Amazon is looking for an experienced software engineer to be the founding member of a new customer reviews development team in Seattle, WA. We own Amazon's famous Customer Reviews and Star Ratings – one of the world's largest community driven products and a hallmark, permanent feature of Amazon's retail website. This feature is a tremendously visible aspect of Amazon's brand and competitive advantage. We materially impact dozens of Amazon's retail businesses and hence are considered a tier-1 critical feature for the company.
Our features and designs have inspired many others, but we are relentlessly maintaining our lead in innovation. We are forming a team to develop transforming new features that will help millions of customers to make shopping decisions on-line. We strive to build the most intuitive and fast user experience possible. We will achieve it by utilizing Amazon's highly scalable distributed systems and applying the latest techniques in data mining, predictive modeling, and natural language processing.
You're a seasoned engineer looking for a career where you'll be able to innovate, to deliver, and to influence. You are passionate about start-up opportunities, where you succeed by fearlessly testing new ideas and rapidly iterating on technical solutions. You have a demonstrable track record of success delivering high quality software products and services at scale. You are a coding ninja with strong OO design skills, in-depth knowledge of web protocols (HTTP/XML/REST) and distributed system architectures based on SOA. You are a team guru who leads and mentors junior engineers and consults product owners.
About us together:
We're going to change the way that shoppers discover and evaluate products online. We will work together on defining features and our overall product roadmap. You will be a technical leader who owns core services and user applications. You will drive system architecture and establish sound software development practices. You will be writing code, participating in code reviews and creating documentation. We will dive deep into customer contributed data and system operational metrics identifying areas of improvement. We'll make tough decisions together, but we'll all understand why. We'll be the dream team.
Some technologies and problem spaces we'll be working on:
INTUITIVE WEB AND MOBILE APPLICATIONS – We will extend ways for Amazon customers to share their thoughts about purchases through ratings, reviews, and votes.. Based on the wealth of this community-contributed data we will reduce guesswork from making shopping decisions online. We will achieve these goals by building intuitive and responsive applications for the web, tablets and phones. We obsess on identifying new ways for tailoring user experiences to customer needs and preferences.
HIGHLY SCALABLE DISTRIBUTED SYSTEMS – Amazon's data has billions of records for a mind-boggling variety of products and millions of customers in multiple countries. We will leverage Amazon's cloud infrastructure to build systems and design algorithms that are able to handle these large amounts of data. Where traditional solutions fail we develop approximate, distributed, and streaming algorithms.
DATA MINING AND NATURAL LANGUAGE PROCESSING – We will use the latest machine learning and predictive modeling technologies to extract information valuable to shoppers. We will look for patterns, train thousands of models, and summarize data to gain insights about customer product needs and experiences. We continually evaluate the effectiveness of our solutions and ways to improve them.
It's an exciting time for at Amazon and especially within customer reviews. We are rebuilding our systems from the ground up. If you want to design, develop and implement systems at scale now and are looking for a challenge, now is a great time to talk to the reviews team!