Payments ML Engineer: Fraud & Risk Modeling Specialist

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance Technology team is seeking an experienced ML engineer to advance global payments risk controls. You will design, train, and deploy models for fraud detection, ATO prevention, and cross-border risk assessment, working with NLP, graphs, and sequence models. Collaboration across international teams is expected.

The role emphasizes scalable ML pipelines, deployment, and ongoing innovation in risk control technologies within a leading tech platform.

Qualifications

• Bachelor’s degree in CS/CE/math/data science or related.
• Strong data structures and algorithms knowledge.
• Proficiency with TensorFlow/PyTorch/MXNet and model deployment.

Responsibilities

• Refine payment risk feature engineering and fraud evaluation systems.
• Develop universal fraud and account takeover detection models.
• Explore sequence models, graph networks, and LLMs for risk control.
• Create global ML models to identify cross-border payment risks.
• Optimize modeling workflows to boost development and deployment efficiency.
• Research and apply cutting-edge ML algorithms in risk control.

Skills

Data structures & algorithms

Python

Java

C/C++

Education

Bachelor’s degree in CS/CE/Math

Tools

TensorFlow

PyTorch

MXNet

Job description

ByteDance Technology team is seeking an experienced ML engineer to advance global payments risk controls. You will design, train, and deploy models for fraud detection, ATO prevention, and cross-border risk assessment, working with NLP, graphs, and sequence models. Collaboration across international teams is expected.

The role emphasizes scalable ML pipelines, deployment, and ongoing innovation in risk control technologies within a leading tech platform.