Machine Learning Engineer - TikTok BRIC Live Integrity - Singapore
Core
Design and optimize high-precision, low-latency risk detection models for TikTok Live to protect community safety and financial security against adversarial scenarios.
Role type
Senior IC machine learning engineer (risk control)
Builds
Real-time risk detection models and automated defense strategies for live streaming content and transactions
Domain
Live streaming platform risk control and adversarial defense
Deliverable
production ML models
Required skills
Machine learning, deep learning, classification, clustering, sequence modeling, Python, C++, Go, TensorFlow, PyTorch, large-scale distributed systems
Preferred skills
AI Agents, LLM fine-tuning (SFT, RLHF), multimodal representation learning, video understanding, community content safety, trust & safety, anti-fraud
Technologies
XGBoost, DeepFM, Transformers
Responsibilities
Lead detection and mitigation of ecosystem/content and financial risks; Design and optimize risk detection models using multimodal data; Analyze black-market tactics to design robust defense strategies; Drive adoption of AI Agents, LLM Fine-tuning, and Multimodal Models for automated reasoning
Seniority
Senior, hands-on IC
