Amazon’s new , Amazon Flex, aims to delight customers by delivering millions of packages faster than ever before. We are expanding our service rapidly to new geographies and products from groceries to big-
screen TVs in an increasingly complex network. We launched Prime Now, Amazon’s newest benefit for Prime members who can now skip a trip to the store by shopping on the Prime Now app for products like paper towels, shampoo, books, toys and batteries with orders delivered right to their door in an hour or less.
With Amazon Flex, individuals can now be their own boss, delivering ultra-fast Prime Now and Restaurant orders. Both Amazon Flex and and the experience of Prime Now are powered by the Amazon Flex App, which is available on iOS and Android.
The Amazon Flex App works in concert with our advanced systems and technology. The Amazon Flex App and technology will allow the partner to onboard, schedule times in advance or on , guide them through their deliveries with in-
app mapping and navigation, and more. You can find out more about Amazon Flex, our newest innovation, at flex.amazon.com.
Come join the team and help us make history!
The Last Mile Identity Fraud and Risk mitigation team is responsible for ensuring that we hire right partners that we feel comfortable exposing to our customers.
At the same time this team needs to ensure that the partner we have hired is the one delivering at customer's door steps(rather than someone else that we don't know of, on their behalf).
Our engineers are top-notch software developers who love listening to the customers, working as a team, and proactively taking the lead whenever necessary.
The successful candidate will be responsible for creating and delivering software solutions for the new program. In this role, you will have an opportunity to own design and development of various services.
You will have influence on system design and help build a team culture around practices that are critical to a quality .
Your work would be cross-functional, involving partnering with other teams in Amazon, including , fulfillment, research science, and finance teams to to apply optimization and machine learning to solve real-
world problems. We are looking for someone with a go-getter attitude who is ready to own a problem and passionately drive successful implementation.
We want someone who is a quick learner and ready to learn and adopt the latest techniques in computer science.