AML算法研究员-搜广推大模型
Core
Researching deep integration of recommendation algorithms and large language models, focusing on LLM4Rec, cross-end foundation models, and billion-parameter multimodal models.
Role type
Senior Research Scientist (Recommendation & Large Language Models)
Builds
Generalizable and innovative algorithms for recommendation, advertising, and multimodal understanding systems.
Domain
Internet / Recommendation Systems / Large Language Models / Multimodal AI
Deliverable
production ML models
Required skills
Machine learning, Natural Language Processing (NLP), Deep learning, Algorithm design, Model optimization, Research methodology
Preferred skills
Experience leading high-impact projects in recommendation or large models, Publications in top-tier conferences (ACL, NeurIPS, ICML, ICLR, CVPR), Expertise in LLMs and multimodal understanding
Technologies
Large Language Models (LLM), Foundation Models, Multimodal models, Deep learning frameworks
Responsibilities
Explore deep fusion of recommendation algorithms and LLMs; Participate in deep learning algorithm application and optimization for high-compute scenarios; Collaborate with engineering teams to explore innovative algorithms under new architectures.
