Machine Learning Engineer Graduate (TikTok BRIC Singapore) - 2027 Start
Core
Design and deploy large-scale AI/ML models for risk detection and mitigation across TikTok's global ecosystem, focusing on identifying abusive and fraudulent activities in short-form video, LIVE, and social interactions.
Role type
Machine Learning Engineer (Risk Control & Trust & Safety)
Builds
Intelligent risk detection and mitigation solutions for TikTok's global ecosystem
Domain
Social Media / Trust & Safety / Risk Control
Deliverable
production ML models
Required skills
Computer Vision (CV), Natural Language Processing (NLP), Sequence Modeling, Graph Learning, Large Language Models (LLMs), Python, C++, Java, big data processing frameworks (Hive, Spark, Flink), model deployment, offline/online evaluation
Preferred skills
Trust & Safety, Risk Control, Fraud Detection, Content Moderation, anomaly detection, large-scale online machine learning systems
Technologies
LLMs, multimodal foundation models, graph learning, agentic AI, Hive, Spark, Flink
Responsibilities
Design intelligent risk detection solutions; Build and deploy large-scale AI/ML models; Research next-generation risk intelligence algorithms; Collaborate with product and engineering teams; Improve model performance through analysis and experimentation; Explore emerging AI technologies for security challenges
