Machine Learning Engineer - Global Payment - Singapore

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: []

Build and deploy machine learning models to detect, respond to, and mitigate risks in Global Payments products. Improve ML modeling infrastructure, labels, features, and algorithms to increase robustness, automation, and generalization while reducing operational load for risk teams and new product/risk rollouts. Deepen risk ML expertise in areas like privacy/compliance, interoperability, and risk perception. Collaborate with data intelligence efforts to optimize fraud, chargeback, and compliance metrics.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer - 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 deploy machine learning models to detect, respond to, and mitigate risks in Global Payments products. Improve ML modeling infrastructure, labels, features, and algorithms to increase robustness, automation, and generalization while reducing operational load for risk teams and new product/risk rollouts. Deepen risk ML expertise in areas like privacy/compliance, interoperability, and risk perception. Collaborate with data intelligence efforts to optimize fraud, chargeback, and compliance metrics.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build machine learning models to respond to and mitigate risks in Global Payments products.
  • •Improve modeling infrastructures, labels, features, and algorithms for robustness, automation, and generalisation.
  • •Reduce modeling and operational load on risk adversaries and during new product/risk ramp-ups.
  • •Optimize payment risk metrics such as fraud rate, chargeback rate, and compliance rate using data intelligence approaches.
  • •Develop risk ML expertise in areas like privacy/compliance, interoperability, and risk perception.

Key Requirements

  • •Build ML models to mitigate risks in Global Payments products.
  • •Improve ML modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
  • •Level up risk ML expertise in domain areas such as privacy/compliance, interoperability, and risk perception.
  • •Bachelor’s degree or above in Computer Science, Statistics, Mathematics, or related majors.
  • •Proficient in Python, Java, or Scala and big data tools such as SQL/Hive/Spark; experience with ML and deep learning models (5+ years preferred).
Experience:5+ yearsPaymentsData intelligenceFraudAnti-fraudRisk managementTrust and safety
Education:Bachelor's
Tech Stack:PythonJavaScalaSQLHiveSparkMachine LearningDeep Learning

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