
AI Multimodal Research Scientist
6 days ago
Job Overview
We are seeking a highly skilled and innovative Research Scientist to join our team. This role offers a unique opportunity to engage in cutting-edge research and development of AI solutions that integrate various data modalities.
Main Responsibilities:
- Develop state-of-the-art multimodal large language models and generative AI systems that process and integrate multiple data types, 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 up-to-date with the latest academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
Required Skills:
- Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, NLP, or a closely related field.
- Experience or coursework in large language models, deep learning, NLP, and TTS technologies.
- Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow or PyTorch.
- Understanding of algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.
Preferred Qualifications:
- Progress toward a Ph.D. in a relevant discipline with a record of publications or patents.
- Experience in pioneering research in AI, with familiarity in m-LLM frameworks and toolkits.
- Familiarity with TTS systems, including speech synthesis and voice conversion technologies.
Benefits:
- Collaborative and dynamic work environment.
- Opportunities for professional growth and development.
- Competitive compensation and benefits package.
How to Apply:
- Please submit your resume and cover letter.
- We will review your application and contact you if we would like to schedule an interview.
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