Machine Learning Engineer (Anti Automation) - TikTok BRIC (Singapore)

Anti-Automation Solutions (AA) is part of Business Integrated Risk Control(BRIC) team. Automated fraud refers to technical methods used by hackers to perform API abuse at scale using scripts and tools. Our vision is to establish an industry-leading team with a focus on end-to-end defense-in-depth systems with privacy and business needs in mind. We are responsible for continuously iterating over identifying and combating automated fraud through client environment inspection, risky signals collection, trusted computing, traffic validation, data mining and producing a wide variety of tools and subject matter services for business lines.

Job Description
- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.