Employment Type
Application Dates
Opportunity Overview
Graduate Jobs
Competitive Salary
Required Level of Study
Bachelor degree
Areas of Work
IT and Technology
Degrees Accepted
E Engineering, Maths, IT & Computer Sciences
Computer science & IT
Electrical and electronic engineering & related
Maths, statistics & related

Machine Learning Engineer, TikTok eCommerce (Risk Control) - 2024 Start


  • Respond to and mitigate business risks in ByteDance E-Commerce including and not limited to Incentive abuse, brushing order, malicious behaviors, payment fraud, ATO etc.;

  • Establish reliable, efficient and modularized risk defense solutions, reduce the manual workload on ramping up risk controls on/against new business scenario, risk area, or abusive means;

  • Uplevel risk defense excellence on privacy/compliance, machine learning, risk perception and analysis, achieve in-depth defense portfolio.


  • Final year or recent graduate with a background in Computer Science, Computer Engineering, Information Systems or other STEM disciplines (e.g. finance if applying for payment fraud positions);

  • Solid data mining or machine learning background; - Proficiency in at least two - Linux, Hadoop, Hive, Spark or Storm;

  • Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner, with high autonomy;

  • Deep understanding of modern machine learning theory and applications, especially around popular neural nets (e.g. natural language processing, graph embedding), and/or relevant unsupervised/semisupervised/transfer learning. Hands-on industrial model development skills and strong data science sense/habit.