算法工程师（ETA履约/智能定价/物流搜推融合方向）-国际电商
Core
Develop algorithms for ETA prediction, intelligent pricing, and search-recommendation fusion to optimize global supply chain efficiency, logistics costs, and traffic distribution for international e-commerce.
Role type
Senior Machine Learning Engineer (Logistics & Pricing)
Builds
ETA prediction models, pricing optimization frameworks, and LLM-based agent systems for e-commerce operations.
Domain
International E-commerce, Logistics, Operations Research
Deliverable
production ML models
Required skills
Deep learning, Graph Neural Networks (GNN), Causal Inference, Operations Research (OR), Large Language Models (LLM), Reinforcement Learning (RL), A/B testing, Python/C++/Java, Spark/Hive SQL
Preferred skills
Search/Recommendation algorithms, Dynamic pricing, Spatio-temporal modeling, Agentic workflows, Top-tier conference publications, O2O fulfillment experience
Technologies
TensorFlow, PyTorch, GNN, LLM, Agent, Spark, Hive SQL
Responsibilities
Develop and iterate ETA prediction models using deep learning and GNN; Design multi-objective optimization frameworks for freight pricing and subsidies; Integrate logistics factors into search and recommendation systems; Build and fine-tune vertical LLMs and agents for automated decision-making.
Seniority
Senior, hands-on IC