ML Engineer: Risk & Security Intelligence

TikTok; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

TikTok is seeking a senior machine learning engineer in the Business Risk Integrated Control (BRIC) team to help protect users and ensure platform health in Singapore. You will design and deploy ML models addressing abuse, spam, and fraud at scale, collaborating with cross-functional teams.

The role requires 3–5 years of relevant experience, a strong ML foundation, and hands-on engineering skills with big data tools.

Qualifications

• Bachelor or above degree in computer science, statistics or related ML-heavy fields.
• Strong ML background with practical experience in modern ML theories and applications.
• Minimum 3–5 years of relevant work experience in large-scale internet businesses.

Responsibilities

• Build ML solutions to mitigate platform risks (abusive accounts, spam, fraud).
• Improve modeling infrastructure, labels, features, and algorithms for robustness and automation.
• Advance privacy, interpretability, and risk analysis across risk ML initiatives.

Skills

Strong ML background

Data-driven decision making

Analytical thinking

Autonomy

Effective communication

Education

Bachelor's degree in computer science or statistics

Tools

Linux

Hadoop

Hive

Spark

Storm

Job description

TikTok is seeking a senior machine learning engineer in the Business Risk Integrated Control (BRIC) team to help protect users and ensure platform health in Singapore. You will design and deploy ML models addressing abuse, spam, and fraud at scale, collaborating with cross-functional teams.

The role requires 3–5 years of relevant experience, a strong ML foundation, and hands-on engineering skills with big data tools.