ML Risk Engineer, E‑Commerce Fraud & Security

TikTok USDS Joint Venture LLC; Seattle (WA); On-site; USD 140,000 - 220,000; Full time

Job summary

TikTok USDS Joint Venture LLC is hiring a Machine Learning Engineer for E-Commerce Risk Control in Seattle. You will design and deploy ML models to mitigate fraud, account abuse, and other risks across the TikTok e-commerce ecosystem.

You’ll work with representation learning, graph models, and deep learning methods, focusing on scalable, privacy-conscious solutions that deliver measurable risk reduction and improved user trust.

Qualifications

• Master’s degree or higher in a relevant STEM field.
• 1+ years of hands-on ML model delivery for large-scale internet projects.
• Proficiency in C++/Java/Python; familiarity with ML/deep learning platforms.

Responsibilities

• Invent, implement, and deploy state-of-the-art ML algorithms for risk control in e-commerce.
• Utilize representation learning, graph models, deep learning, transfer learning, and multi-task learning to improve detection.
• Monitor metrics to identify risk changes and refine risk governance strategies.

Skills

Machine learning

C++/Java/Python

Data-driven decisions

Education

Master’s degree in Computer Science/Math/Machine Learning

PhD (preferred) in CS/ML/Stats/OR

Tools

Common ML platforms

Job description

TikTok USDS Joint Venture LLC is hiring a Machine Learning Engineer for E-Commerce Risk Control in Seattle. You will design and deploy ML models to mitigate fraud, account abuse, and other risks across the TikTok e-commerce ecosystem.

You’ll work with representation learning, graph models, and deep learning methods, focusing on scalable, privacy-conscious solutions that deliver measurable risk reduction and improved user trust.