Foundation Model Engineer - Large Recommendation Systems

Pangleglobal; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Pangleglobal in Singapore seeks a Large Recommendation Model Algorithm Engineer. This role focuses on building advanced recommendation systems using machine learning and deep learning, specifically applying LLM technologies. Responsibilities include optimizing Foundation Models and exploring multimodal understanding within recommendation paradigms. Candidates should have a strong background in Python and a passion for intelligent systems. Preferred qualifications include experience in large-scale systems and research in LLMs or reinforcement learning.

Qualifications

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

Responsibilities

• Build and optimize cross-scenario shared Foundation Models for unified modeling.
• Apply LLM technologies across retrieval and ranking stages.
• Explore the integration of LLMs with recommendation systems.
• Research generative recommendation and system optimization methods.

Skills

Machine learning

Deep learning

Python

Information retrieval

Tools

PyTorch

Job description

Pangleglobal in Singapore seeks a Large Recommendation Model Algorithm Engineer. This role focuses on building advanced recommendation systems using machine learning and deep learning, specifically applying LLM technologies. Responsibilities include optimizing Foundation Models and exploring multimodal understanding within recommendation paradigms. Candidates should have a strong background in Python and a passion for intelligent systems. Preferred qualifications include experience in large-scale systems and research in LLMs or reinforcement learning.