Machine Learning Engineer, E-Commerce Risk Control - ...

Job Summary: TikTok is a leading social media platform dedicated to inspiring creativity and bringing joy to its users. They are seeking a Machine Learning Engineer for their E-Commerce Risk Control team, responsible for developing innovative machine learning solutions to mitigate risks associated with e-commerce activities. The role involves implementing advanced algorithms to enhance risk detection and ensure the security of the platform. Responsibilities: • Invent, implement, and deploy state-of-the-art machine learning algorithms, build prototypes, and explore entirely new conceptual solutions to address and mitigate business risks in TikTok e-commerce/platforms, including but not limited to fraudulent merchants, cheating influencers, malicious users, information security issues, and cross-domain risk challenges. • Utilize techniques such as representation learning, graph models, deep learning, transfer learning, and multi-task learning to improve the efficiency of problem detection, enabling rapid risk mitigation and optimizing various metrics of the e-commerce community ecosystem. • Monitor and attribute key metrics to promptly perceive changes in risk and business, proactively identify potential attacks, continuously optimize and adjust risk control strategies, and drive the development of risk governance and business model adjustments. • Mine and analyze massive e-commerce content and user behavior data to build both short-term and long-term user profiles, improving model accuracy and recall, as well as enhancing robustness, automation, and generalization capabilities. • Advance risk machine learning capabilities in privacy/compliance, interpretability, risk perception, and analysis; innovate models and algorithms tailored to the characteristics of content e-commerce, building an industry-leading content e-commerce risk control algorithm system. Qualifications: Required: • Master’s degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM fields. • 1+ years of hands-on experience building and delivering machine learning models for large-scale projects in internet companies. • Proficient in C++/Java/Python with strong coding skills, and familiarity with at least one common machine learning/deep learning platform. • Experience in e-commerce/internet companies in fraud or risk control roles, with a track record of building fraud detection, anomaly detection, or other risk control models using relevant algorithms. • Strong critical, objective, and thinking skills; able to reason and communicate in a results-oriented, data-driven manner with high autonomy. Preferred: • PhD in Computer Science, Machine Learning, Statistics, Operations Research, or related fields. • 5+ years of hands-on experience in building and delivering large-scale risk control projects in internet/e-commerce companies, with proven success in large-scale anti-fraud data mining; strong coding (backend, infrastructure, algorithms) and system design skills. • Strong technical leadership combined with hands-on data mining and machine learning expertise; passionate about tackling TikTok’s data scale and business complexity; able to identify, plan, and lead both quick-win tactics and long-term strategies, guiding teams to counteract malicious actors on the platform. • High sense of ownership, excellent communication and collaboration skills; able to end-to-end manage one or more critical, highly adversarial, constantly expanding, and cross-functional platform/community security business areas. Company: TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. Founded in 2003, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

Created: 2026-03-05