About the Team Our team is pioneering the future of large language model-based applications with a focus on developing long-term memory capabilities and delivering personalized chat, search, and recommendation experiences. We're leveraging our deep expertise in artificial intelligence to create advanced AI algorithms that can understand, learn, and predict, dramatically enhancing user interactions. Our mission is to revolutionize how we engage with machines, making them more intuitive and human-like than ever. With a relentless commitment to excellence and a profound understanding of AI, we are setting new standards and pushing the boundaries of what language model-based applications can achieve.
Responsibilities：
- Develop and implement advanced algorithms for AI applications to drive exploration and application of cutting-edge technologies.
- Improve natural language understanding, including intent recognition, structured/unstructured, characterization learning for short/long texts, etc.
- Responsible for the full-stack development of large-scale machine learning systems and recommendation systems, exploring the personalized application of ultra-large-scale models.
- Apply LLM-related techniques to explore information finding within large model-based AI applications.
Requirements
Minimum Qualifications:
- Bachelor's or above degree in Computer Science or related disciplines.
- Strong design and coding capability, able to deliver high quality design and code.
- Strong analytical and problem-solving skills, ability to see the essence of the problem from complicated data.
- Proficient in one or more algorithmic strategies, such as NLU, Recall, or Sort. Familiarity with the latest Large Language Model (LLM) technologies.
- Experience in algorithm development such as large-scale search, recommendation, LLM system.
Preferred Qualifications:
- Ph.D. degree in Computer Science, AI, or related fields.
- Hands-on experience in developing and deploying large-scale AI systems.