AI Security Analysis Engineer Graduate (TikTok Shop-Security) - 2027 Start

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. - 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 our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Qualifications Minimum Qualifications: - Undergraduate or Postgraduate who is currently pursuing a degree or master's in Computer Science, Computer Engineering, or a related technical discipline, and is available to commence full-time employment by the end of the year. - 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.