About the team TikTok Shop is a content e-Commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. TikTok Shop business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, thereby making more affordable and high-quality products easily accessible and improving lives.
As a Singapore team, we are responsible for security threat analysis in the non-China region and producing technical solutions. Our key areas include, but are not limited to, information leakage analysis, anti-scraping detection, device & account security analysis, traffic security analysis, data profiling, and building general awareness capabilities. We collaborate with business partners, engineers, and blue team members to provide a trusted shopping environment for e-commerce platform participants.
Responsibilities
- Adopt AI technologies to identify abnormal traffic, detect anomalous user behavior patterns, and empower intelligent attack traceability to dispose of complex and variant security incidents efficiently.
- Build machine traffic identification models using machine learning algorithms to effectively identify crawler traffic in e-commerce business scenarios and implement corresponding disposal and interception strategies.
- Conduct traceability analysis on e-commerce security incident cases based on system logs, traffic data, and intelligence data, and summarise mainstream attack methods and threat characteristics.
- Conduct incident response and traceability analysis for traffic security incidents in the e-commerce field, sort out attack paths and defense vulnerabilities, and output standardized incident analysis reports and optimization suggestions.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Minimum Qualifications:
- Currently pursuing a Undergraduate in Computer Science, Computer Engineering or a related technical discipline.
- Gain a deep understanding of machine learning fundamentals and master anomaly detection, graph neural networks, temporal modeling, and cluster analysis. Good data analysis skills, with experience in security log analysis/mining, and strategy development.
- Coding experience with general purpose development tools (e.g. Python, Spark, SQL).
- Solid foundation in computer science and network security, with an understanding of common cyber attacks and defense countermeasures.
Preferred Qualifications:
- Good communication skills to support cross-team collaborations, enthusiastic about learning new technologies and tackling challenging problems in a fast-paced work environment.
- Familiar with internet business risk scenarios, common black and gray industry chain operations, and cheating techniques.