Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2027 Start (PhD)

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Critical thinking","Data-driven communication","Analytical thinking","Problem-solving","Cross-functional collaboration"]

Develop domain-specific machine learning, LLM, and agent systems to detect and prevent complex, cross-domain fraud across the global e-commerce ecosystem. You’ll analyze large-scale business and security data to identify abnormal behavior and emerging risky patterns, then productionize real-time AI agent pipelines for massive traffic. Collaborate cross-functionally to mitigate business risk, test solution effectiveness, and deploy/monitor models on relevant software platforms.

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FursaFursa
ByteDance
ByteDance
1 day ago

Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2027 Start (PhD)

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Last checked: 13 hours agoStatus: Live

Job Summary

Develop domain-specific machine learning, LLM, and agent systems to detect and prevent complex, cross-domain fraud across the global e-commerce ecosystem. You’ll analyze large-scale business and security data to identify abnormal behavior and emerging risky patterns, then productionize real-time AI agent pipelines for massive traffic. Collaborate cross-functionally to mitigate business risk, test solution effectiveness, and deploy/monitor models on relevant software platforms.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Develop domain-specific machine learning, LLMs, and agents to decode and prevent intricate, cross-domain fraudulent activities.
  • •Analyze large volumes of business and security data to uncover abnormal user behavior and evolving risky patterns.
  • •Productionize AI agent pipelines for real-time prevention under massive global traffic.
  • •Analyze and test the effectiveness of the developed solutions.
  • •Collaborate in cross-functional teams to mitigate business risks and work with relevant software platforms to develop, deploy, and monitor models.

Key Requirements

  • •Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Strong coding skills in one or more programming languages.
  • •Good knowledge of machine learning, LLMs, and agentic systems.
  • •Hands-on experience with frameworks including PyTorch, Scikit-learn, LangChain, and Hugging Face Transformers.
  • •Ability to think critically, communicate clearly with data-driven, result-oriented reasoning.
Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering, or a related technical discipline
Skills:Critical thinkingData-driven communicationAnalytical thinkingProblem-solvingCross-functional collaboration
Tech Stack:Machine learningLLMAgentic systemsPyTorchScikit-learnLangChainHugging Face Transformers

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