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

• 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 pipelines to enable scalable and real‑time risk prevention.
• Analyze and test the effectiveness of the built solutions.
• Work in a cross‑functional team setting to mitigate business risks.
• Work with relevant software platforms to develop, deploy, and monitor the models.

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

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