Staff Machine Learning Engineer, TikTok BRIC Community Health
Core
Build scalable ML solutions to detect and mitigate business risks like abusive accounts, fake engagements, spam, and fraud across TikTok products.
Role type
Staff Machine Learning Engineer (Security & Risk)
Builds
Scalable, privacy-safe ML systems for community health and platform security
Domain
Social Media / Cybersecurity / Fraud Detection
Deliverable
production ML models
Required skills
Deep learning, Graph learning, Sequence modeling, Transfer learning, Unsupervised learning, Large-scale data processing, Python, Java/C++/Go
Preferred skills
LLMs, Generative AI, Agentic workflows, Risk/fraud detection domain expertise, Research publications
Technologies
Spark, Hadoop, Hive
Responsibilities
Build ML solutions to mitigate business risks; Improve modeling infrastructures and algorithms; Advance ML capabilities in risk perception, interpretability, and adversarial robustness
Seniority
Staff, hands-on IC with strategic impact
