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

MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, RISK CONTROL) - 2027 START
TikTok
Singapore (nationwide) (nationwide)

About This Position

The Machine Learning Engineer Graduate role at TikTok's E-Commerce Risk Control (ECRC) team is a full-time position based in Singapore (nationwide) (nationwide). As part of the ECRC team, you will contribute to safeguarding the integrity of our e-commerce ecosystem and ensuring a safe shopping experience for all users on the platform.

Key Responsibilities

• Develop and implement machine learning models to enhance risk management and security measures within the e-commerce space.
• Collaborate with cross-functional teams to build infrastructures, platforms, and technologies that support ECRC's mission.
• Analyze data and trends to identify potential risks and develop strategies to mitigate them effectively.
• Contribute to the continuous improvement of our risk control systems through innovative solutions and cutting-edge technology.

Who We're Looking For

• Degree in Computer Science, Data Science, or a related field with a focus on machine learning.
• Strong foundation in programming languages such as Python, R, and experience with data analysis tools.
• Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn is preferred.
• Aptitude for problem-solving and ability to work independently or as part of a team.
• Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Working at TikTok

TikTok offers a dynamic and innovative environment where you can apply your expertise in machine learning to make a significant impact. Our team is committed to fostering an inclusive culture that values diversity, creativity, and collaboration. Join us as we continue to shape the future of e-commerce risk control.

Next Steps

To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. We look forward to hearing from you!