Machine Learning Engineer (Payment & Risk) - Global Payment - Singapore

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: []

Build and improve machine learning systems that detect fraud and account takeovers across global payment scenarios. Work on payment risk feature engineering, risk-control modeling, and universal models for cross-border and regional payment risk. Explore sequence models, graph networks, and LLMs, and optimize end-to-end ML workflows to increase development and deployment efficiency while reducing maintenance costs.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer (Payment & Risk) - Global Payment - Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and improve machine learning systems that detect fraud and account takeovers across global payment scenarios. Work on payment risk feature engineering, risk-control modeling, and universal models for cross-border and regional payment risk. Explore sequence models, graph networks, and LLMs, and optimize end-to-end ML workflows to increase development and deployment efficiency while reducing maintenance costs.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Refine payment risk feature engineering and fraud evaluation systems.
  • •Develop universal fraud and account takeover (ATO) detection models for global payment scenarios.
  • •Apply sequence models, graph networks, and LLMs to risk control scenarios.
  • •Build universal ML models to identify cross-border and regional payment risks from a global perspective.
  • •Optimize modeling workflows to improve development/deployment efficiency and reduce maintenance costs.

Key Requirements

  • •Bachelor’s degree or higher in computer science, computer engineering, statistics, applied mathematics, data science, or related fields.
  • •Solid experience with data structures and algorithms.
  • •Experience training and deploying at least one framework: TensorFlow, PyTorch, or MXNet.
  • •Strong coding skills in at least one language: Python, Java, or C/C++.
  • •3+ years of relevant experience and experience in NLP, graph mining, or fraud detection (preferred).
Experience:3+ years
Education:Bachelor's in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines
Tech Stack:TensorFlowPyTorchMXNetPythonJavaC/C++LLMsGraph networksSequence models

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn