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 ETA prediction, intelligent pricing, and search-recommendation fusion algorithms for global e-commerce logistics and supply chain optimization.
Role type
Senior Machine Learning Engineer (Logistics & Pricing)
Builds
ETA prediction models, pricing optimization frameworks, and logistics-aware traffic distribution strategies.
Domain
E-commerce, Logistics, Supply Chain
Deliverable
production ML models
Required skills
Deep learning, Graph Neural Networks (GNN), Sequence modeling, Causal Inference, Operations Research (OR), LLM fine-tuning (CPT/SFT/RL), Python/C++/Java, TensorFlow/Pytorch, Spark/Hive SQL, A/B testing
Preferred skills
Search/RecSys ranking, Dynamic pricing, Spatio-temporal modeling, Agentic workflows, Top-tier conference publications, O2O fulfillment background
Technologies
TensorFlow, PyTorch, Spark, Hive, GNN, LLM
Responsibilities
Iterate OneTrans model for ETA accuracy; Design multi-objective optimization for freight pricing and subsidies; Integrate logistics factors into search and recommendation systems; Build vertical LLMs and Agent architectures for operational automation.
Seniority
Senior, hands-on IC