Machine Learning Engineer Graduate - Global E-Commerce Risk Control
Singapore · Full Time
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- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 2 minutes ago
- Work mode
- In office
- Education
- Bachelor's or Master's degree in Software Development, Computer Science, Computer Engineering or related field
- Resume
- Required to apply
Where you'll work
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Job description
About the Team
The E-Commerce Risk Control (ECRC) team is dedicated to protecting e-commerce participants—including buyers, sellers, and creators—by ensuring a secure and trustworthy shopping environment. We achieve this by developing supporting infrastructures, platforms, and advanced technologies, while collaborating with diverse cross-functional teams.
Job Responsibilities
- Design and implement domain-specific machine learning models, large language models (LLMs), and agentic systems to detect and prevent complex, cross-domain fraudulent activities.
- Analyze extensive business and security datasets to identify abnormal user behaviors and emerging risk patterns.
- Build and deploy AI agent pipelines optimized for real-time threat prevention across vast global traffic.
- Evaluate and validate the performance and effectiveness of developed solutions.
- Collaborate within cross-functional teams to reduce business risk exposure.
- Utilize relevant software platforms for model development, deployment, and monitoring.
Minimum Qualifications
- Recent graduates or soon-to-be graduates with a Bachelor's or Master's degree in Software Development, Computer Science, Computer Engineering, or related technical fields.
- Proficient coding ability in at least one programming language.
Preferred Qualifications
- Strong foundation in machine learning, LLMs, and agentic systems, with practical experience using frameworks such as PyTorch, Scikit-learn, LangChain, and Hugging Face Transformers.
- Critical thinking skills and effective communication that emphasizes data-driven, outcome-focused results.
Additional Information
Candidates must be able to commit to an onboarding date before the end of the current year. Please specify your availability and graduation date clearly in your application. Applicants may apply to a maximum of two positions within the company and its global affiliates. Applications are reviewed on a rolling basis; early applications are encouraged.
About the Company
This role is with TikTok, a platform leading the short-form mobile video space, with headquarters globally including Singapore. The company fosters creativity and joy by connecting people worldwide through innovative products and diverse teams. TikTok values curiosity, humility, resilience, and continuous innovation to make an impactful difference in the tech industry.
Diversity and Inclusion
TikTok is committed to maintaining an inclusive workplace where employee skills, experiences, and perspectives are valued. The company actively celebrates diversity to mirror the broad global communities it serves and aims to cultivate an environment that inspires creativity and joy.
Minimum education
Master's Degree