上海-搜广推算法工程师(J101091)
Core
Develop and optimize algorithms for search, recommendation, and commercial advertising systems to improve user engagement, conversion rates, and platform revenue.
Role type
Senior Search, Recommendation, and Advertising Algorithm Engineer
Builds
Search results, personalized recommendation feeds, and information/search ad placements
Domain
Internet / E-commerce / AI
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, TensorFlow), Python, vector search engines (FAISS, Milvus), multi-objective learning, sequence modeling, reinforcement learning, large language model integration
Preferred skills
Graph neural networks, multi-modal learning, online inference optimization, A/B testing design
Technologies
TensorFlow, PyTorch, FAISS, Milvus, Redis, Kafka, Hive, Spark
Responsibilities
Optimize full-link search retrieval and ranking; build user behavior modeling and interest mining for recommendations; estimate CTR/CVR and optimize bidding mechanisms for ads; design and execute A/B experiments for algorithm validation; develop feature engineering pipelines and training frameworks; explore frontier technologies like LLMs and agents for industry challenges
