PhD ML Intern — E‑Commerce Risk & Fraud Detection

TikTok; Singapore; On-site; SGD 20,000 - 36,000; Full time

Job summary

TikTok is offering a Machine Learning Engineer Intern position for a PhD student starting in 2026. The role focuses on risk control for TikTok Shop Global E-Commerce, requiring strong coding skills and familiarity with ML frameworks.

Interns will work with a cross-functional team to build scalable AI-driven risk solutions. The internship provides hands-on experience in identifying fraud patterns, developing data pipelines, and deploying models in a privacy-safe environment while contributing to

Qualifications

• Pursuing PhD in software/CS/engineering or related field.
• Strong coding skills in one or more programming languages.
• Familiar with ML frameworks and data-driven approaches.
• Ability to think critically and communicate results clearly.

Responsibilities

• Develop machine learning solutions to identify and prevent fraudulent activity.
• Analyze large-scale business and security data to detect abnormal user behavior.
• Build data pipelines for scalable, real-time risk prevention.
• Evaluate the effectiveness of deployed models and iterate accordingly.
• Collaborate with cross-functional teams to mitigate business risk.
• Assist in deploying, monitoring, and updating risk models.

Skills

Programming languages

Machine learning

Critical thinking

Data-driven communication

Education

PhD candidate in CS/Engineering

Tools

scikit-learn

TensorFlow

PyTorch

Job description

TikTok is offering a Machine Learning Engineer Intern position for a PhD student starting in 2026. The role focuses on risk control for TikTok Shop Global E-Commerce, requiring strong coding skills and familiarity with ML frameworks.

Interns will work with a cross-functional team to build scalable AI-driven risk solutions. The internship provides hands-on experience in identifying fraud patterns, developing data pipelines, and deploying models in a privacy-safe environment while contributing to