To protect TikTok e-commerce users and make TikTok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform
Requirements
- Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning
- Experience with Python, SQL/Hive, and Hadoop
- Strong understanding of data structures and algorithms, with excellent problem-solving ability
- Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
- Internship experience or research experience, especially in e-commerce, risk control domain
- Curiosity towards new technologies and entrepreneurship
- High levels of creativity and quick problem-solving capabilities
Responsibilities
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
- Collaborate with multidisciplinary teams to enhance current automation processes
- Build efficient data querying infrastructure for real-time and offline analysis
- Define risk control metrics and promote data-driven practices
- Document technical processes and effectively communicate results through writing, visualizations, and presentations
Other
- Bachelor's degree or above in Computer Science, Engineering, Operations Research, or related fields
- Final year or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline
- Detail oriented, effective time management, and strong analytical skills
- Commit to an onboarding date by end of year 2026
- State availability and graduation date clearly in resume
