Machine Learning Engineer (After-sales Experience) - TikTok E-commerce Governance

Develop and optimize machine learning / deep learning models for after-sales scenarios, build intelligent decision-making systems for responsibility attribution and dispute resolution, and optimize real-time and offline feature engineering pipelines for large-scale transactional and behavioral data.

Requirements

• Bachelor’s degree or above in Computer Science, Statistics, Mathematics, or related fields.
• At least 1 year of experience in machine learning, recommendation systems, risk control, or related algorithm domains.
• Solid understanding of machine learning and deep learning fundamentals, with hands-on project experience.
• Experience in one or more of the following areas: Data Mining, NLP, Graph Learning, Risk Modeling.
• Proficient in Python and familiar with at least one of Go/C++ under Linux development environment.
• Strong analytical thinking and problem-solving skills, with a data-driven mindset.
• Good communication skills and strong teamwork spirit.

Benefits

• Health insurance
• Retirement plan
• Paid time off