Risk Control Machine Learning Engineer (CV/NLP) - TikTok BRIC Singapore

and identifying fraudulent users, including those involved in pornography, fraud, gambling, and other violative activities.

• Utilize AI technologies such as CV/NLP models to develop and deploy models across various TikTok scenarios, identifying risky users and content from massive amounts of images, videos, text, behaviors, and social relationships.
• Develop industry-leading risk control solutions to combat fraudulent users, analyze and mine potential data patterns, establish a perception system for attacks, and proactively identify business risks to safeguard the business.

Qualifications

Minimum Qualifications

• In-depth research in one of the fields of CV/NLP, including but not limited to: image/video classification and recognition, object detection, unsupervised/semi-supervised learning, text classification, text mining, sequence modeling, graph models, etc.
• Familiar with one or more programming languages such as Python or C++, JAVA, with strong programming skills. Knowledge of big data processing technologies (Hive/Spark/Flink) and skilled at learning and applying industry-leading data architectures and technologies.
• Strong hands-on practical skills, familiar with the training and deployment of deep learning models, and able to apply algorithms to risk control business and verify their effectiveness.
• Excellent problem-analysis and problem-solving skills, with a passion for solving challenging problems.

Preferred Qualification

• Prior experience in risk control algorithm research and development is preferred.