算法工程师（J98828）
Core
Design and optimize causal inference, reinforcement learning, and transfer learning models to improve subsidy efficiency, user matching, and pricing strategies in a ride-hailing platform.
Role type
Senior IC algorithm engineer (causal inference & reinforcement learning)
Builds
Causal forest/DRCFR/DESCN models, RCT/AB testing infrastructure, multi-to-many dispatch engines, and RL decision frameworks
Domain
Ride-hailing / Transportation / Causal Inference / Reinforcement Learning
Deliverable
production ML models
Required skills
Causal inference, Reinforcement learning, Transfer learning, Feature engineering, Distributed computing, Model deployment, Experiment design (RCT/AB testing)
Preferred skills
Lambda solvers, Embedding optimization, High-concurrency system architecture
Responsibilities
Optimize smart call-back models and uplift baselines; Build multi-dimensional feature engineering systems; Design unified RCT experiment pipelines; Implement reinforcement learning mechanisms for ROI optimization; Develop multi-to-many dispatch engines; Build environment simulation systems for RL decision frameworks
Seniority
Senior, hands-on IC
