ML Engineer - E‑Commerce Risk & Fraud Control

TikTok USDS Joint Venture LLC; San Jose (CA); In loco; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer to advance e-commerce risk control. You will develop scalable ML models to detect fraud, abuse, and security risks across TikTok's e-commerce platforms, using state-of-the-art techniques and large-scale data.

The role emphasizes privacy-safe, robust systems, with on-site collaboration in San Jose. Expect to work autonomously within a dynamic team focused on impactful security solutions for a global product ecosystem.

Competenze

• Hands-on experience building & delivering ML models for large-scale internet projects.
• Strong coding skills in at least one major language and familiarity with ML frameworks.
• Ability to think critically and work autonomously with data-driven results.

Mansioni

• Invent and deploy cutting-edge ML algorithms for e-commerce risk control.
• Leverage representation learning, graph models, and deep learning to improve detection and efficiency.
• Monitor risk metrics and refine strategies to block fraud and malicious activity.
• Analyze large volumes of content and behavior data to build robust user profiles.
• Advance privacy, interpretability, and governance in risk ML solutions.

Conoscenze

C++/Java/Python

ML/DL platforms

Formazione

Master's degree in CS/Math/ML

PhD in CS/ML/Statistics/OR

Descrizione del lavoro

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer to advance e-commerce risk control. You will develop scalable ML models to detect fraud, abuse, and security risks across TikTok's e-commerce platforms, using state-of-the-art techniques and large-scale data.

The role emphasizes privacy-safe, robust systems, with on-site collaboration in San Jose. Expect to work autonomously within a dynamic team focused on impactful security solutions for a global product ecosystem.