Machine Learning Engineer - Global E-commerce (ETA, Pricing & Conversion)
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Data-driven decision making","Experimentation","Translating business problems","Analytical thinking"]Build large-scale machine learning systems for global e-commerce that connect discovery, search, and recommendations to real-world fulfillment. Own end-to-end ETA prediction using the OneTrans Model, and design pricing and subsidy strategies with causal inference. Integrate logistics factors into ranking and impression allocation to improve conversion, retention, and GMV. Advance LLM and AI agent capabilities using continual pre-training, fine-tuning, and reinforcement learning.

