PhD‑Driven Large-Scale Recommendation Model Engineer

ByteDance; Singapore; On-site; SGD 70,000 - 105,000; Full time

Job summary

ByteDance is seeking a Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) for a 2027 start. The role focuses on building and optimizing foundation models, cross-scenario sharing, and exploring LLM/VLM integration within a scalable recommender system.

You will work with Python and PyTorch, contribute to research in large-scale models, and collaborate across teams to balance efficiency and user experience.

Qualifications

• PhD in CS/ML or related field.
• Strong foundations in machine learning/deep learning/information retrieval.
• Proficiency in Python and PyTorch.

Responsibilities

• Build and optimize cross-scenario shared Foundation Models for unified modeling and efficient inference.
• Advance event-sequence-driven generative recommendation, integrating multimodal understanding and generative capabilities.
• Apply LLM technologies across retrieval, ranking, and re-ranking; participate in training and inference optimization.

Skills

PhD in CS/ML

Python

PyTorch

Research mindset

Education

PhD

Tools

PyTorch

Job description

ByteDance is seeking a Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) for a 2027 start. The role focuses on building and optimizing foundation models, cross-scenario sharing, and exploring LLM/VLM integration within a scalable recommender system.

You will work with Python and PyTorch, contribute to research in large-scale models, and collaborate across teams to balance efficiency and user experience.