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Strong fit if you want applied ML on large consumer/e-commerce risk problems at TikTok, are open to Singapore office work (not remote), and can start in the 2027 graduate window. Thin DATA on pay, culture scores, and occupation ladders—verify those directly with recruiting.
As a Machine Learning Engineer Graduate on TikTok’s global e-commerce risk-control team in Singapore, a typical day may include reviewing risk labels and offline metrics, training or evaluating models for fraud/abuse signals, partnering with product and operations on feature rollout, writing experiments and monitoring dashboards, and documenting model behavior before a 2027 full start under a graduate program cadence.
DATA lists no certifications. Prioritize supervised learning, ranking/classification for risk, feature pipelines, evaluation under class imbalance, Python/SQL, and clear experiment design. Learn production monitoring (drift, precision/recall tradeoffs) relevant to e-commerce trust systems.
No. The listing is Singapore-based with remote set to off.
Machine learning for e-commerce trust and safety—spotting fraud, abuse, and related risk on TikTok’s commerce surfaces.
The title indicates a 2027 graduate start; confirm cohort dates with the hiring team.
Website: tiktok.com
Public cache only — not an employee review.
MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, RISK CONTROL) - 2027 STARTTikTokSingapore 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. 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!
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