Machine Learning Engineer, E-Commerce Risk Control Specialist

3 weeks ago

Singapore TIKTOK PTE. LTD. Full time
Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our E-Commerce Risk Control team at TikTok PTE. LTD. As a key member of this team, you will be responsible for developing and implementing machine learning models to mitigate business risks in our e-commerce platforms.

Key Responsibilities
  • Design and build scalable and robust machine learning models to identify and prevent inauthentic behaviors on our e-commerce platforms.
  • Analyze large datasets to uncover evolving attack patterns and identify weaknesses in our risk defense solutions.
  • Collaborate with cross-functional teams to define and implement risk control measurements, and monitor business and operational metrics to ensure alignment with risk teams and stakeholders.
  • Support the production of optimized AI/machine learning models, and work with software platforms to deploy machine learning solutions.

Requirements
  • Bachelor's degree in Computer Science, Statistics, Math, or a related field.
  • Proficiency in statistical analytical tools, such as SQL, R, and Python.
  • Familiarity with machine learning or social/content online platform analytics.
  • Ability to think critically, objectively, and rationally, and communicate in a result-oriented, data-driven manner.

What We Offer
  • A unique opportunity to work on novel solutions to first-seen challenges in a rapidly evolving e-commerce ecosystem.
  • Collaborative and dynamic work environment with a global team.
  • Opportunities for growth and professional development.

About Us

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach.

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