Amazon
Applied Scientist - Machine Learning, Amazon Transportation
$143K–$193K
Bellevue, WA · Full-time · Posted Aug 7, 2026
- Experience
- Master’s degree and 4+ years of relevant experience, or PhD; 1+ years of programming experience.
- Education
- PhD, or Master’s degree and 4+ years of science, technology, engineering or related field experience.
About the job
Develops machine-learning and optimization models for planning and operating Amazon’s middle-mile transportation network, including trailer imbalance forecasting and safety stock optimization.
What you'll do
- Design prediction models and algorithms for optimization and planning systems, and develop them from prototype to production.
- Translate business problems into modeling approaches and collaborate with product, engineering, and operations partners.
- Analyze and communicate model results and recommendations to influence business decisions.
What they ask for
- PhD, or Master’s degree and 4+ years of science, technology, engineering, or related field experience.
- Experience building machine-learning models or developing algorithms for business applications.
- 1+ years of programming experience in Java, C++, Python, or a related language.
- Experience with standard machine-learning and statistical modeling tools and techniques.
Nice to have
- Professional software development experience.
- Experience with forecasting and statistical analysis, or optimization mathematics such as linear programming and nonlinear optimization.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, random forests, gradient-boosted regression, LASSO, logistic regression
AI focus
Develops machine-learning, forecasting, and prediction models and algorithms; the role also leverages GenAI to build and test model features.
Model-written summary · the original posting is authoritative