Recommending products to Amazon customers – yes, that is the space that we work in. We blend a variety of disciplines (such as recommender systems, data mining, NLP, big data, ML and GenAI) to turn an intractable problem into a hard problem. For example: just because someone bought a purple dress does not mean that purple is the right color for them for all seasons; neither does it mean that you should recommend purple accessories. Just when someone buys a sofa, which rug in Amazon’s vast selection would it make most sense to pair with it? While there are other recommendation problems out there, none of them capture the scale of the problem, the rapidly changing inventory along with unique problems of fit, fabric and finish.

So how do we do it? We are a full stack team that own components all the way from dataset generation, high performance service oriented architecture to building great UIs that can surface recommendations in a pleasing and aesthetically appealing way. We work with engineers, scientists and product managers. As for techniques, we experiment with collaborative filtering, matrix factorization and a diverse set of supervised learning algorithms such as Neural Net and Learn to Rank. If you want to be on the cutting edge of personalization in ecommerce retail and reaching customers in a unique and valuable space, this is the team to be on! We have the mandate and ability to effect big changes, we just need the right person to begin.

As a software dev engineer, you will work with other dev teams, category owners, engineers, scientists and program managers. You will own and build infrastructure that accesses terabyte of data to produce and deliver datasets with low latency and high reliability. The goal is to assemble features and services quickly that can make a huge impact on the customer experience. What recommendations data could you use to make search more personalized? How can we use product similarity and sales data to augment and enrich our recommendations? How can we influence customers to drive long term value to Amazon?
We are looking for people who innovate, love solving hard problems, understand both technology and business, and have a great judgement skills. You will be able to build systems that will impact millions of customers and create multi-million dollar revenue opportunities, ship in just a couple of weeks and instantly measure the impact of what you have developed. And be able to go home and show your friends and family how you change the world!

Key job responsibilities
We are looking for a great software engineer with an interest in modern user interfaces, data science, machine learning, search, or recommendation systems. You have great problem solving skills. You love staying up-to-date with the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You will lead the charge on architecture and design decisions, as well as building out the experiences to deliver to millions of customers.



About the team
Our vision is to build the next generation of shopping experience at Amazon through personalization and understanding the customer's intent. We imagine our core experiences to work together as a talented personal shopping assistant would — a partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs. We aim for the quality of personalization to be a core reason customers choose Amazon, on par with Earth’s largest selection, low prices, and fast and free shipping.

About our organization:
Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for ...", “Customers who bought this item also bought”, and “Frequently bought together”. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.