We present, to the world, a new era of online Everyday Essentials shopping that offers fast delivery for low prices. As the fastest growing retail business at Amazon, our team of scientists and engineers have been working hard to find innovative ways to get Everyday Essentials products into the hands of our customers.

If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, the LeeP (LowASP Economics & Experiences) Team is the place for you.

The LeeP team is seeking an experienced engineer who combines superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. Experience developing cloud services and developer tools is critical. A successful candidate will be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems! You will work hard, have fun, and of course, make history!

At LeeP, we are focused on make shopping low-cost Everyday Essentials selection delightful for customers while driving economically sustainable growth for Amazon. We do this by, (1) devising, running, interpreting, and implementing results of scientific experiments that help us reach more customers in more economically sustainable ways, (2) enabling regional shopping experiences for our customers and regional optimizations for Amazon teams via tools and programs that we develop/manage (3) building compelling browse experiences and augmenting, optimizing, and orchestrating existing customer experiences that are useful to customers in their shopping journeys.

Key job responsibilities
- Learn and grow from a talented group of individuals within our team and within our sister teams
- Immerse yourself in the process of standing up new services from scratch, through powerful industry leading AWS products
- Solve problems which require novel solutions in low-latency systems
- Solve problems that center around scale, across the world, over hundreds of millions of customers
- Write high quality, maintainable code
- Perform peer code-reviews and contribute to technical designs
- Integrate and collaborate with applied science experts specialized in machine learning recommendation models
- Think outside the box when it comes to innovating for the customer. Our team is looking for fresh ideas to engage with customers across both internal and external mediums