Algorithm Researcher
5 days ago
- Participate in the development of knowledge-based Q&A or conversational AI products, enhancing the capabilities of large language models in areas such as RAG (Retrieval-Augmented Generation) and Agents, including data systems, algorithm optimization, prompt engineering, and evaluation iteration.
- Build a systematic and specialized knowledge base, optimize the full-link retrieval technology, and continuously improve retrieval precision and recall.
- Improve the performance of large language models in Q&A and conversational scenarios through techniques such as RAG, SFT (Supervised Fine-Tuning), and RLHF (Reinforcement Learning from Human Feedback).
Job Requirements
- Knowledge in Machine Learning, Artificial Intelligence or a Master's degree or a PhD in a relevant discipline.
- Familiarity with RAG and Agent development paradigms, as well as an understanding of advanced technologies and application scenarios in these fields.
- Proficiency in retrieval technologies, including vector search, hybrid retrieval, and re-ranking.
- Strong programming skills, familiarity with mainstream deep learning frameworks such as PyTorch, and proficiency in at least one of Python or C++.
- Curiosity about large language models and emerging technologies, with strong learning and innovation capabilities.
- Keen ability to identify business and data-related problems, along with excellent analytical and problem-solving skills.
- Familiarity with machine learning and large model-related algorithms, training methods, and data mining techniques.
Entry level
Employment TypeFull-time
Job FunctionInformation Technology, Research, and Other
IndustriesResearch Services, IT Services and IT Consulting, and Technology, Information and Internet
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