Graduate Generative Large-Model Recommendation Engineer

TikTok; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

TikTok is seeking a Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) with a PhD to join our E-commerce Recommendation Foundation team in Singapore. The role focuses on building next-generation foundation models for cross-business recommendations, integrating LLMs and multimodal understanding to drive intelligent, generative capabilities.

As a graduate, you will explore bold ideas, contribute to model training and system co-design, and collaborate across disciplines

Qualifications

• PhD in software development, CS, or related field with strong ML foundation.
• Solid theoretical grounding in machine learning, deep learning, or information retrieval.
• Proficiency in Python and familiarity with PyTorch or similar DL frameworks.
• Self-driven research mindset and passion for intelligent recommendation systems.

Responsibilities

• Build and optimize cross-scenario shared Foundation Models for unified modeling and efficient inference.
• Advance event-sequence-driven generative recommendation with multimodal understanding.
• Apply LLM techniques across retrieval, ranking, and re-ranking; participate in training and optimization.
• Explore integration of LLMs/VLMs with recommendation systems for adaptive, evolving agents.
• Research end-to-end generative methods balancing efficiency and user experience.

Skills

Python

PyTorch

Machine Learning

Education

PhD degree in Software Development, Computer Science, Computer Engineering, or related technical discipline

Tools

PyTorch

Job description

TikTok is seeking a Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) with a PhD to join our E-commerce Recommendation Foundation team in Singapore. The role focuses on building next-generation foundation models for cross-business recommendations, integrating LLMs and multimodal understanding to drive intelligent, generative capabilities.

As a graduate, you will explore bold ideas, contribute to model training and system co-design, and collaborate across disciplines