机器学习算法工程师-时效表达方向
Core
Build deep learning and statistical models for end-to-end ETA prediction, personalized ETA expression strategies, and dynamic decision optimization for e-commerce logistics.
Role type
Senior IC machine learning engineer (logistics ETA & causal inference)
Builds
Production ETA prediction models, personalized service strategies, and dynamic decision systems for e-commerce logistics
Domain
E-commerce logistics and supply chain
Deliverable
production ML models
Required skills
Deep learning, causal inference, online optimization, time series analysis, Python, TensorFlow/PyTorch
Preferred skills
Reinforcement learning, operations research, supply chain logistics
Technologies
Python, TensorFlow, PyTorch
Responsibilities
Build deep learning models for ETA prediction; Develop personalized ETA expression strategies based on user profiles; Apply causal inference to optimize delivery and splitting decisions; Research online dynamic decision schemes balancing accuracy and conversion; Model parcel trajectory sequences and detect anomalies.
Seniority
Senior, hands-on IC
