m-LLMs), Text-to-Speech (TTS) technologies, and agentic workflows.
">This position offers a unique opportunity to engage in cutting-edge research and development of AI solutions that integrate various data modalities and enhance interactive systems.
">About You
">- You have a passion for AI and Natural Language Processing (NLP)
- You are eager to contribute to pioneering projects
- You hold a Master's or Ph.D. degree in relevant fields
Your Responsibilities
">- Research & Development:
- Assist in developing 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.
- Model Design & Optimization:
- 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, ensuring seamless interaction between components in agentic workflows.
- Experiment with novel methods in model training, domain adaptation, and performance evaluation to enhance the naturalness and responsiveness of TTS systems.
- 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.
- Collaborate with external research communities to advance the field of m-LLMs, TTS, and agentic AI systems.
The Ideal Candidate
">- Educational Background: A Master's or Ph.D. in Computer Science, Machine Learning, NLP, or a related field
- Technical Expertise: Experience or coursework in large language models, deep learning, NLP, and TTS technologies
- Programming Skills: Proficiency in Python, with experience in frameworks like TensorFlow or PyTorch
- Algorithmic Knowledge: Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems
- Professional Skills: Strong analytical and problem-solving skills, with the capacity to work independently and collaboratively
- Communication Skills: Effective written and verbal communication skills for articulating research concepts to diverse audiences
What We Offer
">- A dynamic and collaborative research environment
- Opportunities to engage in cutting-edge research and development projects
- A chance to work with a talented team of researchers and engineers
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