ML Engineer — E‑Commerce Risk & Fraud AI

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 137,000 - 259,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Job summary

TikTok USDS Joint Venture LLC seeks an experienced machine learning professional to join the E-Commerce Risk Control team in a fast-paced security-focused role. You will develop scalable models to detect fraud, abuse, and malicious activity across TikTok’s e-commerce platforms.

Leverage representation learning, graph models, and deep learning to enhance detection while prioritizing privacy and user trust. This on-site role emphasizes rapid delivery and cross-functional collaboration.

Qualifications

• Master’s degree in CS, Math, ML, or related STEM fields.
• 2+ years building ML models for large-scale internet projects.
• Proficient in C++/Java/Python with solid coding skills; familiar with ML platforms.

Responsibilities

• Invent, implement, and deploy ML algorithms to mitigate e-commerce risks.
• Apply representation learning, graph models, deep learning to improve detection.
• Monitor risk metrics and refine risk-control strategies.
• Analyze large ecommerce data to build user profiles and improve models.
• Advance privacy, interpretability, and risk-control systems.

Skills

C++/Java/Python

ML techniques

Data analysis

Education

Master’s degree in CS/Math/ML or related STEM

PhD preferred

Tools

TensorFlow

PyTorch

Job description

TikTok USDS Joint Venture LLC seeks an experienced machine learning professional to join the E-Commerce Risk Control team in a fast-paced security-focused role. You will develop scalable models to detect fraud, abuse, and malicious activity across TikTok’s e-commerce platforms.

Leverage representation learning, graph models, and deep learning to enhance detection while prioritizing privacy and user trust. This on-site role emphasizes rapid delivery and cross-functional collaboration.