Machine Learning Intern

About SHEIN 

SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 150 countries.

Founded in 2012, SHEIN has nearly 10,000 employees operating from offices around the world, with U.S. Headquarters located in Los Angeles and Global Headquarters located in Singapore. In SHEIN, we work with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.

Position Summary 

Shein Technology is looking for a Machine Learning Intern with a solid engineering background to join our U.S. AI team for Summer 2025. You will work on a project to build an alert system that leverages Azure system monitoring metrics to predict potential failures. The goal is to develop an early warning mechanism that alerts us before any failure occurs, thereby enhancing system reliability and reducing downtime.

This role focuses on the practical application of machine learning techniques in developing and optimizing models that protect against machine failures. You are expected to spend most of the time to work on alert detection by translating ideas into practical solutions. You will receive guidance from senior engineers and data scientists to help you learn best practices in ML model development and deployment. Meanwhile, you may have the opportunity to explore and apply affordable large language models to the alert system.

 Job Responsibilities 

• Develop and enhance machine learning models to improve our AI capability to identify vulnerabilities in our production system.
• Develop key metrics to track online performance and collaborate with cross-functional teams including engineering, business, user experience and product teams to achieve business goals.
• Improve the machine learning infrastructure and pipeline, data table and deployment processes.
• Participate in the full development cycle: design, development, deployment, experiment and analysis.
• Explore the applications of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) in the proposed project.

 Job Requirements 

• Currently enrolled in a Computer Science or equivalent course of study.
• Proficiency in Python (sklearn, pyspark etc.) is required while programming languages such as C++ is a plus.
• Prior hands-on project or internship experience in data engineering or machine learning.
• Development experience with xgboost, lightGBM, svm, other traditional machine learning models and deep learning models.
• Experience with SQL and at least one cloud platform (AWS/Azure/GCP).

Nice to Have 

• A Bachelor's degree or above in Data Science, Computer Science or related fields.

Perks (All Locations)

• Complimentary daily office snacks and beverages