ML Engineer - Global E-Commerce Risk & Fraud Prevention

TikTok; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

TikTok is hiring a Machine Learning Engineer Graduate for a Global E-Commerce Risk Control role with a 2027 start. You will develop ML/LLMs/Agents to decode and prevent cross-domain fraudulent activities and analyze large-scale security data to identify evolving risky patterns.

Join a cross-functional team to productionize AI pipelines for real-time prevention and work with platforms to deploy and monitor models.

Qualifications

• Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Good coding skills in one or more programming language.

Responsibilities

• Develop domain-specific machine learning/LLMs/Agents to decode and prevent cross-domain fraudulent activities.
• Analyze massive business and security data to mine abnormal user behavior and uncover 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 to mitigate business risks.
• Work with relevant software platforms to develop/deploy/monitor the models.

Skills

Coding skills

Education

Bachelor's or Master's in Software Development/CS/CE

Tools

PyTorch

Scikit-learn

LangChain

Hugging Face Transformers

Job description

TikTok is hiring a Machine Learning Engineer Graduate for a Global E-Commerce Risk Control role with a 2027 start. You will develop ML/LLMs/Agents to decode and prevent cross-domain fraudulent activities and analyze large-scale security data to identify evolving risky patterns.

Join a cross-functional team to productionize AI pipelines for real-time prevention and work with platforms to deploy and monitor models.