搜广推算法工程师（J106791）
Core
Develop and optimize algorithms for search, recommendation, and advertising systems to improve user engagement, conversion, and platform revenue.
Role type
Senior IC search, recommendation, and advertising algorithm engineer
Builds
Search ranking models, personalized recommendation engines, and ad bidding/optimization systems
Domain
Internet / E-commerce / AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, deep learning, multi-objective learning, reinforcement learning, vector retrieval, feature engineering, A/B testing, SQL, Spark
Preferred skills
Large language models (LLM), multi-modal learning, graph neural networks, personalized agents
Technologies
TensorFlow, PyTorch, FAISS, Milvus, RecSys, DeepFM, DIN, SASRec, Transformer, MMOE, PLE
Responsibilities
Optimize search recall, ranking, and relevance models; build user behavior modeling and sequence models for recommendations; develop CTR/CVR estimation and bidding mechanisms for ads; design and execute A/B experiments; implement model training and online inference optimization; explore frontier technologies like LLMs and RL for industry problems
