ML Risk Control Engineer – CV/NLP for Security

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok is seeking a risk-focused ML/AI engineer based in Singapore to develop and deploy CV/NLP models that detect fraudulent users and content across TikTok's short-video platform. You will work with cross-functional teams to build scalable risk controls and protect platform health.

Ideal candidates will have strong Python/C++/Java skills, hands-on DL deployment experience, and a background in CV/NLP research with an emphasis on risk or security applications.

Qualifications

• Research in CV/NLP fields such as image/video classification, text mining, or graph models.
• Strong programming skills in Python, C++, or Java; experience with Hive/Spark/Flink.
• Hands-on experience in training and deployment of deep learning models for risk control.
• Excellent problem-analysis and problem-solving skills.
• Prior experience in risk control R&D preferred.

Responsibilities

• Handle various business security issues on TikTok-related product lines and identify fraudulent users.
• Utilize AI technologies to develop and deploy models across TikTok scenarios to detect risky users and content.
• Develop risk control solutions to combat fraudulent users and proactively identify business risks.

Skills

CV/NLP research

Python

C++

Java

Big data processing

Deep learning deployment

Problem solving

Tools

Hive

Spark

Flink

Job description

TikTok is seeking a risk-focused ML/AI engineer based in Singapore to develop and deploy CV/NLP models that detect fraudulent users and content across TikTok's short-video platform. You will work with cross-functional teams to build scalable risk controls and protect platform health.

Ideal candidates will have strong Python/C++/Java skills, hands-on DL deployment experience, and a background in CV/NLP research with an emphasis on risk or security applications.