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Machine Learning Engineer, Ecommerce Risk Control

Seattle, United States of America💼 Full-time🗓 2026-09-28

Core

Build software systems and risk models to protect TikTok e-commerce users and partners from malicious activities, fraud, and ecosystem integrity threats.

Role type

Senior IC machine learning engineer (risk control)

Builds

Risk models, software systems, and automation processes for TikTok e-commerce platforms

Domain

E-commerce, fraud detection, risk management

Deliverable

production ML models

Required skills

Machine learning algorithms, data querying infrastructure, risk metrics definition, hypothesis testing, cross-functional collaboration, technical documentation

Preferred skills

PhD in CS/ML/Statistics, predictive modeling, stakeholder influence, e-commerce fraud/risk control experience

Technologies

Java, C++, Python, Scala, R, Ruby, Matlab

Responsibilities

Invent and deploy state-of-the-art ML algorithms for risk mitigation; build prototypes and conduct experiments to validate hypotheses; develop data querying infrastructure for offline and online analysis; define and monitor risk control measurements; collaborate with cross-functional teams to enhance automation processes

Seniority

Senior, hands-on IC

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