
Multimodal AI Research Scientist
4 days ago
Job Overview
We are seeking a highly skilled and innovative researcher to join our team in developing cutting-edge AI solutions. As a Research Engineer, you will have the opportunity to engage in ground-breaking research and development of Multimodal Large Language Models (m-LLMs), Text-to-Speech (TTS) technologies, and agentic workflows.
Key Responsibilities:
- Develop state-of-the-art m-LLMs and generative AI models that process and integrate multiple data modalities, 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 updated with the latest academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
Requirements:
- You must currently be pursuing an advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, NLP, or a closely related field.
- You should have 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 is required.
- You must understand algorithm design, data structures, and model optimization techniques relevant to m-LLMs and TTS systems.
Benefits:
- This position offers a unique opportunity to engage in cutting-edge research and development of AI solutions.
- Candidates pursuing a Master's or Ph.D. in relevant fields are preferred.
About Us:
Please note that this job description is subject to change based on business needs.
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