Minimize the damage of inauthentic behaviors on Tiktok E-Commerce platforms, covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious behaviors, brushing, click-farm, information leakage, etc.
Requirements
- 4+ 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.
- 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.
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.
Other
- Master’s degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM fields.
- Strong critical, objective, and thinking skills; able to reason and communicate in a results-oriented, data-driven manner with high autonomy.
- 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.
- This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
- Our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department.
