Foundation Models & Generative Recommendation Engineer

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance PTE. LTD. in Singapore is seeking researchers for the E-commerce Recommendation Foundation team to advance foundation models for cross-scenario recommendation systems.

You will explore event-sequence-driven generative approaches, integrate LLMs and multimodal understanding, and collaborate with researchers and engineers to push frontier in intelligent recommendation. The role emphasizes original exploration, research mindset, and contributing code and papers to define future paradigms

Qualifications

• Solid foundation in machine learning, deep learning, or information retrieval.
• Proficiency in Python and familiarity with PyTorch.
• Strong passion for intelligent recommendation systems and a self-driven research mindset.

Responsibilities

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

Skills

Machine learning

Deep learning

Information retrieval

Python programming

Tools

PyTorch

Job description

ByteDance PTE. LTD. in Singapore is seeking researchers for the E-commerce Recommendation Foundation team to advance foundation models for cross-scenario recommendation systems.

You will explore event-sequence-driven generative approaches, integrate LLMs and multimodal understanding, and collaborate with researchers and engineers to push frontier in intelligent recommendation. The role emphasizes original exploration, research mindset, and contributing code and papers to define future paradigms