ML Engineer Intern – E‑Commerce Risk & Real-Time AI

TikTok; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

TikTok in Singapore invites applications for the Machine Learning Engineer Intern (Global E-Commerce, Risk Control) with a 2027 start. The role focuses on building domain-specific machine learning models, LLMs, and agents to decode and prevent cross-domain fraud, while gaining hands-on experience in a global tech environment.

You will analyze large security datasets to uncover risky patterns, productionize AI pipelines for real-time prevention, and collaborate with cross-functional teams to

Qualifications

• Currently pursuing an Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Good coding skills in one or more programming languages.
• Preferred: knowledge on machine learning / LLM / Agentic systems and hands-on experience with PyTorch, Scikit-learn, LangChain, Hugging Face Transformers.

Responsibilities

• Develop domain-specific machine learning / LLMs / Agents to decode and prevent intricate, cross-domain fraudulent activities.
• Analyze massive business and security data to mine abnormal user behavior and evolving risky patterns.
• Productionize AI agent pipelines engineered for real-time prevention under massive global traffic.
• Analyze / test the effectiveness of the built solutions.
• Work in a cross-functional team setting to mitigate business risks.

Skills

Programming languages

Critical thinking

Education

Undergraduate or Master's in Software Development / CS / Computer Engineering

Tools

PyTorch

Scikit-learn

LangChain

Hugging Face Transformers

Job description

TikTok in Singapore invites applications for the Machine Learning Engineer Intern (Global E-Commerce, Risk Control) with a 2027 start. The role focuses on building domain-specific machine learning models, LLMs, and agents to decode and prevent cross-domain fraud, while gaining hands-on experience in a global tech environment.

You will analyze large security datasets to uncover risky patterns, productionize AI pipelines for real-time prevention, and collaborate with cross-functional teams to