SoftwareDevelopmentEngineer,AmazonFreightPricing

Amazon Freight (AF) is transforming the multi-billion-dollar trucking industry by building technology that enables external customers to access the scale, reliability, and innovation of Amazon’s logistics network. Pricing is central to Amazon Freight’s growth and profitability. Every contract bid and on-demand quote directly impacts revenue, margin performance, and long-term portfolio health. The Amazon Freight Pricing team owns the intelligent systems that generate data-driven prices for both contract and spot freight across TL, LTL and Rail offerings. We are building an AI-first pricing platform - where machine learning models, data-driven experimentation, and automated decision support are embedded directly into production systems and sales workflows. Our goal is not just to generate prices, but to continuously learn, adapt, and improve pricing accuracy and margin performance over time. As an SDE II on the Amazon Freight Pricing team, you will build and scale the platforms that power: - ML-driven cost and price prediction - Margin modeling and scenario analysis - Contract pricing workflows and sales tooling - Real-time on-demand (spot) pricing systems - Monitoring, feedback loops, and model performance evaluation Our systems ingest large volumes of transportation, operational, and financial data to produce reliable price recommendations and insights. We partner closely with Research Science teams to productionize ML models and evolve them through continuous experimentation and performance tracking. In this role, you will: - Design and build scalable backend services that power contract and spot pricing - Integrate ML models into resilient, observable production systems - Develop infrastructure to support model deployment, monitoring, and iteration - Build LLM driven intelligent tooling that augments business decision-making with data-driven insights - Improve system reliability, latency, and cost efficiency at scale - Collaborate across engineering, product, rese