Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2026 Start (PhD)

岗位职责 / Responsibilities

Team Introduction

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.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Responsibilities

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

任职要求 / Requirements

Minimum Qualifications:

- Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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If you have any questions, please reach out to us at [email protected]