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Multimodal AI Model Developer
2 weeks ago
Job Overview
We are seeking a talented Research Engineer to join our team and contribute to the development of cutting-edge AI solutions that integrate various data modalities.
- Key Responsibilities:
- Develop state-of-the-art multimodal Large Language Models (m-LLMs) and generative AI models that process and integrate multiple data modalities.
- 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.
- Required Qualifications:
- Pursuing an 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.
- Benefits:
- Opportunity to engage in cutting-edge research and development of AI solutions.
- Collaboration with cross-functional teams to translate research insights into tangible products.
- Engage in a culture of learning and innovation, contributing to team knowledge sharing on m-LLMs, TTS, and AI agents.