算法实习生（J106789）
Core
Researching ad strategy algorithms for search verticals using large model technologies to optimize business outcomes.
Role type
Intern, algorithm researcher (advertising & search)
Builds
End-to-end generative recall systems, high-quality ad creative generation, and optimized ad budget allocation.
Domain
Advertising, Search, Large Language Models, Reinforcement Learning
Deliverable
production ML models
Required skills
Python, PyTorch, C++, Large Language Models, Reinforcement Learning, Distributed Computing, Deep Learning, Machine Learning, Data Mining, SFT, Post-training
Preferred skills
AI Coding, Agents
Responsibilities
Optimize ad business effects using large model technologies; Explore end-to-end generative recall techniques; Generate high-quality ad creatives (titles, descriptions, images) based on user behavior and intent; Optimize ad budget effects across recall, ranking, creative, and style dimensions.
