Beranda Loker Detail
T
Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Machine Learning Engineer - TikTok E-Commerce

TikTok
Singapore
Estimasi Gaji
SGD 120.000 – SGD 180.000
Live Update
26 April 2026
Batas Akhir
26 Apr 2027

Deskripsi Pekerjaan

Are you passionate about building trustworthy e-commerce ecosystems? TikTok is looking for an experienced Machine Learning Engineer to join our E-Commerce Risk Control (ECRC) team in Singapore. As part of this mission-critical team, you will play a pivotal role in protecting our global users and merchants by identifying and mitigating inauthentic behaviors across TikTok Shop and related platforms.

You will leverage state-of-the-art machine learning algorithms to process high-velocity data, build robust fraud detection models, and ensure a seamless, safe shopping experience. This is a unique opportunity to work at the intersection of large-scale systems and AI, driving innovation in one of the world's fastest-growing e-commerce environments.

Tanggung Jawab

  • Design, develop, and deploy scalable machine learning models to detect inauthentic behavior, fraud, and policy violations.
  • Collaborate with cross-functional teams (Product, Data Science, and Engineering) to identify risk vectors and define technical solutions.
  • Optimize model performance for high-concurrency environments, ensuring low-latency inference.
  • Engineer complex features from large-scale structured and unstructured datasets to improve model accuracy.
  • Conduct deep-dive data analysis to understand attacker patterns and evolving threats in e-commerce.
  • Maintain and monitor the lifecycle of ML models, from data pipeline integration to production deployment and A/B testing.
  • Contribute to the architecture of our real-time risk control systems, ensuring high availability and reliability.

Kualifikasi

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 3+ years of professional experience in machine learning, specifically in fraud detection, recommendation systems, or classification tasks.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Strong expertise in big data technologies including Spark, Flink, or Hive.
  • Solid understanding of data structures, algorithms, and system design.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience in the e-commerce or digital platform security domain is a significant advantage.

Keahlian yang Dibutuhkan

Machine Learning Python PyTorch TensorFlow Big Data Data Engineering Fraud Detection Spark Risk Control Distributed Systems

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