Senior Machine Learning Engineer (E-Commerce Risk Control)

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $187,040–$359,720 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

USDS Joint Venture operates TikTok apps with a focus on protecting U.S. user data, platform security, privacy, and trust and safety.

What you will do

• Invent, implement, and deploy machine learning algorithms to detect and mitigate fraudulent merchants, cheating influencers, malicious users, and information security risks.
• Build prototypes and develop novel solutions for evolving e-commerce and platform risk challenges.
• Apply representation learning, graph models, deep learning, transfer learning, and multi-task learning to improve risk detection and response.
• Monitor and attribute key metrics, identify attacks and changing risk trends, and refine risk control strategies.
• Analyze large-scale e-commerce content and user behavior data to build user profiles and improve model precision, recall, robustness, automation, and generalization.
• Advance privacy-safe, interpretable, and compliant risk machine learning capabilities.

Requirements

• Master’s degree in Computer Science, Mathematics, Machine Learning, or a relevant STEM discipline.
• 3+ years of experience building and delivering machine learning models for large-scale projects at internet companies.
• Strong coding skills in C++, Java, or Python and familiarity with at least one common machine learning or deep learning platform.
• Deep understanding of supervised learning, unsupervised learning, and deep learning techniques.
• Ability to reason critically, communicate in a results-oriented and data-driven manner, and work with high autonomy.

Nice to have

• PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related field.
• 4+ years of experience delivering machine learning models for large-scale internet projects.
• Experience in e-commerce fraud detection, anomaly detection, or risk control modeling.
• Experience applying LLMs or multi-agent systems.

Culture & Benefits

• Medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
• 10 paid holidays, 10 paid sick days, and 17 days of paid personal time, with accrual increasing by tenure.
• On-site collaboration supports rapid decision-making, team development, and integrated execution.
• Reasonable accommodations are available during recruitment for eligible candidates.