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Multimodal AI Research Expert
3 weeks ago
We are seeking a highly skilled Research Engineer to join our team and contribute to the development of cutting-edge AI solutions.
This role offers a unique opportunity to engage in innovative research and development, working with large language models, text-to-speech technologies, and agentic workflows. Ideal candidates will have a strong passion for AI and NLP, with a focus on multimodal integration and interactive systems.
The successful candidate will be responsible for researching and developing state-of-the-art m-LLMs and generative AI models that process and integrate multiple data modalities, including text, audio, and visual inputs. They will also design and conduct experiments to test new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
Additional responsibilities include participating in the development, fine-tuning, and evaluation of AI models for complex NLP tasks, with a focus on TTS and multimodal integration. The ideal candidate will have a strong analytical and problem-solving skillset, with the ability to work both independently and collaboratively.
Key Responsibilities:
- Research & Development: Develop state-of-the-art m-LLMs and generative AI models for multimodal integration and interactive systems.
- Model Design & Optimization: Participate in the development, fine-tuning, and evaluation of AI models for complex NLP tasks.
- Collaboration & Learning: Work closely with cross-functional teams to translate research insights into tangible products.
