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, research science, and business stakeholders globally
Prior ML experience is not required; engineers will gain hands-on experience integrating and operating ML-enabled services in production.

This role is ideal for engineers who want to work on high-impact systems where AI and large-scale distributed systems intersect to directly influence revenue and profitability. You will solve complex problems at the intersection of backend engineering, data systems, and applied machine learning — while helping shape the next generation of pricing intelligence at Amazon Freight.

Key job responsibilities
- Design and build scalable backend services for contract and spot pricing systems.
- Own end-to-end delivery of features from design through production support.
- Integrate and operate ML models within reliable, observable production systems.
- Develop APIs and internal tools that support sales and business decision-making.
- Improve system performance, scalability, and operational excellence.
- Participate in team on-call rotations, driving operational excellence through monitoring, incident response, and root cause resolution.