Machine Learning Engineer Intern (Global E-Commerce, Risk Control) - 2027 Start

Beschreibung:

About the Team The E-Commerce Risk Control (ECRC) team is missioned: - To protect E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities Develop domain-specific machine learning / LLMs / Agents to decode and prevent intricate, cross-domain fraudulent activties. 1. Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns. 2. Productionize AI agent pipelines engineered for real-time prevention under massive global traffic. 3. Analyze / test the effectiveness of the built solutions. 4. Work in a cross-functional team setting to mitigate business risks. 5. Work with relevant software platform to develop/deploy/monitor the models

Ihr Profil:

Minimum Qualifications 1. Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. 2. Good coding skills in one or more programming language. Preferred Qualifications 1. Good knowledge on machine learning / LLM / Agentic system and hands-on experience with popular frameworks such as pytorch, Scikit-learn, LangChain, Hugging Face Transformers. 2. Ability to think critically, rationally, and communicate in result-oriented, data-driven manner