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Prepare ML fundamentals, imbalanced classification metrics, system design for streaming or near-real-time scoring, and clear stories about projects where you measured error cost, not only accuracy. Expect coding plus discussion of fraud/risk trade-offs (user friction vs. loss).
Strong fit if you want graduate-level applied ML in Singapore at TikTok, care about real-time systems that affect safety and money risk, and prefer production impact over pure research. Less fit if you need remote work or pure research without operational ownership.
As a Graduate ML Engineer on real-time fraud and risk AI at TikTok, a typical day would center on learning production ML for abuse, payments, or account risk: reviewing features and labels, training or evaluating models under latency constraints, debugging false positives with product and trust partners, and shipping guarded experiments behind monitoring. Expect heavy reading of logs and metrics, pair work with senior engineers, and careful rollout discipline on live traffic.
Prioritize Python, classical and deep learning for tabular/sequence signals, online feature design, evaluation under class imbalance, and basics of low-latency serving and monitoring. No certification list or costs were provided for this listing.
The listing is for Singapore with remote flagged as no, so plan on local presence unless the employer later states otherwise.
Models and pipelines that score risk quickly enough for live product decisions—features, evaluation, and careful deployment with monitoring.
No verified pay bands or review scores were supplied in the source data, so none are stated.
Website: tiktok.com
Public cache only — not an employee review.
TikTok - Graduate ML Engineer - Real-Time Fraud & Risk AILocation: SingaporeEmployment Type: Full Time, No Remote Role Overview TikTok's E-Commerce Risk Control (ECRC) team in Singapore is seeking graduates to develop domain-specific machine learning models, large language models (LLMs), and AI agents. The goal is to decode and prevent cross-domain fraud, ensuring the security of the e-commerce ecosystem and providing a safe shopping experience for buyers, sellers, and creators. Responsibilities Analyze security and business data to identify abnormal user behavior Develop ML models, LLMs, and AI agents to detect and prevent fraud Productionize AI pipelines for real-time risk assessment and mitigation Collaborate with cross-functional teams to integrate solutions into the e-commerce platform Who We're Looking For Recent graduates in Computer Science, Data Science, or related fields Strong background in machine learning and data analysis Familiarity with Python, R, or other programming languages used for ML Experience with large language models (LLMs) is a plus Excellent problem-solving skills and ability to work independently Ability to communicate complex technical concepts to non-technical stakeholders About the Company TikTok is a global social media platform owned by ByteDance. The company's ECRC team plays a crucial role in maintaining the integrity of its e-commerce ecosystem, leveraging advanced AI and ML technologies to combat fraud. 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.
Generated for personal interview prep · 2026-08-06 UTC · getajob.ai