Senior Machine Learning Engineer, TikTok BRIC Access Safety
Core
Build machine learning solutions to detect and mitigate malicious automation, fake traffic, and compromised devices on the TikTok platform.
Role type
Senior IC machine learning engineer (security/anti-abuse)
Builds
ML models and infrastructures for traffic analysis, anomaly detection, and client environment monitoring
Domain
Internet security / Anti-abuse / Bot detection
Deliverable
production ML models
Required skills
Python, SQL, Hive, Spark, Linux, deep neural nets, transfer/multi-task learning, reinforcement learning, time series analysis, graph unsupervised learning
Preferred skills
Bot/large abusive traffic detection experience, industry software development experience
Technologies
Python, SQL, Hive, Spark, Linux
Responsibilities
Analyze data from client-side security SDKs to identify anomalies in client environments and user behavior; Improve modeling infrastructures, labels, features, and algorithms for robustness and automation; Enhance risk ML excellence regarding privacy, compliance, interpretability, and risk analysis.
