AI Security Analysis Engineer Graduate (TikTok Shop-Security)

About the role

TikTok Shop is a content e-commerce business, and its Singapore team handles security threat analysis for the non-China region and produces technical solutions. The team works with business partners, engineers and blue team members to protect the platform, covering information leakage, anti-scraping detection, device and account security, traffic security, data profiling and general awareness. The role is open to graduates starting in 2027.

Key responsibilities

• Use AI to identify abnormal traffic and anomalous user behaviour, and to trace attacks efficiently
• Build machine-learning-based traffic identification models to detect crawler traffic and apply interception strategies
• Analyse e-commerce security incidents through system logs, traffic data and intelligence data, summarise attack methods and threat characteristics
• Trace attack paths and defence vulnerabilities in traffic security incidents and write standardised incident reports with improvement suggestions

Required profile

• Undergraduate or postgraduate student in Computer Science, Computer Engineering or a related field, available to start full-time by the end of the year
• Graduates must state their availability and graduation date in their resume; applications are reviewed on a rolling basis
• Candidates can apply to at most two positions

Required skills

• Machine learning fundamentals, including anomaly detection, graph neural networks, temporal modelling and cluster analysis
• Data analysis and security log analysis or mining
• Coding with Python, Spark and SQL
• Foundation in computer science and network security, including common cyber attacks and countermeasures
• Preferred: familiarity with internet business risks, black and grey industry chains and cheating techniques