
AI Innovator
6 days ago
Immersive AI Model Architect - Advanced Research Engineer
About the Role:
We're seeking a cutting-edge researcher to develop novel AI architectures that leverage multimodal data integration. This position offers an exceptional opportunity to explore pioneering research in Multimodal Large Language Models (m-LLMs) and Text-to-Speech (TTS) technologies.
Key Responsibilities:
- Design and Develop Innovative m-LLM Architectures:
- 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.
- Develop State-of-the-Art TTS Systems:
- 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.
- Cross-Functional Collaboration & Learning:
- Work closely with 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.
- Required Skills & Qualifications:
- Educational Background: Currently pursuing an advanced degree 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 Languages: Proficiency in Python, experience in TensorFlow or PyTorch.
- Algorithm Design: Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.
- Professional Skills: Ability to develop and deploy machine learning models in practical environments, strong analytical and problem-solving skills, effective communication skills.
- Preferred Qualifications:
- Advanced Research Experience: Progress toward a Ph.D. in a relevant discipline with publications or patents.
- Pioneering Research Experience: Familiarity with m-LLM frameworks and toolkits.
- TTS System Experience: Experience with speech synthesis and voice conversion technologies.
- Agetic Workflows: Familiarity with the integration of AI agents in interactive systems.
- Distributed Systems: Experience with scalable model deployment in cloud environments.
Benefits:
- Opportunity to work at the forefront of AI research and development.
- Collaborative environment fostering innovation and growth.
- Chance to develop novel AI solutions impacting real-world applications.
What We Offer:
- Dynamic work environment promoting continuous learning and skill enhancement.
- Opportunities for professional growth and career advancement.
- Collaborative atmosphere encouraging cross-functional teamwork and knowledge sharing.
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