ML Engineer: E‑Commerce Risk & Fraud Detection

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 130,000 - 246,000; Full time

Job summary

TikTok USDS Joint Venture LLC is hiring for a risk-focused machine learning role on the E‑Commerce Risk Control team in Seattle, WA. The role focuses on developing scalable ML models to detect fraud, abuse, and malicious behavior across TikTok e‑commerce platforms, with a strong emphasis on privacy and governance.

On-site collaboration is emphasized to accelerate results. You will work with representation learning, graph models, and deep learning to improve risk detection metrics, while closely

Qualifications

• Master’s degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM fields.
• 1+ years of hands‑on experience building and delivering machine learning models for large‑scale projects in internet companies.
• Proficient in C++/Java/Python with strong coding skills, and familiarity with at least one common machine learning/deep learning platform.
• Experience in e-commerce/internet companies in fraud or risk control roles, with a track record of building fraud detection, anomaly detection, or other risk control models using relevant algorithms.
• Strong critical, objective, and thinking skills; able to reason and communicate in a results‑oriented, data‑driven manner with high autonomy.

Responsibilities

• Invent, implement, and deploy state‑of‑the‑art machine learning algorithms addressing and mitigating business risks in TikTok e‑commerce platforms.
• Utilize representation learning, graph models, deep learning, transfer learning, and multi‑task learning to improve problem detection efficiency.
• Monitor and attribute key metrics to promptly perceive changes in risk and drive risk governance and strategy adjustments.
• Mine and analyze massive e‑commerce content and user behavior data to build short‑ and long‑term user profiles and improve model robustness.
• Advance risk ML capabilities in privacy/compliance, interpretability, and analysis; tailor models to content e‑commerce.

Skills

C++/Java/Python

Education

Master's degree in Computer Science or related STEM field

Job description

TikTok USDS Joint Venture LLC is hiring for a risk-focused machine learning role on the E‑Commerce Risk Control team in Seattle, WA. The role focuses on developing scalable ML models to detect fraud, abuse, and malicious behavior across TikTok e‑commerce platforms, with a strong emphasis on privacy and governance.

On-site collaboration is emphasized to accelerate results. You will work with representation learning, graph models, and deep learning to improve risk detection metrics, while closely