About the job
Are You Ready to Redefine How the World Receives Its Packages?
What if your algorithms defined the most efficient path for millions of deliveries — every single day? At Amazon, we're building the science that makes that possible, and we're looking for exceptional scientists to help lead the way.
The Last Mile Routing & Planning organization develops the software, algorithms, and tools that power the "magic" of home delivery. Our planning and routing intelligence systems drive billions of daily decisions — enabling safe, efficient, and frustration-free routes for drivers across the globe.
Responsibilities
- Invent and design novel solutions for scientifically complex problem areas, and identify opportunities for invention within existing and new business initiatives
- Deliver large-scale, high-impact solutions to complex problems in support of medium-to-large business goals
- Shape the design of scientifically complex software systems, personally contributing significant portions of the critical scientific novelty
- Apply mathematical optimization, machine learning, and Generative AI techniques to develop solution methodologies for in-house decision support tools and software
- Research, prototype, simulate, and experiment with models — and actively participate in their production-level deployment in Python or Java
- Engage with the broader scientific community by publishing research articles and participating in leading research conferences
Qualifications
Minimum
- 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
Preferred
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 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