Machine Learning Engineer (E-Commerce Risk Control)

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

Salary: $136,800–$259,200 annually

Company

USDS is a TikTok joint venture focused on data privacy, cybersecurity, national security, and protecting U.S. user data and the content ecosystem.

What you will do

• Invent, implement, and deploy machine learning algorithms to detect and mitigate fraudulent merchants, cheating influencers, malicious users, information security issues, and cross-domain risks.
• Build scalable risk control prototypes and production solutions using representation learning, graph models, deep learning, transfer learning, and multi-task learning.
• Monitor risk and business metrics, identify emerging attacks and 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, compliant, interpretable, and risk-aware machine learning capabilities for content e-commerce.

Requirements

• Master’s degree in Computer Science, Mathematics, Machine Learning, or another relevant STEM discipline.
• At least 2 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.
• Strong understanding of supervised learning, unsupervised learning, and deep learning techniques.
• Critical thinking, objective reasoning, results-oriented communication, data-driven decision-making, and the ability to work autonomously.
• Ability to work fully in person in San Jose up to 5 days per week.

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 company projects.
• Experience with fraud detection, anomaly detection, or risk control models in e-commerce or internet companies.
• Experience applying emerging technologies such as LLMs and 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.
• Inclusive workplace focused on creativity, curiosity, humility, continuous learning, and meaningful impact.
• Reasonable accommodations are available during recruitment for protected needs.