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 seeks an experienced ML Engineer to build and deploy risk control models for e-commerce. You’ll invent and optimize ML algorithms, use graph models and deep learning, and work on fraud detection and abuse mitigation at scale.

The role emphasizes rapid, data-driven decision making and collaboration with cross-functional teams in a fast-paced security environment. The team focuses on privacy-aware, robust systems for platform safety, with on-site presence required up to

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, build prototypes, and explore novel solutions to address business risks in TikTok e-commerce.
• Utilize representation learning, graph models, deep learning, transfer learning, and multi-task learning to improve problem detection efficiency.
• Monitor and attribute key metrics to perceive changes in risk and drive risk governance adjustments.
• Mine and analyze massive e-commerce content and user behavior data to build short-term and long-term user profiles, improving model accuracy.
• Advance risk ML capabilities in privacy/compliance, interpretability, and analysis, building an industry-leading content risk control system.

Skills

C++/Java/Python

Data-driven decision making

Fraud risk knowledge

Education

Master's degree in CS/Math/ML

PhD in CS/ML (preferred)

Tools

ML platforms

Job description

TikTok USDS Joint Venture seeks an experienced ML Engineer to build and deploy risk control models for e-commerce. You’ll invent and optimize ML algorithms, use graph models and deep learning, and work on fraud detection and abuse mitigation at scale.

The role emphasizes rapid, data-driven decision making and collaboration with cross-functional teams in a fast-paced security environment. The team focuses on privacy-aware, robust systems for platform safety, with on-site presence required up to