算法工程师（J106626）
Core
Designing and implementing large language model (LLM) applications for information feed recommendation scenarios, including content understanding, user interest modeling, and recommendation strategy optimization.
Role type
Senior IC machine-learning engineer (LLM & recommendation systems)
Builds
Production recommendation systems integrating LLM capabilities for content discovery and user engagement
Domain
Internet / Recommendation Systems / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Large Language Models (LLM), Recommendation Systems, NLP, Multi-modal learning, Model Fine-tuning (SFT/Distillation), Prompt Engineering, Offline/Online Evaluation
Preferred skills
Master's or PhD in Computer Science/AI/Data Science, Research experience in LLMs or Recommendation Systems
Technologies
Python, PyTorch, TensorFlow
Responsibilities
Design and experiment with LLM-based recommendation strategies; Optimize recommendation performance using offline data and online metrics; Collaborate with engineering and product teams to scale LLM applications.
