Senior ML Engineer – E‑Commerce Risk & Fraud Detection

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 187,000 - 360,000; Full time

Job summary

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer to join the E-Commerce Risk Control team in San Jose. You will build and deploy ML models to mitigate fraud, abuse, and abuse in e‑commerce ecosystems, while ensuring privacy‑safe and scalable solutions.

The role emphasizes advanced ML techniques, model interpretability, and cross‑functional collaboration to drive risk governance and business improvements in a fast‑moving product landscape.

Qualifications

• Master’s degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM disciplines.
• 3+ years of hands‑on experience in building and delivering machine learning models for large‑scale projects in internet companies.
• Proficiency in C++/Java/Python with strong coding skills, and familiarity with at least one common machine learning/deep learning platform.
• Deep understanding of supervised learning, unsupervised learning, and deep learning techniques, and the ability to build business algorithm models using relevant algorithms.
• Ability to think critically, objectively; reason and communicate in a results‑oriented, data‑driven manner; and work with high autonomy.

Responsibilities

• Invent, implement, and deploy cutting‑edge machine learning algorithms, build prototypes, and explore new conceptual solutions to risk challenges in TikTok e‑commerce.
• Leverage representation learning, graph models, deep learning, transfer learning, and multi‑task learning to improve problem detection efficiency.
• Monitor and attribute key metrics to detect changes in risk and trends, proactively identify potential attacks, refine risk control strategies.
• Mine and analyze large e‑commerce content and user behavior data to build short‑/long‑term user profiles and improve model precision.
• Advance risk ML capabilities in privacy/compliance, interpretability, risk perception, and analysis; develop industry‑leading solutions.

Skills

C++

Java

Python

Machine Learning

Deep Learning

Data-driven

Education

Master's degree in Computer Science/Math/ML

Master’s degree

Tools

ML platforms

Job description

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer to join the E-Commerce Risk Control team in San Jose. You will build and deploy ML models to mitigate fraud, abuse, and abuse in e‑commerce ecosystems, while ensuring privacy‑safe and scalable solutions.

The role emphasizes advanced ML techniques, model interpretability, and cross‑functional collaboration to drive risk governance and business improvements in a fast‑moving product landscape.