
Multimodal AI Research Specialist
5 days ago
We are seeking a skilled Research Engineer to join our team and contribute to the development of cutting-edge AI solutions. The ideal candidate will have expertise in Multimodal Large Language Models (m-LLMs), Text-to-Speech (TTS) technologies, and agentic workflows.
About the RoleThis is an exciting opportunity for a talented Research Engineer to engage in pioneering research and development of AI models that integrate various data modalities. The successful candidate will be responsible for researching and developing state-of-the-art m-LLMs and generative AI models, as well as designing and conducting experiments to test new algorithms and architectures.
Main Responsibilities- Model Development: Develop and fine-tune AI models for complex NLP tasks, with a focus on TTS and multimodal integration.
- Experimentation: Design and conduct experiments to test new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
- Knowledge Sharing: Collaborate with cross-functional teams to translate research insights into tangible products and share knowledge on m-LLMs, TTS, and AI agents.
- Educational Background: Currently pursuing an advanced degree 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.
- Professional Skills: Strong analytical and problem-solving skills, with the capacity to work both independently and collaboratively.
This role offers a unique opportunity to engage in cutting-edge research and development of AI solutions that integrate various data modalities. The ideal candidate will be passionate about AI and NLP, eager to contribute to pioneering projects, and committed to delivering high-quality results.
What We Offer- A dynamic and collaborative work environment.
- The opportunity to work on challenging projects and develop your skills.
- A competitive salary and benefits package.
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