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
