Graduate ML Engineer - Real-Time Fraud & Risk AI

TikTok; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

TikTok's E-Commerce Risk Control (ECRC) team seeks graduates to develop domain-specific ML models, LLMs and AI agents to decode and prevent cross-domain fraud, helping secure the ecommerce ecosystem and provide a safe shopping experience for buyers, sellers and creators.

As a new graduate, you will analyze security and business data to identify abnormal user behavior, productionize AI pipelines for real-time prevention at scale, and collaborate with cross-functional teams to deploy and monitor

Qualifications

• Bachelor's or Master's in Software Development, CS, or Computer Engineering.
• Good coding skills in one or more programming languages.

Responsibilities

• Develop domain-specific machine learning / LLMs / Agents to decode and prevent intricate, cross-domain fraudulent activities.
• Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
• Productionize AI agent pipelines engineered for real-time prevention under massive global traffic.
• Analyze / test the effectiveness of the built solutions.
• Work in a cross-functional team setting to mitigate business risks.
• Work with relevant software platform to develop/deploy/monitor the models.

Skills

Coding skills

Critical thinking

Education

Bachelor's or Master's in Software Development/CS/Computer Engineering

Job description

TikTok's E-Commerce Risk Control (ECRC) team seeks graduates to develop domain-specific ML models, LLMs and AI agents to decode and prevent cross-domain fraud, helping secure the ecommerce ecosystem and provide a safe shopping experience for buyers, sellers and creators.

As a new graduate, you will analyze security and business data to identify abnormal user behavior, productionize AI pipelines for real-time prevention at scale, and collaborate with cross-functional teams to deploy and monitor