SeeU International Inc. is seeking a motivated Software Engineer Intern to support the development of a data-driven job matching system and a WeChat Mini Program platform. The intern will work on building an LLM-powered job matching pipeline and developing a user-friendly mobile interface for personalized job recommendations.
Responsibilities:
- Design and implement a job matching system that analyzes job descriptions and student resumes using NLP and language model techniques
- Build data pipelines to collect and process job postings from platforms such as Handshake, LinkedIn, and Monster using APIs and web scraping tools
- Develop skill extraction, semantic matching, and ranking algorithms to improve job recommendation accuracy
- Store and manage matching results in structured databases or data tables for efficient retrieval and analysis
- Design and develop a WeChat Mini Program that enables users to browse and receive personalized job recommendations
- Build the frontend interface using WeChat Mini Program technologies (JavaScript, WXML, WXSS)
- Develop or integrate backend APIs connecting the Mini Program with the job matching system
- Optimize the application for performance, usability, and scalability
Requirements:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field
- Strong programming skills in Python and experience with software development projects
- Experience or interest in machine learning, NLP, or large language models
- Strong problem-solving ability, attention to detail, and good time management skills
- Ability to work independently and collaborate effectively in a team environment
- Familiarity with APIs, data processing, or web scraping tools
- Experience with WeChat Mini Program development or frontend frameworks