Applied Scientist Machine Learning, Amazon Transportation

Amazons Middle Mile Surface Research Science seeks an Applied Scientist to invent and build machine learning models that improve how Amazon plans and operates its transportation network.

Amazons transportation network moves millions of truckloads of freight between vendors warehouses and customers using a fleet of trucks trains and airplanes on time and at low cost. Operating it requires constant decisions about how to route schedule and balance capacity across the network and our strategy is to make those decisions with science-driven technology. Because existing techniques rarely fit Amazons scale and unique business needs this role centers on inventing new approaches and algorithms.

As an Applied Scientist youll develop machine learning forecasting and prediction models and algorithms. You role will initially develop transit time prediction and uncertainty models. Your models will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers.

Key job responsibilities
- Design and develop machine learning forecasting and other prediction models that enhance our optimization and planning systems.
- Build models and algorithms from prototype to production-level systems.
- Translate ambiguous business problems into modeling approaches and drive the technical design with product engineering and operations partners.
- Influence key business decisions through rigorous modeling and analysis.
- Communicate results and recommendations to scientific and business audiences.

A day in the life
- Analyze data to investigate a business problem or model performance and identify improvements
- Brainstorm new algorithmic strategies or business opportunities with fellow scientists
- Leverage GenAI to build and test your new model features
- Run a simulation or experiment to evaluate your models performance
- Meet with product and tech partners to review project requirements data design or other project decisions
- Review code changes or a design document from a fellow scientist or engineers
- Write and present a paper documenting algorithm features results and recommendations

About the team
Middle Mile Surface Research Science builds the models and algorithms that plan and operate Amazons middle mile network. Our work spans operations research optimization and machine learning. We work on vehicle route planning capacity planning scheduling network design transit-time prediction demand forecasting and equipment re-balancing. Our team of about ten scientists is part of a broader science organization whose scientists bring deep expertise in machine learning and optimization. We optimize decisions worth billions of dollars and reach millions of customers.

- PhD or Masters degree and 4 years of science technology engineering or related field experience
- Experience building machine learning models or developing algorithms for business application
- 1 years of programming in Java C Python or related language experience
- Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests gradient-boosted regression LASSO logistic regression)

- Experience in professional software development
- Experience with forecasting and statistical analysis
- Experience in mathematics such as linear programming or nonlinear optimization

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 142800.00 - 193200.00 USD annually