ML Engineer — Risk & Adversarial AI for Emerging Biz

TikTok Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok Inc. is seeking a Machine Learning Engineer for Emerging Business in Singapore.

You will own end-to-end risk system development, building real-time multimodal risk models and defending against AI abuse, fraud, and manipulation. You will lead PoC validation, explore advanced AI techniques including Agentic AI and graph learning, and collaborate closely with engineering, product, and growth teams to scale risk controls across new business domains.

Qualifications

• Master's degree or higher in CS, Math, Statistics or related field.
• Strong ML/DL foundation with classification, ranking, sequence modeling and anomaly detection.

Responsibilities

• Lead end-to-end risk system development for emerging TikTok businesses.
• Develop real-time risk detection models using multimodal data.
• Analyze abuse patterns and build robust adversarial risk defenses.
• Drive research and PoC validation for advanced tech like LLM agents and graph learning.
• Collaborate with cross-functional teams to deploy scalable risk controls.

Skills

Machine learning

XGBoost

DeepFM

Transformers

Graph Neural Networks

Python

C++

Go

PyTorch

Adversarial risk

Education

Master's degree or higher in CS/Math/AI

Tools

PyTorch

TensorFlow

GNN frameworks

Job description

TikTok Inc. is seeking a Machine Learning Engineer for Emerging Business in Singapore.

You will own end-to-end risk system development, building real-time multimodal risk models and defending against AI abuse, fraud, and manipulation. You will lead PoC validation, explore advanced AI techniques including Agentic AI and graph learning, and collaborate closely with engineering, product, and growth teams to scale risk controls across new business domains.