Amazon
Applied Scientist, Last Mile Science
$143K–$193K
Austin, TX +1 · Full-time · Posted Aug 27, 2026
- Location
- Austin, TX
Bellevue, WA - Experience
- PhD, or Master's degree and 5+ years of building machine learning models or developing algorithms for business application experience; 2+ years programming experience.
- Education
- PhD, or Master's degree; preferred PhD in a listed quantitative field or equivalent quantitative field.
About the job
Develops and deploys scientific algorithms and decision-support software for large-scale last-mile delivery routing and planning.
What you'll do
- Design, research, prototype, simulate, and deploy optimization and machine-learning solutions for logistics problems.
- Use data and scientific insights to identify opportunities and guide business decisions; communicate findings to technical and business audiences.
- Shape scientific software systems and contribute to research publications and conferences.
What they ask for
- PhD, or Master's degree and 5+ years of building machine learning models or developing algorithms for business application experience.
- 2+ years of programming in Java, C++, Python or related language experience.
- Experience applying theoretical models in an applied environment.
- Deep expertise in Operations Research and/or Machine Learning methods, including applying them to large-scale real-world business problems.
Nice to have
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- 3+ years of building machine learning models or developing algorithms for business application experience.
Pay
142,800.00 - 193,200.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Operations Research (OR), Machine Learning (ML), Generative AI, Python, Java, C++
AI focus
Applies machine learning and Generative AI techniques to develop methods for in-house decision-support tools and software.
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