Description

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.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

• Bachelor's Degree in Computer Science, Math or related field

• Strong Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis

• Ability to prioritize and make efficient trade-offs to iterate toward product launch.

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Master’s degree in Computer Science, Mathematics, or a related technical field; or equivalent combination of technical education and work experience.

• Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.

• A strong sense of curiosity and willingness to learn quickly, building knowledge and skills that this role requires.

• Hands-on experience in cloud-based distributed software design and development, especially utilizing AWS services.

• Experience designing software architectures for scalability, reliability and performance.

• Experience with designing and building state of the art personalized experiences and recommendation systems

• Experience with front-end development technologies on the web (HTML/CSS/JavaScript), Android, and iOS.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.