Generative Recommendation Engineer Intern

TikTok; Singapore; On-site; SGD 11,000 - 22,000; Part time

Job summary

TikTok is seeking interns for the E-commerce Recommendation Foundation team in Singapore. You will gain hands-on experience contributing to next-generation recommendation intelligence, focusing on foundation models and the full pipeline from retrieval to re-ranking.

Work with researchers and engineers to explore LLMs, multimodal learning, and system optimization, while applying your knowledge to real-world challenges and building a strong foundation for your AI career.

Qualifications

• Currently pursuing an undergraduate or master's degree in a technical field such as software development, computer science or computer engineering.
• Solid foundation in machine learning, deep learning, or information retrieval.
• Proficiency in Python and familiarity with PyTorch or similar frameworks.

Responsibilities

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

Skills

Python

PyTorch

Machine learning

Information retrieval

Deep learning

Education

Undergraduate or Master’s in CS/Software Development

Job description

TikTok is seeking interns for the E-commerce Recommendation Foundation team in Singapore. You will gain hands-on experience contributing to next-generation recommendation intelligence, focusing on foundation models and the full pipeline from retrieval to re-ranking.

Work with researchers and engineers to explore LLMs, multimodal learning, and system optimization, while applying your knowledge to real-world challenges and building a strong foundation for your AI career.