广告算法实习生（J107116）
Core
Design, develop, and deploy deep learning models for core advertising tasks including CTR/CVR estimation, bid optimization, and ad ranking.
Role type
Intern, deep learning algorithm engineer (advertising)
Builds
Production ad ranking and bidding systems
Domain
Advertising technology, deep learning, recommendation systems
Deliverable
production ML models
Required skills
Python, Linux, Spark, deep learning frameworks, statistical learning theory, data structures and algorithms
Preferred skills
Published research papers, experience with RankMixer/HLLM/RQ-VAE architectures, strong problem-solving skills
Technologies
Python, Linux, Spark, RankMixer, HLLM, RQ-VAE
Responsibilities
Design and deploy deep learning models for CTR/CVR estimation and ad ranking; build scalable feature pipelines with data engineers; conduct offline evaluation and online A/B testing; track and apply latest advancements in deep learning and computational advertising.
Seniority
Intern
