Senior Machine Learning Engineer, TikTok BRIC Community Health
Core
Build scalable ML solutions to detect and mitigate business risks like abuse, fraud, and spam across TikTok products.
Role type
Senior IC machine learning engineer (risk & fraud)
Builds
Scalable risk detection systems and modeling infrastructure for TikTok, CapCut, and Lark
Domain
Social media platform security and community risk
Deliverable
production ML models
Required skills
deep learning, graph learning, sequence/time-series modeling, transfer/multi-task learning, unsupervised/self-supervised learning, large-scale data processing, Python, Java/C++/Go
Preferred skills
LLMs, generative AI, agent development, research publications
Technologies
Spark, Hadoop, Hive
Responsibilities
Build ML solutions to mitigate abusive accounts, fake engagements, and fraud; Improve modeling infrastructures and algorithms for robustness and automation; Advance ML capabilities in risk perception, model interpretability, and adversarial robustness
Seniority
Senior, hands-on IC
