Graduate ML Engineer - Real-Time Fraud Risk AI

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance in Singapore is seeking a PhD-level researcher to develop domain-specific ML/LLMs and Agents to decode and prevent intricate fraud across domains. You will analyze massive data, build production-grade AI pipelines for real-time prevention, and work with cross-functional teams to mitigate risk while deploying scalable models.

The role emphasizes scientific rigor, hands-on ML tooling, and collaboration with global teams to achieve practical, impactful outcomes within a fast-growing tech

Qualifications

• PhD in Computer Science or related technical discipline completed or near completion.
• Strong coding skills in one or more programming languages.

Responsibilities

• Analyze massive data to mine abnormal user behavior and evolving patterns.
• Productionize AI agent pipelines for real-time prevention at large scale.
• Test and validate the effectiveness of built solutions.
• Collaborate in cross-functional teams to mitigate business risks.
• Develop, deploy and monitor models with relevant software platforms.

Skills

PhD in Computer Science

Strong coding skills

Education

PhD in Computer Science/Software Development

Tools

PyTorch

Scikit-learn

LangChain

Hugging Face Transformers

Job description

ByteDance in Singapore is seeking a PhD-level researcher to develop domain-specific ML/LLMs and Agents to decode and prevent intricate fraud across domains. You will analyze massive data, build production-grade AI pipelines for real-time prevention, and work with cross-functional teams to mitigate risk while deploying scalable models.

The role emphasizes scientific rigor, hands-on ML tooling, and collaboration with global teams to achieve practical, impactful outcomes within a fast-growing tech