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1. Algorithm research and development: Carry out research and development work in the field of machine learning and deep learning of natural language frontier models to solve practical problems in the field of enterprise collaboration;
2. Application of frontier models for enterprise collaboration: Responsible for applying the developed algorithm models to enterprise collaboration software, optimizing existing business processes, improving system performance, and improving user experience;
3. Data analysis and mining: Process and analyze large-scale data, mine valuable information in the data, and provide intelligent support for enterprise collaboration software;

1. Business application: Responsible for applying self-developed algorithm models to enterprise collaboration software, creating the best AI tools and products in many office scenarios such as meetings, documents, messages, and office intelligent bodies, and continuously improving user experience;
2. Model optimization: Responsible for training large language models to continuously improve their algorithm quality in the office field; building efficient evaluation methods and technical systems; collecting, investigating and producing high-quality data sets in the office field;
3. Technology construction: Continue to pay attention to new technology trends and research results in the industry, share industry best practices, and apply cutting-edge technologies to large models.

1. Business Application: Responsible for applying self-developed algorithm models to enterprise collaboration software, creating excellent AI tools and products in many office scenarios such as meetings, documents, messages, office intelligence, etc., and continuously improving user experience;
2. Model Optimization: Responsible for training large language models to continuously improve the quality of their algorithms in the office field; building efficient evaluation methods and technical systems; collecting, researching and producing high-quality data sets in the office field;
3. Technology Construction: Continue to pay attention to the latest technology trends and research results in the industry, share industry best practices, and apply cutting-edge technologies to large models.

1. Responsible for the design of Feishu products, able to lead product design, and explore product advantages and value;
2. Define the architecture and framework of Feishu-related products and establish a platform to improve business efficiency;
3. Collaborate with cross-functional teams (including engineering, design, customer success and sales) to manage and implement product roadmaps;