
Intelligent Multimodal Model Developer
22 hours ago
The role of Research Engineer entails the development and application of cutting-edge AI solutions that integrate various data modalities, thereby enhancing interactive systems.
- Key Responsibilities
- Research & Development:
- Develop state-of-the-art models for text-to-speech technologies and agentic workflows by integrating multiple data modalities.
- Conduct experiments to test new algorithms and architectures for improved performance.
- Stay updated with advancements in AI research and its applications.
- Model Design & Optimization:
- Design and optimize AI models for complex NLP tasks focusing on TTS and multimodal integration.
- Experiment with novel methods in model training, domain adaptation, and performance evaluation.
- Collaboration & Learning:
- Translate research insights into tangible products that utilize AI and TTS technologies within agentic workflows.
- Engage in a culture of innovation and contribute to team knowledge sharing.
- Collaborate with external research communities to advance AI research.
- Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, NLP, or closely related field.
- Experience or coursework in large language models, deep learning, NLP, and TTS technologies.
- Proficiency in Python programming language and experience with frameworks like TensorFlow or PyTorch.
- Progress toward a Ph.D. in relevant discipline with a record of publications or patents.
- Experience in pioneering research in AI, familiarity with m-LLM frameworks and toolkits.
- Specialized skills: Experience with TTS systems, including speech synthesis and voice conversion technologies.
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