Large Language Model Optimizer
4 days ago
We are looking for an accomplished Algorithm Researcher to drive the development of knowledge-based Q&A or conversational AI products at SenseTime MEA. In this pivotal role, you will spearhead the creation of a specialized knowledge base, refine retrieval technologies, and improve the overall performance of large language models.
This opportunity requires a unique blend of technical expertise, creative problem-solving skills, and strategic thinking. The successful candidate will have a proven track record in Machine Learning, Artificial Intelligence, or a related field, with experience in RAG and Agent development paradigms. Familiarity with retrieval technologies, such as vector search, hybrid retrieval, and re-ranking, is also essential. Proficiency in programming languages, like Python or C++, and deep learning frameworks, such as PyTorch, is a must. Strong analytical and problem-solving skills, along with the ability to identify business and data-related problems, are critical to success in this role.
Key Responsibilities:
• Develop knowledge-based Q&A or conversational AI products
• Create a specialized knowledge base
• Refine retrieval technologies
• Improve the performance of large language models
• Identify business and data-related problems
Requirements:
• Master's degree or PhD in a relevant discipline
• Expertise in RAG and Agent development paradigms
• Familiarity with retrieval technologies
• Proficiency in programming languages and deep learning frameworks
• Excellent analytical and problem-solving skills
About Us
SenseTime MEA is a leading technology company specializing in AI-powered solutions, dedicated to pushing the boundaries of innovation and excellence.
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