ML Engineer — Graph Learning for E‑commerce Risk

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

Job summary

ByteDance Singapore seeks a highly skilled ML/AI specialist to advance risk detection and content understanding on its e-commerce platform. You will design and implement scalable machine learning models, graph learning solutions, and AI-Agent projects that support live operations and product governance.

PhD in a relevant field, strong coding with PyTorch/TensorFlow, and experience with large data tools are required. Collaborative culture and impactful work await.

Qualifications

• PhD in Software Development, Computer Science, or a related technical discipline.
• Solid coding skills, familiarity with DL/graph ML frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn.
• Familiar with graph learning/sequence learning algorithms with depth and breadth.
• Experience building AI-Agent projects, agent workflows, tool calling, multi-agent collaboration or LLM apps.
• Industry experience with solid ML foundations.

Responsibilities

• Mine, identify, and predict risks and low-quality merchants, products, and creators using algorithms.
• Identify events affecting product experience and build data models to support operations.
• Build data for entities like live streaming, products, merchants, and creators; develop graph models for content understanding and governance.
• Develop a large-scale graph storage/learning platform to improve community governance.
• Explore cutting-edge ML/graph/sequence learning tech and apply to scalable production models.

Skills

Deep learning

Graph neural networks

Machine learning

PyTorch

TensorFlow

DGL

pyg

sklearn

Education

PhD in Software Development/CS/Engineering

Tools

Hive

Spark

Hadoop

Job description

ByteDance Singapore seeks a highly skilled ML/AI specialist to advance risk detection and content understanding on its e-commerce platform. You will design and implement scalable machine learning models, graph learning solutions, and AI-Agent projects that support live operations and product governance.

PhD in a relevant field, strong coding with PyTorch/TensorFlow, and experience with large data tools are required. Collaborative culture and impactful work await.