Machine Learning Engineer/Applied Data Scientist, E-Commerce Risk Control - USDS

About the teamThe E-Commerce Risk Control team works to minimize the damage of inauthentic behaviors on Tiktok E-Commerce platforms, covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious behaviors, brushing, click-farm, information leakage, etc.In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferable, while still down to the ground to make quick and solid differences.Responsibilities:

• Build machine learning solutions to respond to and mitigate business risks in Tiktok products/platforms. Such risks include and are not limited to abusive account integrity, scalper, deal-hunter, malicious activities, brushing, click-farm, information leakage 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.
• Up-level risk machine learning excellence in privacy/compliance, interpretability, risk perception and analysis.
• Build fraud detection, anomaly detection, and risk-scoring models using supervised, unsupervised, and deep learning techniques.
• Apply graph-based models for detecting fraud networks

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.